A Thermal Anomaly Detection AI Model delivers ROI by:

1. Early Issue Detection: Identifies thermal anomalies early, such as overheating components, leaks, or insulation deficiencies, preventing costly damage and downtime.
2. Cost Savings: Reduces maintenance costs by addressing issues proactively and extending the lifespan of equipment and systems.
• Optimizes energy consumption and operational costs through improved efficiency.
3. Enhanced Safety and Compliance: Improves safety by promptly identifying potential hazards and ensures compliance with regulatory standards, avoiding fines and penalties.
4. Data-Driven Decision-Making: Provides detailed reports and actionable insights, facilitating better decision-making and resource planning, and analyzes trends and patterns in thermal data to optimize maintenance schedules and strategies.
5. Improved Asset Management: Supports strategic asset management by optimizing lifecycle management and maximizing asset value through proactive maintenance.
6. Scalability and Flexibility: Adaptable to various industries and environments, scalable as the number of assets increases and integrates seamlessly with existing maintenance systems and workflows, enhancing operational efficiency.
7. Competitive Advantage: Enhances reputation for reliability and quality maintenance, improving customer satisfaction and retention.
8. Sustainability: Identifies opportunities to improve energy efficiency and reduce environmental impact, supporting sustainability goals.

Overall, these benefits lead to cost savings, increased operational efficiency, enhanced safety, and a competitive edge in the market, providing a positive ROI for the organization.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

YES, Our software allows you to create up to 6 regions in an image with the ability to dynamically compare differences in temperature between regions. For example, Region 1’s average temperature is 10 degrees warmer than Region 3 which triggers an anomaly alert.

We provide the maximum, minimum and average temperature of the entire image as well as specified regions in the image. Our outputs include a dynamic legend and a static legend, along with a regional overlay on a raw capture of your camera if provided by the image capture device.

The Analog Gauge Reading Model delivers ROI through:

1. Labor Cost Reduction: Automates data collection, reducing the need for manual labor.
2. Improved Accuracy: Minimizes human error and provides consistent monitoring.
3. Increased Efficiency: Offers real-time data access and integrates with IoT systems for better operational control.
4. Enhanced Safety: Enables remote monitoring, reducing exposure to hazardous environments.
5. Data Analytics and Insights: Facilitates predictive maintenance and operational performance analysis.
6. Regulatory Compliance: Ensures accurate record-keeping for compliance.
7. Scalability: Easily expandable to include more gauges or systems.
8. Competitive Advantage: Positions the company as an innovator in its field.

These benefits lead to cost savings, improved efficiency, enhanced safety, and better decision-making, resulting in a significant ROI.

With a provided template image, most analog gauges can be configured to be read with high confidence. The only limitations may be due to color contrast on the gauge for tick marks and needles, as well as consistent lighting conditions for image capture.

Our Analog Gauge Reading model has been trained on multiple edge conditions, including distorted angles, dust, and low light conditions. Our template configuration approach allows the model to learn your particular conditions and adapt to ensure the impact of those challenging conditions are minimized as much as possible.

Our team is ready to assist by submitting your template image via our Gauge Configuration Request Form. Our team will process that template image to create a configuration that will read your gauge with confidence. You are also able to utilize the Detect Only feature that will zoom your gauge for human review.

YES, the Analog Gauge Reading model can read as many as four gauges in a single image with separate ranges and units of measure if needed. The model also allows for multiple units of measure represented in a single gauge as well.

While there may be some generative AI tools in the marketplace today that advertise this capability, the reliability of the Analog Gauge Reading model has been developed to ensure consistent confidence readings.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

The digital meter reading AI model from Levatas delivers ROI through:

1. Operational Efficiency: Automates readings, reduces labor costs, and provides real-time data.
2. Cost Savings: Lowers labor and operational costs associated with manual readings.
3. Improved Accuracy: Minimizes human error and detects anomalies quickly.
4. Enhanced Customer Service: Ensures accurate billing and provides usage insights.
5. Scalability: Can be widely deployed and supports remote monitoring.
6. Data-Driven Decisions: Enables predictive analytics and efficient maintenance planning.
7. Regulatory Compliance: Ensures accurate reporting and simplifies audits.
8. Environmental Benefits: Promotes resource efficiency and reduces carbon footprint.

These benefits lead to significant cost savings, improved efficiency, and better customer service, driving long-term ROI.

The Digital Meter Reading model can read multiple meters in a single image. You may choose which line of text you are targeting to read when multiple meters are present. This model comes with advanced seven-segment displays and computer screen printouts for monitoring temperatures, pressures, and voltages.

This AI model has been pre-trained and custom-trained with optical character recognition tools, along with custom image processing and meter identification to read each meter. The model does not require prior knowledge of specific meters to be read by this model.

YES, the Digital Meter Reading model can read as many as four gauges in a single image with separate ranges and units of measure if needed.

While there may be some generative AI tools in the marketplace today that advertise this capability, the reliability of the Digital Meter Reading model has been developed to ensure consistent confidence readings.

So few real world customers are taking actions on alerts from sensor panels in their facilities. Integrating AI with sensorized digital meters significantly enhances their functionality by interpreting large data volumes, detecting subtle anomalies, predicting maintenance needs, providing real-time monitoring and instant alerts, automating system responses, and offering actionable insights to optimize operations. AI's scalability allows for comprehensive system views, improves decision-making with detailed analysis, continuously learns for better accuracy, and enhances safety by identifying hazards and compliance issues early, leading to improved efficiency, cost savings, and overall performance.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Sight Glass Reading AI Model delivers ROI by:

• Improving Accuracy and Reliability: Reduces human error and provides consistent monitoring.
• Increasing Efficiency: Automates routine tasks and enables real-time monitoring.
• Saving Costs: Lowers labor costs, reduces maintenance expenses, and minimizes downtime.
• Enhancing Safety: Allows remote monitoring and proactive maintenance.
• Providing Operational Insights: Analyzes data for optimization and predictive maintenance.
• Ensuring Compliance: Simplifies regulatory compliance and reporting.

This AI model has been pre-trained on circular sight glass gauges and liquid level gauges. Our upcoming release will include oval-shaped, polygon, and square sight glasses. Lighting and color contrast are requirements to ensure a consistent reading from our AI model.

Our team is ready to assist by submitting your template image via our Gauge Configuration Request Form. Our team will process that template image to create a configuration that will read your gauge with confidence.

While there may be some generative AI tools in the marketplace today that advertise this capability, the reliability of the Sight Glass Reading model has been developed to ensure consistent confidence readings.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

The Pipe Valve Open/Closed Monitoring AI Model delivers ROI through:

1. Operational Efficiency: Automates monitoring, reducing manual labor and providing real-time alerts to minimize downtime.
2. Preventive Maintenance: Predicts valve failures for timely maintenance, extending equipment life.
3. Safety Improvements: Early anomaly detection prevents hazards and ensures compliance.
4. Cost Savings: Enhances energy efficiency, reduces downtime, and lowers operational costs.
5. Data-Driven Decisions: Offers insights for better decision-making and process optimization.
6. Scalability and Flexibility: Easily integrates with existing systems and adapts to different environments.

These benefits collectively enhance efficiency, safety, and cost-effectiveness, resulting in significant ROI.

Single handle valves that swivel 90 degrees between open and closed are included in the current version of the Valve Position Monitoring model. This allows the model to determine whether the handle is vertical or horizontal and configured to indicate which direction is open or closed.

Our team is ready to assist by submitting your template image via our Configuration Request Form. Our team will process that template image to enhance our existing model offering in a future release.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

The Panel Indicator Light Monitoring AI Model delivers ROI through:

1. Operational Efficiency: Automates monitoring, reducing manual labor and providing real-time alerts for quick issue resolution.
2. Improved Maintenance: Predicts light failures for proactive maintenance, extending component life.
3. Safety and Compliance: Detects anomalies early to prevent hazards and ensures regulatory compliance.
4. Cost Savings: Enhances energy efficiency, minimizes downtime, and reduces operational costs.
5. Data-Driven Insights: Offers valuable analytics for better decision-making and process optimization.
6. Scalability and Integration: Easily scales and integrates with various systems, providing flexibility and enhanced functionality.

These benefits collectively improve efficiency, safety, and cost-effectiveness, resulting in significant ROI.

So few real world customers are taking actions on alerts from sensor panels in their facilities. Integrating AI with sensorized indicator light panels significantly enhances their functionality by interpreting large data volumes, detecting subtle anomalies, predicting maintenance needs, providing real-time monitoring and instant alerts, automating system responses, and offering actionable insights to optimize operations. AI's scalability allows for comprehensive system views, improves decision-making with detailed analysis, continuously learns for better accuracy, and enhances safety by identifying hazards and compliance issues early, leading to improved efficiency, cost savings, and overall performance.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

The crack detection AI capability from Levatas delivers ROI through:

1. Preventive Maintenance: Early detection reduces costly repairs and downtime.
2. Enhanced Safety: Mitigates risks and ensures compliance with safety regulations.
3. Increased Efficiency: Automates inspections and optimizes resource allocation.
4. Data-Driven Decisions: Enables predictive maintenance and performance monitoring.
5. Scalability: Applicable across various assets and industries.
6. Improved Quality Control: Ensures high-quality products and consistent assessments.
7. Competitive Advantage: Demonstrates innovation and builds customer trust.
8. Cost Efficiency: Lowers labor and operational costs.

These benefits lead to significant cost savings, improved safety, and operational efficiency, driving long-term ROI.

The Crack Detection AI Capability has been designed against publicly available datasets specifically pulled to detect cracks in pipes and pavement. Increasing the types of cracks included would require additional training on specific datasets.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

The corrosion detection AI Capability from Levatas delivers ROI through:

1. Preventive Maintenance: Early detection reduces costly repairs and downtime.
2. Enhanced Safety: Prevents accidents and ensures compliance with safety regulations.
3. Increased Efficiency: Automates inspections and optimizes resource use.
4. Data-Driven Decisions: Enables predictive maintenance and continuous monitoring.
5. Scalability: Applicable across various assets and adaptable to different types of corrosion.
6. Improved Quality Control: Ensures high-quality products and consistent assessments.
7. Competitive Advantage: Demonstrates innovation and builds customer trust.
8. Cost Efficiency: Lowers labor and operational costs.

These benefits lead to cost savings, improved safety, and operational efficiency, driving long-term ROI.

The Corrosion Detection AI Capability has been designed against publicly available datasets specifically pulled to detect rust in pipes and walls. Increasing the types of corrosion included would require additional training on specific datasets.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

An AI model assessing powerlines and power pole conditions delivers ROI (Return on Investment) through several key mechanisms:

1. Early Detection of Issues: AI can analyze data from sensors to detect anomalies and predict potential failures in powerlines and poles before they occur, allowing for proactive maintenance. This reduces the likelihood of unexpected outages and minimizes repair costs.
2. Efficient Resource Allocation: By predicting maintenance needs, the AI model helps utilities schedule maintenance tasks more efficiently, reducing downtime and optimizing the allocation of maintenance resources.
3. Reduced Risk of Failures: Early detection and proactive maintenance of powerlines and poles improve their overall condition, reducing the risk of failures that could lead to safety hazards, property damage, or service interruptions.
4. Reduced Operational Costs: By minimizing downtime and emergency repairs, utilities can reduce operational costs associated with maintenance, repairs, and customer compensation for service disruptions.
5. Extended Asset Lifespan: Proactive maintenance and timely repairs extend the lifespan of powerlines and poles, maximizing the value of assets and delaying the need for costly replacements.
6. Operational Insights: The AI model provides utilities with valuable operational insights and trends, enabling data-driven decision-making to optimize network performance and efficiency.
7. Meeting Standards: By ensuring the structural integrity of powerlines and poles, utilities can maintain compliance with safety and regulatory standards, avoiding fines and penalties.
8. Reduced Service Interruptions: Fewer outages and faster response times to issues improve customer satisfaction and retention.
9. Flexible Deployment: The AI model can be scaled to cover large geographic areas and adapted to various types of powerline and pole infrastructure, providing flexibility in utility operations.

Overall, the AI model assessing powerlines and power pole conditions delivers significant ROI by improving reliability, reducing costs, enhancing safety, and enabling utilities to make more informed and efficient decisions.

The Powerline & Pole Assessment AI model identifies poles and powerlines in images to determine whether the pole is leaning, the powerline is down, the powerline contains a splice, or the insulator tie wire is disconnected.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

An insulator anomaly detection AI model delivers ROI by:

1. Preventing equipment failures and downtime through early anomaly detection, ensuring continuous operation.
2. Extending equipment life by enabling proactive maintenance.
3. Reducing maintenance costs via optimized maintenance schedules.
4. Improving safety by preventing hazardous situations.
5. Enhancing operational efficiency through automated monitoring.
6. Supporting data-driven decision making with valuable insights.
7. Minimizing energy losses and improving energy efficiency.
8. Boosting customer satisfaction by ensuring a reliable power supply.
9. Ensuring regulatory compliance to avoid fines and reputational damage.

These benefits collectively lead to cost savings, improved reliability, and greater operational efficiency.

Our Insulator Condition Assessment AI Model includes white and brown porcelain, polymer and mushroom insulators. The number of bells/fins on the insulators should range between 4 and 12 to be effectively detected from zoomed out images and smaller insulators can be detected in images that are significantly zoomed in.

Our Insulator Condition Assessment AI Model can identify insulators that are either in normal condition or have some type of damage. This damage is then classified into minor, major and severe classifications.

Our team is ready to assist by submitting your template image via our Configuration Request Form. Our team will process that template image to enhance our existing model offering in a future release.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Roof & Facade Anomaly Detection AI Capability delivers ROI by:

1. Early Detection and Preventive Maintenance: Detects anomalies early, such as cracks or leaks, allowing for proactive maintenance and minimizing repair costs and downtime.
2. Cost Savings: Reduces repair costs and avoids downtime associated with unexpected repairs.
3. Enhanced Safety: Mitigates risks by identifying potential hazards early, improving building safety and compliance with regulations.
4. Data-Driven Decision Making: Provides real-time monitoring and operational insights, enabling informed decisions and identifying areas for improvement.
5. Extended Building Lifespan: Proactive maintenance extends the lifespan of roofs and facades, reducing replacement costs.
6. Improved Energy Efficiency: Detects insulation and sealing issues, improving energy efficiency and reducing operational costs.
7. Competitive Advantage: Enhances reliability and reputation, providing a competitive edge in the market.
8. Scalability and Flexibility: Adaptable to different building types and scalable as the number of buildings increases.
9. Environmental Impact: Supports sustainability efforts by reducing energy waste and improving building material longevity.

Overall, these benefits lead to cost savings, improved building efficiency, enhanced safety, and a positive impact on the organization's reputation and sustainability goals.

YES, the Roof and Facade Anomaly Detection AI Capability has been designed to combine thermal images to detect hotspots or coldspots in the image along with thresholds to determine what is considered normal and what is considered an anomaly. Thermal imagery provides the greatest precision to leverage temporal changes to detect anomalies.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

A Conveyor Belt Sag Assessment capability delivers ROI by:

1. Preventive Maintenance and Reduced Downtime: Early detection and prediction of issues prevent breakdowns and minimize downtime, saving repair costs and maintaining production continuity.
2. Improved Efficiency and Productivity: Optimized operations and reduced waste through smoother production processes and increased throughput.
3. Enhanced Safety: Early warnings and compliance with safety standards reduce the risk of accidents and ensure worker safety.
4. Data-Driven Decision Making: Real-time monitoring and operational insights enable faster decision-making and identify areas for improvement.
5. Extended Equipment Life: Proactive maintenance extends the life of conveyor systems, reducing replacement costs.
6. Competitive Advantage: Enhances reliability, efficiency, and reputation, providing a competitive edge in the market.
7. Scalability and Flexibility: Adaptable to different conveyor types and scalable to cover additional facilities as operations expand.
8. Environmental Impact: Improves energy efficiency, reducing energy consumption and environmental footprint.

Overall, these benefits lead to cost savings, increased productivity, and operational efficiency, contributing to a positive ROI for the organization.

The Belt Sag AI Capability has been trained on publicly available datasets that contain conveyor belts in an assembly line or factory setting. Increasing the types of belts included would require additional training on specific datasets.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

A Tools & Parts Missing/Present AI model delivers ROI by:

1. Reducing downtime by ensuring all necessary tools and parts are available.
2. Improving inventory management through accurate tracking and optimization.
3. Enhancing operational efficiency by automating detection and reducing manual checks.
4. Preventing errors and rework by ensuring the correct tools and parts are used.
5. Supporting predictive maintenance by integrating with maintenance systems.
6. Improving safety by preventing the use of improper tools.
7. Enhancing customer satisfaction with timely and accurate task fulfillment.
8. Optimizing resource utilization to reduce waste and maximize use.
9. Reducing costs through improved efficiency and error reduction.
10. Facilitating data-driven decision-making with valuable insights for better planning.

These benefits collectively lead to cost savings, increased productivity, and improved overall operations.

YES, Our Tools & Parts Monitoring AI Model has been specifically designed to identify missing or present tools using QR codes with configuration to label the specific tool missing or present.

YES, with configuration applied to specific QR codes, our Tools & Parts Monitoring AI model identifies the specific tool missing or present. You can also attach metadata to add identification codes and keys for integration into Asset Management or Work Order systems.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Solar Panel Damage AI capability delivers ROI by:

1. Preventing revenue loss through early damage detection, maintaining peak efficiency.
2. Reducing maintenance costs with automated monitoring and targeted repairs.
3. Extending panel lifespan by enabling timely repairs.
4. Optimizing energy output to maximize production.
5. Improving safety by addressing potential hazards promptly.
6. Enhancing operational efficiency through automation.
7. Supporting predictive maintenance to prevent unplanned downtime.
8. Reducing warranty claims and costs by minimizing escalated issues.
9. Improving data collection and analysis for better design and maintenance.
10. Enhancing customer satisfaction with reliable energy production and reduced downtime.

These benefits collectively lead to cost savings, increased efficiency, and improved overall operations.

The Solar Panel Damage AI Capability has been designed against publicly available datasets specifically pulled to detect large areas of damage in a solar panel for review and maintenance. Refining this capability would require additional training on specific datasets.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

A Fuel Island Monitoring AI model delivers ROI by:

1. Reducing fuel theft and fraud for cost savings.
2. Enhancing operational efficiency with automated monitoring.
3. Optimizing fuel inventory management to prevent overstocking and stockouts.
4. Improving maintenance and equipment health by predicting maintenance needs.
5. Ensuring safety and compliance to avoid fines and accidents.
6. Lowering operational costs through optimized fuel usage.
7. Supporting data-driven decision-making with valuable insights.
8. Improving customer service for increased satisfaction and loyalty.
9. Detecting and addressing anomalies to prevent costly damages.
10. Facilitating predictive maintenance to minimize downtime.

These benefits collectively lead to cost savings, increased efficiency, and improved overall operations.

Our Fuel Island Monitoring AI Model identifies full fuel bays and empty fuel bays at either indoor or outdoor facilities and provides a number of occupied and unoccupied bays for analysis and action.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A vehicle damage assessment AI model delivers ROI by:

1. Speeding up claims processing for quicker resolutions.
2. Reducing labor costs by automating assessments.
3. Improving accuracy and consistency to reduce errors and disputes.
4. Enhancing customer experience with faster claim resolutions.
5. Optimizing repair processes with precise damage reports.
6. Reducing fraud by detecting anomalies.
7. Supporting underwriting and risk management with better data.
8. Streamlining operations for increased efficiency.
9. Providing data-driven insights for better decision-making.
10. Reducing disputes and litigation with accurate assessments.

These benefits collectively lead to cost savings, increased efficiency, and improved overall operations.

The Vehicle Damage Assessment AI Capability has been designed against publicly available datasets specifically pulled to detect large areas of damage with the intention of insurance review and estimation. Refining this capability would require additional training on specific datasets.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

An unauthorized person detection AI model delivers ROI by:

1. Enhancing security through quick and accurate detection.
2. Preventing theft and vandalism by identifying unauthorized individuals.
3. Reducing security guard costs through automated monitoring.
4. Improving incident response time by enabling prompt actions.
5. Enhancing safety by preventing potential threats.
6. Ensuring compliance with access control regulations.
7. Reducing false alarms with accurate detection.
8. Optimizing resource allocation for improved efficiency.
9. Providing operational insights for better security protocols.
10. Protecting reputation and brand image by maintaining a secure environment.

These benefits collectively lead to improved security, reduced costs, enhanced operational efficiency, and protection of the organization's reputation.

YES, the Unauthorized Person Detection AI Model has been designed to combine thermal images to detect concentration of temperatures to detect people in the image. Thermal imagery provides the greatest precision to leverage temporal changes to detect people.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

An unexpected object detection AI model delivers ROI by:

1. Enhancing safety by preventing accidents and hazards.
2. Protecting assets and equipment from damage.
3. Improving operational efficiency by automating detection.
4. Preventing production downtime with early detection.
5. Reducing maintenance costs by preventing damage.
6. Ensuring compliance with safety regulations.
7. Optimizing resource allocation with real-time alerts.
8. Protecting reputation and brand image by maintaining a safe environment.
9. Reducing false alarms through accurate detection.
10. Supporting data-driven decision-making with actionable insights.

These benefits collectively lead to improved safety, reduced costs, enhanced operational efficiency, and protection of the organization's reputation.

YES, the unexpected object detection model inspects the ground or pavement and identifies objects that contain color contrast to that pavement within the masking frame of the image capture, which is roughly 80% of the total image.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Person Detection and Counting AI Model delivers ROI by:

1. Optimizing staffing and resource allocation based on accurate real-time data.
2. Enhancing customer experience by managing flow and reducing wait times.
3. Improving safety and security through effective monitoring.
4. Optimizing space utilization to improve efficiency and potentially reduce costs.
5. Providing valuable data-driven insights for better decision-making.
6. Increasing operational efficiency by automating monitoring tasks.
7. Reducing waiting times and improving service delivery.
8. Ensuring compliance with occupancy regulations and safety guidelines.
9. Achieving cost savings through optimized operations.
10. Offering adaptability and scalability across different environments.

These benefits collectively lead to improved business performance, customer satisfaction, and profitability.

NO, none of the AI models included in the Levatas Cognitive Inspection Platform contain facial recognition. Our team balances the following concerns around facial recognition and encourage our customers to steer clear of facial recognition AI.

1. Privacy Concerns: It can identify individuals without consent, raising privacy issues.
2. Ethical Considerations: There are concerns about civil liberties, surveillance, and discrimination.
3. Legal and Regulatory Challenges: Compliance with privacy regulations can be difficult.
4. Accuracy and Bias: It may not be accurate and can exhibit bias.
5. Security Risks: It's vulnerable to hacking and misuse.
6. Public Opposition: There's significant public concern about its use.
7. Alternative Methods: Other methods can often achieve detection without facial recognition.
8. Trust and Acceptance: Inclusion can undermine trust in AI models, especially in sensitive settings.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Vehicle Detection & Counting AI Model delivers ROI by:

1. Optimizing traffic flow and reducing congestion.
2. Improving urban planning through data insights.
3. Enhancing safety by monitoring vehicle movements.
4. Managing parking and optimizing space utilization.
5. Optimizing resource allocation for public services.
6. Generating revenue from transportation-related services.
7. Achieving cost savings in fuel consumption and operational expenses.
8. Supporting data-driven decision-making for transportation policies.
9. Promoting environmental benefits by reducing emissions.
10. Enhancing public satisfaction and mobility in urban areas.

These benefits collectively lead to improved efficiency, reduced costs, and enhanced quality of life in urban environments.

No, we have only included object detection of vehicles and counting of those vehicles in this AI model. We have a separate model entitled Asset ID & Text Reading where specific License Plate data can be read as long as the zoom level of the image capture meets the specifications for that model.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Fence Damage Monitoring AI Capability delivers ROI by:

1. Early detection of damage to prevent further deterioration.
2. Reducing maintenance costs by enabling timely repairs.
3. Enhancing security by maintaining a secure perimeter.
4. Improving safety by preventing accidents and injuries.
5. Preventing asset loss from theft or vandalism.
6. Ensuring compliance with safety and security regulations.
7. Improving operational efficiency with automated monitoring.
8. Protecting reputation by demonstrating commitment to security.
9. Potentially reducing insurance premiums through risk management.
10. Enabling data-driven decision-making with valuable insights.

These benefits collectively lead to cost savings, improved security, and enhanced operational effectiveness.

The Fence Anomaly Detection AI Capability has been designed against publicly available datasets specifically pulled to detect large gaps in fences that have specific screen reinforcement to reduce transparency. Refining this capability would require additional training on specific datasets.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

An Open & Closed Door Monitoring AI Model delivers ROI by:

1. Improving security through detection of unauthorized access.
2. Enhancing safety by ensuring doors are properly closed in hazardous environments.
3. Optimizing energy efficiency by managing HVAC systems.
4. Increasing operational efficiency through automated monitoring.
5. Reducing maintenance costs by detecting faulty doors early.
6. Ensuring compliance with safety and security regulations.
7. Enhancing customer experience by maintaining indoor comfort.
8. Preventing loss of merchandise or assets.
9. Providing insights for operational improvement.
10. Supporting emergency preparedness by aiding rapid response.

These benefits collectively lead to cost savings, improved efficiency, and enhanced safety and security.

Our team is ready to assist by submitting your template image via our Configuration Request Form. Our team will process that template image to enhance our existing model offering in a future release.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

A Parking Lot Capacity AI Model delivers ROI by:

1. Optimizing parking space utilization to maximize revenue.
2. Improving customer experience by reducing search time.
3. Increasing revenue through higher occupancy rates.
4. Reducing operational costs by automating monitoring.
5. Optimizing traffic flow and reducing congestion.
6. Enhancing security by detecting unauthorized activities.
7. Ensuring compliance with regulations and reporting.
8. Enabling data-driven decision-making for management.
9. Optimizing maintenance by detecting issues early.
10. Enhancing brand reputation through improved customer satisfaction.

These benefits collectively lead to increased revenue, cost savings, and improved efficiency in parking management.

YES, this AI model identifies whether a vehicle is detected in the image inside a rectangle sized based on other rectangles in the image. If the rectangle contains a vehicle, the space is considered full. If the rectangle doesn’t contain a vehicle, the space is considered empty.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Fire Watch Inspection AI Capability delivers ROI by:

1. Improving compliance and safety by ensuring adherence to fire safety regulations and reducing liability costs.
2. Reducing labor costs through automated inspections.
3. Early detection of fire hazards to prevent incidents and minimize property damage.
4. Optimizing preventive maintenance schedules to reduce maintenance costs.
5. Enhancing operational efficiency with comprehensive and efficient inspections.
6. Potential insurance premium reductions by demonstrating proactive risk management.
7. Protecting assets from fire damage and minimizing business interruption.
8. Providing data-driven insights for informed decision-making and strategic planning.
9. Supporting emergency response with accurate information on fire risks.
10. Enhancing reputation and stakeholder confidence by demonstrating commitment to safety.

These benefits collectively contribute to cost savings, risk mitigation, and improved operational effectiveness for organizations implementing Fire Watch Inspection AI Capabilities.

The Fire Watch AI Capability has been designed against publicly available datasets specifically pulled to detect small flames against an outdoor landscape with the intention of identifying wildfires. Refining this capability would require additional training on specific datasets.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

A Liquid Spill Detection AI Model delivers ROI by:

1. Early detection and response to liquid spills, minimizing cleanup costs and damage.
2. Preventing workplace accidents by reducing slips and falls.
3. Ensuring safety and compliance with regulations, avoiding fines.
4. Improving operational efficiency by automating detection and reducing manual inspections.
5. Minimizing downtime and operational disruptions.
6. Reducing environmental impact by preventing spills from spreading.
7. Saving on cleanup costs associated with spills.
8. Protecting reputation and brand image through proactive risk management.
9. Providing data-driven insights for improving spill prevention strategies.
10. Potentially lowering insurance premiums by demonstrating risk management practices.

These benefits collectively contribute to cost savings, risk mitigation, and improved operational effectiveness for organizations using a Liquid Spill Detection AI Model.

Our Liquid Spill Detection model defines “liquid” using:

1. Color and Intensity Analysis: Identifies liquids based on characteristic colors and brightness variations.
2. Shape and Volume Analysis: Analyzes the shape and volume of substances to distinguish liquids.
3. Transparency and Depth Perception: Identifies transparency and translucency to differentiate liquids from solids.
4. Machine Learning and Training: Uses machine learning to improve detection accuracy through training on diverse datasets.

Our Liquid Spill Detection AI model defines a “spill” using:

1. Shape and Boundary Detection: Identifies spills by detecting irregular shapes or edges that indicate the presence of spilled liquids.
2. Machine Learning and Training: Uses machine learning algorithms trained on diverse datasets to improve detection accuracy.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Smoke and Fire Detection AI Model delivers ROI by:

1. Early detection and prevention of smoke and fire incidents.
2. Reducing operational downtime and minimizing business interruptions.
3. Enhancing safety and security for occupants and personnel.
4. Minimizing property damage and loss by enabling rapid response.
5. Ensuring compliance with fire safety regulations.
6. Potentially lowering insurance premiums through proactive risk management.
7. Improving operational efficiency by automating fire detection.
8. Supporting data-driven decision-making for fire prevention strategies.
9. Enhancing reputation and customer confidence through safety measures.
10. Minimizing environmental impact by preventing fire spread and hazardous material release.

These benefits collectively contribute to cost savings, risk mitigation, and improved operational effectiveness for organizations using Smoke and Fire Detection AI Models.

Our Smoke & Fire Detection AI Model differentiates between smoke and fire using several methods:

1. Color and Intensity Analysis: Detects the bright, intense colors of fire (yellow, orange, red) versus the darker, less intense colors of smoke (gray, black).
2. Texture and Movement Analysis: Identifies the dynamic, flickering texture of fire and the billowy, smooth texture of smoke.
3. Shape and Boundary Detection: Detects the defined shape and boundaries of fire due to flames and heat, compared to the more uniform spread of smoke.
4. Depth and Transparency: Detects transparency differences, as fire is more transparent due to light emission, while smoke is more opaque.
5. Machine Learning and Training: Utilizes machine learning algorithms trained on a dataset of fire and smoke instances to improve accuracy in detection.

These methods enable the AI model to effectively differentiate between smoke and fire, facilitating prompt detection and response to mitigate potential risks and damages.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Fire Safety Equipment Monitoring AI Model delivers ROI by:

1. Improving equipment reliability through continuous monitoring.
2. Enhancing safety and compliance by ensuring readiness and meeting regulations.
3. Reducing maintenance costs by detecting issues early and preventing failures.
4. Minimizing downtime and business interruption by ensuring equipment is operational.
5. Increasing operational efficiency by automating monitoring processes.
6. Providing early detection of issues to enable prompt corrective actions.
7. Supporting data-driven decision-making for optimizing fire safety strategies.
8. Potentially lowering insurance premiums by demonstrating proactive risk management.
9. Enhancing reputation and customer confidence by ensuring safety and reliability.
10. Protecting the environment and property by preventing emergencies.

These benefits collectively contribute to cost savings, risk mitigation, and improved operational effectiveness for organizations implementing Fire Safety Equipment Monitoring AI Models.

Our Fire Safety Equipment AI Model includes the following Fire Safety Equipment types:

• Fire Extinguishers
• Fire Equipment that contains circular analog gauges

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

An Unexpected Debris Detection AI Model delivers ROI by:

1. Preventing damage and enhancing safety by early detection of debris.
2. Improving operational efficiency by reducing disruptions and downtime.
3. Reducing repair costs associated with vehicle or equipment damage.
4. Ensuring compliance with safety regulations and standards.
5. Enhancing customer satisfaction through a cleaner and safer environment.
6. Providing data-driven insights for better planning and resource allocation.
7. Minimizing environmental impact by preventing debris-related accidents.
8. Supporting risk management and potentially reducing insurance premiums.
9. Optimizing operations by automating debris detection.
10. Achieving long-term cost savings by preventing incidents and repairs.

These benefits collectively contribute to cost savings, risk mitigation, and improved operational effectiveness for organizations implementing Unexpected Debris Detection AI Models.

YES, the unexpected debris detection model inspects the ground or pavement and identifies objects that contain color contrast to that pavement within the masking frame of the image capture, which is roughly 80% of the total image.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

An AI model for asset identification and text reading delivers ROI by enhancing operational efficiency, reducing errors, cutting costs, ensuring regulatory compliance, improving customer satisfaction, and providing scalability. It automates data entry, offers real-time monitoring, aids in preventive maintenance, and creates accurate documentation, leading to cost savings and better decision-making. By speeding up processes and handling large data volumes, it also provides a competitive edge and supports innovation. These benefits translate into significant financial and strategic advantages for businesses.

The Asset ID & Text Reading model can read multiple labels in a single image. You may choose which line of text you are targeting to read when multiple labels are present. This model comes with advanced displays and computer screen printouts for optical character recognition.

This AI model has been pre-trained and custom-trained with optical character recognition tools, along with custom image processing to read each label. The model does not require prior knowledge of specific labels to be read by this model.

YES, the Asset ID & Text Reading AI model can read as many as four labels in a single image with different types of text configurations if needed.

While there may be some generative AI tools in the marketplace today that advertise this capability, the reliability of the Asset ID & Text Reading AI model has been developed to ensure consistent confidence readings.

So few real world customers are taking actions on alerts from digital readings in their facilities. Integrating AI with digitally read asset labels significantly enhances their functionality by interpreting large data volumes, detecting subtle anomalies, predicting maintenance needs, providing real-time monitoring and instant alerts, automating system responses, and offering actionable insights to optimize operations. AI's scalability allows for comprehensive system views, improves decision-making with detailed analysis, continuously learns for better accuracy, and enhances safety by identifying hazards and compliance issues early, leading to improved efficiency, cost savings, and overall performance.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

A Yard Awareness AI Capability delivers ROI by:

1. Enhancing Safety and Security: Detects unauthorized access and safety hazards, reducing accidents and theft.
2. Improving Operational Efficiency: Automates monitoring and logistics, optimizing traffic flow and resource allocation.
3. Protecting Assets and Preventing Loss: Alerts to potential damage or theft, minimizing repair and replacement costs.
4. Ensuring Compliance and Risk Management: Monitors safety regulations and provides data for proactive risk mitigation.
5. Reducing Insurance Premiums: Demonstrates proactive measures, potentially lowering insurance costs.
6. Monitoring Environmental Conditions: Ensures optimal storage conditions and environmental safety.
7. Providing Data-Driven Insights: Supports decision-making and predictive maintenance with operational data.
8. Enhancing Reputation and Customer Confidence: Demonstrates commitment to safety and efficiency, improving stakeholder trust.

These benefits collectively contribute to cost savings, risk mitigation, and improved operational effectiveness for organizations implementing Facility Yard Awareness AI Models.

The Yard Awareness AI Capability has been designed against publicly available datasets specifically pulled to detect vehicles and objects in a particular location to understand capacity or obstacles. Refining this capability would require additional training on specific datasets.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.

A Product Defect Detection AI Capability delivers ROI by:

1. Improving Product Quality: Detects defects early, ensuring high-quality products.
2. Reducing Manufacturing Costs: Minimizes waste and rework, optimizing production efficiency.
3. Enhancing Customer Satisfaction: Ensures products meet quality standards, reducing complaints and returns.
4. Ensuring Compliance and Risk Mitigation: Meets regulations, reducing legal risks and penalties.
5. Improving Operational Efficiency: Automates detection, freeing resources for other tasks.
6. Providing Data-Driven Insights: Identifies defect trends, enabling process improvements.
7. Enhancing Brand Reputation: Demonstrates commitment to quality and reliability.
8. Achieving Long-Term Cost Savings: Reduces costs related to recalls and warranty claims.

These benefits collectively contribute to cost savings, risk mitigation, and improved operational effectiveness for organizations implementing Product Defect Detection AI Capabilities.

At Levatas, when we use the term AI Model, we specifically mean an existing and mature computer vision model that will work 'out of the box', without requiring any new image data from our customers. These models deliver highly accurate results because they have already been trained on a variety of datasets, including real-world data from customers who have allowed it's use, publicly available datasets as well as synthetically generated data using a variety of techniques. On our website, and in our materials, you will find the Levatas AI Models highlighted in green. All of our AI Models come included with a license of the Cognitive Inspection Platform, and Levatas adds multiple new AI Models to our ever-growing library every few months.

When we refer to something as an AI Capability, it means that Levatas can deliver the desired functionality, and uses an existing foundational algorithm or model as a starting point, but we will require image data from our customers in order to tune the model in order to deliver accurate results. On our website, and in our materials, you will find the Levatas AI Capabilities highlighted in blue. For example, many of our AI Capabilities are based on powerful change detection and anomaly detection models that we shape on our customer's behalf. This will involve a rapid and cost effective professional services engagement. Once the AI Capability has been developed and delivered, there are no additional ongoing costs or fees, outside of the normal license fee for the Cognitive Inspection Platform. At Levatas, AI Capabilities that see enough demand from our customers get added to our AI Model development roadmap, which is how we continue to grow the AI Model library. Our roadmap is prioritized each quarter on what creates the most real world value for our customers.

The Levatas Cognitive Inspection Platform was built to enable AI Integrations with many different types of third party models. These can include open source models, proprietary models that our customers may have already trained, custom models that we develop in collaboration with our customers, and of course, any Generative AI models that make sense.

We define our AI Solutions as a set of multiple AI Models and/or AI Capabilities that work together to deliver a set of inspection outcomes. For example, our FireWatch AI Solution involves Thermal Anomaly Detection, Smoke/Fire Detection and potentially Object Detection, depending on the specific customer need. These individual AI Models and AI Capabilities work together to form an AI Solution.

The Product Defect Detection AI Capability has been designed against publicly available datasets specifically pulled to identify imperfections in panels of plywood or metal. Increasing the types of products included would require additional training on specific datasets.

Our team utilizes open-source models and publicly available data to create a baseline model candidate for evaluation. Then, we take your data and assess whether this model candidate can be enhanced with a limited training dataset as a proof of concept. Contact us to hear more about opportunities to take advantage of these AI capabilities for your specific use cases.