• By Rhiannon Gallacher
  • September 7, 2022
  • 137 Views

Understanding On-Site Deployment of AI, Robots, and Where You Can Start

With custom payloads on advanced robotics or drones, such as Boston Dynamics’ SPOT or DJI’s Inspire 2, customers are able to autonomously access more gauges in hard to reach places.

Levatas’ gauge reading model has the intelligence to adapt to and work in a broad range of real world conditions and environments, gauge types and overcome common technical challenges like glare, condensation and perspective warping. takes environmental challenges into account, recognizing that one reading may not be as straightforward as the next. When presented with challenges like an obstructed view, condensation or glare where a clear reading cannot be made, the model will proactively seek human-in-the loop feedback from an expert over low accuracy results.

Learning from unknown challenges

With custom payloads on advanced robotics or drones, such as Boston Dynamics’ SPOT or DJI’s Inspire 2, customers are able to autonomously access more gauges in hard to reach places.

With custom payloads on advanced robotics or drones, such as Boston Dynamics’ SPOT or DJI’s Inspire 2, customers are able to autonomously access more gauges in hard to reach places.

Levatas’ gauge reading model has the intelligence to adapt to and work in a broad range of real world conditions and environments, gauge types and overcome common technical challenges like glare, condensation and perspective warping. takes environmental challenges into account, recognizing that one reading may not be as straightforward as the next. When presented with challenges like an obstructed view, condensation or glare where a clear reading cannot be made, the model will proactively seek human-in-the loop feedback from an expert over low accuracy results.

With custom payloads on advanced robotics or drones, such as Boston Dynamics’ SPOT or DJI’s Inspire 2, customers are able to autonomously access more gauges in hard to reach places.

Levatas’ gauge reading model has the intelligence to adapt to and work in a broad range of real world conditions and environments, gauge types and overcome common technical challenges like glare, condensation and perspective warping. takes environmental challenges into account, recognizing that one reading may not be as straightforward as the next. When presented with challenges like an obstructed view, condensation or glare where a clear reading cannot be made, the model will proactively seek human-in-the loop feedback from an expert over low accuracy results.

With custom payloads on advanced robotics or drones, such as Boston Dynamics’ SPOT or DJI’s Inspire 2, customers are able to autonomously access more gauges in hard to reach places.

Levatas’ gauge reading model has the intelligence to adapt to and work in a broad range of real world conditions and environments, gauge types and overcome common technical challenges like glare, condensation and perspective warping. takes environmental challenges into account, recognizing that one reading may not be as straightforward as the next. When presented with challenges like an obstructed view, condensation or glare where a clear reading cannot be made, the model will proactively seek human-in-the loop feedback from an expert over low accuracy results.

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