The new solution will allow developers to save dozens of man-years when developing autopilots, as well as
The authors of the development were solving a pressing problem in AIfor autopilots, a selection of varied, representative data from the video stream. This task can be very time consuming in applications such as autopilot.
The authors have developed an AI that recognizes objects in a road, field or other scene with industrial accuracy: this is necessary to ensure safety in any weather conditions and time of day.
Developed by Cognitive Pilot Expertsthe mechanism also allows you to filter out "garbage" data from the video stream that does not affect the learning process in any way - such as moving the combine from one field to another with the header raised, or moments when it stands still or passes along a section of the route with negligible changes in the field scene ...
"If earlier it could take years to process a video stream when training neural networks and creating datasets, today we press a button and get the result.",” concludes Minkin.
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