Computer Vision in Aerial surveillance

The solution is focused on real-time object and threat detection using bird eye, drone, satellite view visual feeds.


better than human eye detection capability – objects are detected earlier, faster and more precisely than average human operator’s capability using the same imagery

image prioritization – сomputer vision module decided which images and detections are more important and/or worth the human operator’s attention

AI traffic boosting – embedded computer vision detection and image prioritization allows the unmanned surveillance vehicle to automatically choose the most important images to be transferred to the ground in high resolution. This increases the resolution quality and speed of delivery, increasing real-time awareness.

bird view adapted models – system uses machine learning models specifically trained to detect objects visible from above, providing a competitive advantage over average multi-purpose detectors.

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