Unmanned systems developer UAVOS has created and integrated into its autonomous systems video processing and computer vision algorithms for automatic recognition and tracking objects. The technology is specifically geared towards the security industry with vision and recognition AI algorithms, autonomous labelling, and model training of a tracking algorithm which is based on a neural network, says the press release.
The AI algorithms work through training a tracking algoritym based on a neural network to learn the features of objects and their movements within a video sequence. The software has already successfully been integrated into Uavos’ pan-tilt platform for real-time long-range observation as well as advanced border protection, airports and other public facilities.
The system will use electro-optical (EO), light detection, and brain-inspired technologies to automatically recognize objects in environments from ground and aerial surveillance. Therefore, advanced computer vision algorithms integrated into Uavos. optoelectronic onboarding unit gyro-stabilized gimbal is used for both object detection and tracking to monitor the earth’s surface in the field of environmental protection, control of illegal logging activity, volcanic activity, etc.
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