UAVOS has created and integrated into their autonomous systems video processing and computer vision algorithms for automatic recognition and tracking objects. Featuring the Vision and Recognition AI algorithms, with end-to-end solutions from autonomous labeling to a model training of a tracking algorithm which is based on a neural network, the software is specifically geared towards the security industry.
Co-Founder and CEO of UAVOS Aliaksei Stratsilatau comments on how advanced computer vision algorithms integrated into unmanned systems are enabled to transform the game in the security industry: “AI technologies now enhance situational awareness for the safety and security of people, goods, and equipment. AI powered Computer Vision can automatically detect problems, accelerate response times, and provide the real-time alerts necessary to proactively manage critical situations”.
The AI algorithms work through training a tracking algo 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 INC.’ 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.
