Russia has developed a neural network for drones that recognizes NATO military equipment
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Russia has created a neural network for drones capable of recognizing Leopard tanks and Bradley infantry fighting vehicles.
Russia has developed a universal neural network for unmanned aerial vehicles (UAVs) of all types called NAKA, which allows you to accurately identify enemy objects and equipment in the special military operation (SVO) zone on the territory of Ukraine, including Leopard tanks, Bradley infantry fighting vehicles and any other technique. This was stated by the CEO of the company that developed this software, Hardberry-Rusfactor, Alexey German.
Herman explained that the installation of the NAKA neural network is carried out on equipment that receives video from drone cameras. He gave an example that the aircraft transmits video to the operator’s console, and the program “loaded” into the console highlights the area of the terrain in green and reports the detection of a Leopard tank or Bradley infantry fighting vehicle, showing the exact coordinates of their location with a probability of 85%.
The CEO of Hardberry-Rusfactor added that in the future this neural network may find application for peaceful purposes, including on agricultural drones to search for lost animals that scatter over vast areas.
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