Russia has integrated a neural network into kamikaze drones to effectively select a target to hit.
Domestic engineers have developed a neural network for integration into kamikaze drones for the most accurate identification of the target equipment. Thanks to the innovation, drones will be able to recognize NATO equipment.
The development is called a “neural network for autonomous control and analysis” (NACA) and allows you to detect Leopard, Abrams tanks, Bradley infantry fighting vehicles and other Western equipment. The program is installed on the UAV control equipment, which receives a video signal from the drone’s camera. The neural network determines the type of equipment and its coordinates and sends this information to the operator’s console.
In the interview RIA News the head of the development company Hardbury-Rusfactor, Alexey German, said that NAKA will significantly increase the effectiveness of kamikaze drones, and in the future the neural network will be trained to identify all types of equipment in the enemy’s arsenal. Autonomous target selection by a drone will allow it to bypass enemy electronic warfare systems, and therefore the effectiveness of such developments is obvious.
The developer’s representative clarified that after the completion of a special military operation, the neural network will find application in civilian life. For example, it can be implemented on agricultural UAVs to search for lost animals.
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