Russian engineers have developed neural network algorithms that allow drones to be hit with small arms and lasers, reducing the cost of target destruction by a thousand times compared to classic anti-aircraft missiles. The solution was created by the Kazan company Arkodim, a resident of the Center for Unmanned Systems and Technologies.
The artificial intelligence-based system automatically detects, tracks, and calculates the trajectory of small UAVs, even with temporary loss of visual contact.
The algorithms work proactively: they predict the drone's position after a given period of time, which simplifies interception with conventional small arms. A laboratory prototype of a two-axis turret with autonomous target search has already been tested.
The development can be integrated into combat modules with a machine gun or laser, and also used in observation towers for targeting external neutralization means — including interceptor drones.
To launch serial production of anti-drone solutions, the developer will need 100 to 300 million rubles in investments.
