Translated with AI from the Russian original.
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.
Read more on the topic:
- Russian Military Showed a Complex of Four "Yolka" Interceptor Drones for the First Time
- Russian Military Began Using a New Tactical Radar for Combating UAVs
- Sky Under Control: Russia Launched an Air Defense Coordination System That Works Without Internet
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