Russia’s “Spider” system is capable of detecting unmanned aerial vehicles by their sound, the Ushkuynik Scientific-Research Centre said.

The system consists of a network of autonomous acoustic sensors, some of which can be deployed from the air into designated areas.

The developers noted that Spider can determine a drone’s flight direction, speed and type based on acoustic signals, according to Lenta.ru.

The system can detect small drones at distances of up to 200 meters, while its detection range for larger unmanned aircraft exceeds 1,000 meters.

Developer representative Mikhail Budyonny said the system uses neural-network technologies, allowing it to be trained to recognize new types of drones as they emerge.

“Thanks to neural-network technologies, our system can be trained, and when new drones appear, it can be taught to identify them as well,” Budyonny said.

The developers say the technology is designed to expand its ability to identify different unmanned aircraft through continued training.