Kaspersky Antidrone is a new standalone solution that uses a trainable neural network to detect and classify civilian drones automatically. The system uses sensors, chosen to reflect the required environment, together with advanced technologies based on a neural network to inform the controller of drones approaching the designated zone. If necessary, Kaspersky Antidrone turns on a module which sends permitted radio interference signals, sending the approaching drone back to base or forcing it to land safely.
Kaspersky uses a patented laser scanning technology for primary detection of civilian drones. Solution is also designed to work with video and audio sensors, as well as radar, if applicable. A trainable neural network classifies drones by type and model. In many cases, the drone’s type and model dictate the choice of neutralization paradigm. A specially designed system generates a narrow interference beam to break the drone’s connection with either a GPs satellite or the remote controller. Once the connection is broken, the drone will either return to base or slowly descend.
