At Robin Radar, our global mission is to help you reduce the risk of major safety incidents involving birds and drones. We do that by providing actionable information to increase safety within your airport, or airbase’s specific geographical, ecological and safety management context. The Drone Classification Module adds an entirely new dimension to your airspace security, helping to uphold high levels of safety and efficiency, and prevent expensive claims.

This new upgrade is made possible by our extensive drone radar knowledge and experience, and based on recent developments in deep learning, a sub-segment of machine learning and artificial intelligence. Using deep learning, Robin has now been able to bring drone classification functionality to MAX®, originally designed solely as a bird radar.

The Drone Classification Module uses these deep learning algorithms to identify and classify the radar signals returned by drones. Once the drone comes within range of the classification capabilities of the DCM, the track will be identified as a drone and the classification and colour of the track on Bird Viewer will change.

The outer range at which the Drone Classification Module can detect drones depends on the type, size, and materials of individual drones. In general, the larger the drone, the further the classification range, with the detection range of a drone typically much larger than the classification range. The DCM can provide secondary drone radar functionality to complement MAX® users’ robust bird detection capability, but if you require superior drone detection and classification range, we recommend our dedicated drone radar, IRIS®.