Drone technology advances rapidly, and only a software-centric solution can keep up. Dedrone’s DroneTracker software, hosted in the cloud or on-premise, uses our DroneDNA database to recognize and classify RF, WiFi, and non-WiFi drones. DroneTracker also integrates with 3rd-party sensors, and triggers alerts and countermeasures.
DroneDNA is a machine learning system and classification engine that recognizes drones of all kinds. Trained on millions of images and data points, it can distinguish between different drone models, and detect the difference between drones and other moving objects such as birds, planes, or other objects. DroneDNA signatures are continually updated via the cloud, enabling the Dedrone system to be always up-to-date to protect against the latest threats.
Reporting and Forensic Evidence
Dedrone sensors and integrated external video cameras record forensic evidence of drone intrusions. A combination of forensic data is automatically captured by the DroneTracker software, including drone manufacturer, model, time and length of drone activity, and video verification. Summary reports are automatically produced and available on-demand for easy analysis of the most critical airspace security data.
Advanced Video Analytics
Dedrone’s advanced, machine-learning algorithms are built-in to DroneTracker software, enabling the system to reliably detect the difference between drones and other moving objects in the airspace.
Based on an image recognition and classification library, the underlying analytics are trained on millions of data points and are continually updated via the cloud. DroneTracker accepts video from off-the-shelf surveillance cameras, turning them into full-time airspace monitoring sensors.