DroneWatcher is a multi-layer counter-UAS system engineered for the detection, tracking, and classification of small, low-signature drones in complex operational environments. Combining True3D radar, radio-frequency scanning, radar-cued electro-optical and infrared imaging, and real-time AI-driven target classification, the system delivers persistent situational awareness for unmanned systems operations. Its architecture is specifically designed to identify both cooperative and non-cooperative aerial targets, including RF-silent or pre-programmed drones, while maintaining reliable performance against fast, slow, and low-observable threats.
Developed in the United States, DroneWatcher integrates advanced signal processing to minimize nuisance alerts caused by environmental factors such as weather, wildlife, and airborne debris. The platform supports flexible deployment, allowing individual sensors to operate independently or as part of a unified detection network incorporating radar and SIGINT technologies.
