Detection & Airspace
Every drone flies in airspace that someone else increasingly wants to monitor — and counter-UAS is now one of the fastest-growing segments in the industry. These guides cover how drones are detected and tracked: RF, radar, acoustic and optical sensing, camera triangulation, and the AI sensor fusion that ties them into one reliable picture.
Acoustic Drone Detection: Microphone Arrays in Practice
How acoustic drone detection works: propeller signatures, microphone arrays and TDOA localisation, machine-learning classification, and why range and wind are the real limits.
Detection & AirspaceDrone Detection Systems: RF, Radar, Acoustic and Optical Compared
How drone detection works: RF, radar, acoustic and optical sensors compared on range, accuracy, cost and failure modes — and why serious systems fuse all four.
Detection & AirspaceOptical Drone Detection and Camera Triangulation
How optical drone detection works: EO/IR cameras with AI detection, cueing from other sensors, and stereo camera triangulation to fix a drone's 3D position.
Detection & AirspaceRF Drone Detection: How It Works, Range and Limits
How RF drone detection works: listening for control and video links, protocol libraries, direction finding, triangulation — and the autonomous-drone blind spot.
Detection & AirspaceSensor Fusion for Counter-UAS: Combining RF, Radar, Acoustic and Vision with AI
How AI sensor fusion combines RF, radar, acoustic and optical detection into one accurate track: association, Kalman filtering, and why fusion cuts false alarms.