Lockheed Martin has demonstrated a new counter-drone system designed to detect, track, identify, and defeat small Unmanned Aerial Systems (UAS) during a recent field event.
The system uses a modular, open-architecture design that combines artificial intelligence (AI)-enabled detection and tracking software with low-cost sensors and a range of effectors. It is built to allow rapid deployment and integration with other systems.
“Integrating diverse sensors through a user-optimized command and control (C2) system helps simplify threat identification,” said Tyler Griffin, C-UAS director at Lockheed Martin.
The demonstration showed the system’s ability to detect, track, and mitigate small drone threats, including individual targets and drone swarms. The system processes data in real time, enabling coordination between sensors and interceptors.