Energy Anti-Drone systems provide a multi-layered Counter-UAS solution designed to detect, identify, track, and assess unauthorized drones operating above power plants, substations, renewable-energy sites, storage facilities, and transmission infrastructure. By combining RF Detection, 3D Radar, Thermal Imaging, EO/IR Cameras, Acoustic Sensors, and AI-powered analytics, these platforms deliver continuous airspace awareness across critical energy environments.

Designed for continuous operation, the solution correlates information from multiple sensor technologies to create a unified picture of activity across the protected energy site. Security teams can detect suspicious flights before they reach sensitive assets, distinguish drones from birds and legitimate inspection aircraft, track multiple targets in real time, locate remote operators when RF conditions allow, and manage incidents through a centralized interface. The system can be adapted to conventional power stations, substations, solar and wind farms, battery-storage sites, fuel terminals, and other critical energy facilities.

FOIDAM combines RF Detection, 3D Radar, EO/IR Cameras, Thermal Imaging, Acoustic Sensors, and AI-powered analytics within a unified Counter-UAS architecture for energy infrastructure. RF systems identify drone-control and data-link signals, radar tracks objects above large and complex sites, and optical and thermal cameras provide positive visual verification in daylight and low-light conditions. By correlating these inputs, the system improves detection accuracy, reduces false alarms around electrical equipment and wildlife, and gives security personnel the information required for a timely and proportionate response.