
Detect. Decide. Intercept.
Inspect
Move your cursor, or tilt your phone, to orbit the aircraft. Tap a marker to inspect a subsystem.

01 · Detect
Radar, passive RF, acoustic and EO/IR sensors feed an edge-AI computer that classifies quadcopters, FPV drones, VTOL and fixed-wing UAVs.
02 · Decide
Multi-object tracking and threat prioritisation. The ground station ranks targets; a human authorises the response.
03 · Intercept
From canister, catapult or vehicle the interceptor sprints to 350 km/h, tracks visually and captures with a recoverable net. No debris, no collateral.
Technical specifications
Autonomous counter-drone interceptor: 350 km/h sprint, edge-AI target recognition and non-destructive net capture, launched from canister, catapult or vehicle.
All figures are design targets from the SteelFalcon concept specification and are subject to confirmation through flight-test certification. Range, endurance and altitude are affected by payload, wind, temperature and air density.
Capabilities
Real-time target recognition and threat prioritisation on board.
EO, thermal, RF, acoustic and optional radar.
Recoverable net capture: threat neutralised intact.
Cooperative missions with automatic task assignment.
Secure boot, encrypted telemetry, anti-spoofing.
Canister, catapult or vehicle-mounted.
Live video, map, threat ranking, mission replay, fleet management.
Autonomous navigation with visual SLAM.
Use cases
Airports, power plants, refineries and data centres.
Perimeter defence against ISR and loitering threats.
Stadiums, rallies and VIP protection.
Interdiction of smuggling and contraband drones.
City-scale counter-drone networks.
Vehicle-mounted launch for mobile forces.
Ship and port perimeter defence.
Protection of sensitive sites and no-fly zones.
Gallery
Prototype builds and field trials of SteelFalcon, photographed by the SkySpectra engineering team.







