Reliable drone detection needs several sensor layers. DroneDefender fuses radar, optical PTZ tracking, RF/EM scanning and acoustic radar into one picture — with real products behind each layer.
A multi-sensor approach reduces blind zones and isolated alarms.
Active detection and tracking of low-flying targets: 25 GHz operating frequency, 5–10 km range. Sees RF-silent and fiber-controlled aircraft — where passive channels are blind. Specifications for the exact model on request.
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80 MHz–6 GHz: budget passive detection of control and video links at 5–10 km.
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80 MHz–12 GHz: passive direction finding up to 10 km + optional illumination radar for RF-silent and fiber-controlled drones.
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30 MHz–6 GHz: passive detection, precise direction finding and network-based positioning. Full 360° coverage up to 8 km, 3° bearing accuracy on a hovering target.
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100 MHz–6 GHz: a rugged portable unit with a 13.3-inch touchscreen for rapid covert deployment. Up to 5 km, more than 20 drones simultaneously, 6–7 hours on battery.
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Visual confirmation, optical/thermal channel and target tracking.
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A passive acoustic layer of 4–8 distributed nodes: microphone arrays detect a drone by rotor sound, classify it by acoustic signature and localize it by triangulation. Works against RF-silent and fiber-controlled aircraft, at night and in fog — where RF sensors are blind. Emits nothing; the close-in layer that complements DD-6/DD-12.
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A vehicle platform for drone detection and counteraction: mobile coverage or rapid relocation and deployment to close blind spots — convoys, events, temporarily protected sites.
Learn more →One sensor does not solve the full task.
A single radar can have blind zones, a camera can lose visibility, an RF scanner may miss a radio-silent drone and acoustics can suffer from noise. DroneDefender fuses the layers into single target tracks and shows the result in the Digital Twin and Operator Console — so one drone never looks like five separate alarms.
By four complementary methods: radar sees the target physically, EM analysis picks up control and video links, optics confirm visually, acoustics hear the rotors. No single method covers every case, so A³O fuses them into one track.
It depends on the channel: passive EM analysis picks up control links at 5–10 km, radar works within a few kilometres against a small target, acoustics cover the close-in ring of a few hundred metres, and optics confirm the target within line of sight. Actual figures depend on terrain and the interference environment.
Yes. A drone on an autonomous route emits nothing, so EM analysis will not see it — but acoustic nodes hear its rotors and radar sees it. That is exactly why the perimeter is built in layers: losing one channel does not blind the system.
Passive sensors only listen to the spectrum and to sound, emitting nothing. The site is not exposed, there is no interference with navigation or communications, and no licensing problem. Radar, being active, adds a different kind of coverage but requires approvals — especially near an airport.
Not one sensor decides, but their combination: the radar signature, the presence or absence of a control link, the rotor sound spectrum and optical confirmation. The AI fuses the cues into one track and reports a confidence figure — the operator sees what the classification rests on.
Start with a short consultation, live demo or structured pilot program.
