DroneDefender / A³O

Multi-layer drone detection systems

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.

Multi-layer drone detection: radar, RF/EM, optical and acoustic layers

Detection layers

A multi-sensor approach reduces blind zones and isolated alarms.

Radar
Radar

Radar

Detection and tracking of low-flying aerial targets around the protected site.

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Optical PTZ Tracking Turret
Optical

Optical PTZ Tracking Turret

Visual confirmation, optical/thermal channel and target tracking.

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EM / RF Scanner
EM

EM / RF Scanner

Passive monitoring of radio signals, suspicious RF activity and spectrum anomalies.

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DD-6 — Stationary EM Emission Analyzer (Drone Detector)
DD-6

DD-6 — Stationary EM Emission Analyzer (Drone Detector)

80 MHz–6 GHz: budget passive detection of control and video links at 5–10 km.

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DD-12 — Passive Long-Range Detection
DD-12

DD-12 — Passive Long-Range Detection

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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Acoustic Radar
Acoustic

Acoustic Radar

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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Mobile Drone-Threat Detection & Counteraction Complex
Mobile

Mobile Drone-Threat Detection & Counteraction Complex

A vehicle platform for drone detection and counteraction: mobile coverage or rapid relocation and deployment to close blind spots — convoys, events, temporarily protected sites.

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Why multi-sensor detection matters

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.

✓ Detection event
✓ Track
✓ Direction / bearing
✓ Confidence
✓ Sensor source
✓ Risk level
✓ Recommended confirmation
✓ Evidence fragment

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