1. Passive RF & sensor fusion — detects and classifies drones by passively listening for control, telemetry, GPS, and video links (without transmitting), combined with acoustic, visual (EO/IR) and radar returns for robust identification.

  2. Direction‑finding & geolocation — uses multi‑antenna arrays and TDOA/AoA techniques to estimate bearing and approximate position of the remote controller or drone, enabling response without jamming.

  3. Low false‑alarm algorithms — machine‑learning classification and multi‑sensor correlation reduce nuisance alerts (birds, RC toys, benign signals) and provide confidence scores for each contact.

  4. Integration & alerting — outputs geofences, track data, and standardized alerts (API, NMEA, MQTT, or VMS hooks) so C2, security teams, or physical countermeasures can respond safely.

  5. Covert & regulation‑friendly — because it does not emit RF interference, it’s legal in sensitive environments (airports, prisons, government sites) and won’t disrupt friendly comms or navigation systems.

  6. Operational features & maintainability — offers portable and fixed variants, web/GCS dashboards, automatic logging/forensics, remote firmware updates, and scalable deployment (single site → networked sensors).

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