Three sensors, one decision engine, an offline-resilient edge node, and a guard with override authority. This is what's actually running every time the boom barrier moves.
A vehicle approaches. Three sensors fire in parallel. A decision engine reasons. The boom moves — or a guard is alerted.
FASTag (UHF RFID) reader, LPR camera and face camera all fire when motion is detected at 8m. No sequential polling — every modality starts capturing simultaneously.
The edge node correlates the FASTag, plate read and face match against the local whitelist. Confidence scored. Conflicts flagged. All within ~400ms.
If confidence clears the threshold, the relay opens the boom barrier locally. Guard sees a green tile. Resident gets a push notification. Log is written.
Every other gate system has a single point of failure. FASTag unreadable? Stop. Camera dirty? Stop. Dwaar AI runs three sensors in parallel and uses confidence-weighted handover — so the gate always has a path forward.
Each gate runs a Raspberry Pi-class edge node with a synced whitelist of every authorised tag, plate and face vector. When the cloud or internet drops, the gate decides locally and queues events to sync when connectivity returns.
A resident app (iOS + Android) for visitor passes and notifications. A guard app (Android tablet) for live gate decisions. An admin web portal for the RWA, facilities team or operator. All sharing one event log.
We come prepared with your site type, hardware compatibility and a real-world fallback simulation.