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Stopped vehicle
Stalled vehicle on the carriageway or shoulder, flagged in five seconds.
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Download againEvery incident, seen in under two seconds
Monitors roads around the clock and alerts your team when something goes wrong: accidents, stalled vehicles, smoke, wrong-way driving, or hazards on the road. Built to help teams respond faster and prevent secondary incidents.
Each one is detected on the camera itself, so an alert still reaches the control room when the network does not.
Stalled vehicle on the carriageway or shoulder, flagged in five seconds.
Vehicle travelling against the flow on a divided highway.
Collision from sudden stops or abnormal positions, escalated immediately.
Debris or obstruction in a live lane, flagged before impact.
Vehicle fire or smoke on the corridor, detected visually.
Traffic far below corridor norm, the first sign of congestion.
People or livestock crossing a high-speed carriageway.
Obstruction, defocus or repositioning of the camera unit.
Detection runs on the unit itself. A dropped link delays reporting, it does not stop detection.
Every alert carries an evidence image and a short clip, so an operator can verify in one glance.
Zones are configured per camera, so a service road or field beyond the fence never triggers an alert.
Fog, heavy rain and low light are detected as conditions in their own right, not treated as failures.
VIDS is an AI-powered system that detects traffic incidents in real time using video analytics. It is built to NHAI's 2023 policy and designed to trigger immediate alerts to control rooms when dangerous situations occur on the road.
Fallen objects on the road, accidents, fire and smoke, poor visibility (fog, heavy rain), stalled vehicles, slow-moving vehicles, wrong-direction driving, pedestrian and animal crossings, and camera tampering.
Incidents are detected within seconds of occurring. Alerts with evidence images and video clips are pushed to the EdgeTrack dashboard, and optionally via SMS and email to control room operators.
Yes. All AI processing happens on the Local Processing Unit at the gantry site. Incidents are detected, logged, and stored locally. Data syncs to the central server when connectivity is available.
Each VIDS LPU supports up to 3 cameras, enabling multi-lane coverage from a single processing unit.
Yes. The AI model uses duration, location (lane vs shoulder), and movement patterns to distinguish between stalled vehicles requiring alerts and legitimately stopped vehicles on the shoulder.
Yes. Each detected incident produces both an evidence image (snapshot) and a short evidence video clip for detailed analysis. Both are logged with timestamp, location, and incident type.
Yes. VIDS is built to the NHAI 2023 VIDES circular, the 2021 circular, and the 2016 circular. It meets all functional and technical requirements specified for video-based incident detection on national highways.