Limited manpower, unlimited junctions
Officers cannot be stationed at every signal. Most violations at unmanned junctions are never recorded.
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Download againUrban enforcement still depends on manual monitoring, reactive policing, and hours of video scrubbing after incidents. Most violations go undetected. Most footage is never reviewed. Cities need systems that see, understand, and act in real time.
Four gaps that manual monitoring and disconnected CCTV leave open across every junction.
Officers cannot be stationed at every signal. Most violations at unmanned junctions are never recorded.
Finding one vehicle in hundreds of hours of footage requires manual scrubbing. Evidence is often missed or too late.
Without AI, cameras are just recording devices. They capture footage but do not generate challans.
Each camera system operates independently. No unified picture of city-wide traffic patterns or safety hotspots.
Violations detected without officers. AI identifies helmet, seatbelt, speed, and lane violations automatically at every equipped junction.
Investigations in seconds. Search across all cameras using plain language: "blue sedan near central station at 3pm yesterday."
Automated e-challan pipeline. Detected violations flow directly to NIC for challan generation. No manual paperwork.
Real-time incident alerts. Accidents, congestion, and fire detected and pushed to control rooms instantly.
City-wide traffic intelligence. Continuous counting and classification data for urban planning, signal optimization, and congestion management.
One command centre for all cameras. Every junction, every camera, every violation on a single screen.
Recon Global Shutter camera captures vehicles, plates, and violations with zero motion blur.
ANPR, violation detection, and vehicle classification happen on-device. No cloud dependency.
Operators query footage in natural language instead of scrubbing manually.
All cameras, all junctions, one dashboard for the control room.
Validated violations pushed for automated e-challan issuance.
From junction camera to city-wide command centre in one connected pipeline.
Direct e-challan generation through National Informatics Centre
Independently certified for security assurance
Bureau of Indian Standards certified
Profile S, T, M, G supported for interoperability
Aligned with national highway monitoring standards for corridor deployments
Designed for urban surveillance and intelligent traffic management programmes
Designed, engineered, and manufactured in India
The system requires Recon Global Shutter cameras for AI-based detection. However, EdgeTrack can integrate feeds from existing cameras for monitoring purposes while Recon cameras handle the analytics.
Overspeeding, no helmet (rider + pillion), no seatbelt (driver + co-driver), triple riding, wrong direction, wrong lane, and non-standard plates.
Operators type a description in plain language, such as "red car near market junction at 4pm." The Vision Language Model searches across all connected cameras and returns matching results in seconds.
Each camera processes locally on the edge. Only metadata, evidence images, and alerts are transmitted to the server, keeping bandwidth requirements low. The system works with standard broadband or 4G connectivity.
Violations detected by the camera are reviewed by enforcement officers on the EdgeTrack dashboard. Approved violations are pushed to NIC for automated e-challan generation.
Yes. VIDS detects accidents, fire/smoke, fallen objects, stalled vehicles, wrong-direction driving, and poor visibility conditions. Alerts are pushed to the control room within seconds.
Yes. The system is STQC certified for security assurance, supports encrypted data transmission, and offers role-based access control on the dashboard.
Whether you are a municipal corporation, smart city SPV, or traffic police department, we will help you plan, deploy, and operate AI enforcement across your junctions.