Traffic compliance and enforcement

Vehicle classification, helmet and PPE compliance, number-plate capture and hit-and-run detection for city command centres.

City intersection camera view with cars, bikes and pedestrians classified and boxed by the vision system

Enforcement at scale is a counting problem before it is a policing problem. Cities need to know what is moving, where it is stopping and where a violation just happened, at all hours and without adding staff to a control room.

VICAS™ classifies vehicles by type, flags helmet and safety violations, reads number plates and detects hit-and-run events, then pushes every incident to a live analytics dashboard that a command centre already knows how to read.

What it detects

Vehicle and auto classification

Cars, autos, bikes and pedestrians are each boxed and labelled with a live confidence score across every lane of an intersection.

No-helmet detection

Riders without a helmet are flagged in real time on two-wheelers, distinct from riders who are compliant.

Multi-lane vehicle detection

Every vehicle across a wide junction is tracked at once, holding classification through mixed traffic and partial occlusion.

Number-plate capture and hit-and-run

Number plates are read and logged automatically, and vehicles involved in a hit-and-run are identified and flagged for follow-up.

From live deployments

Intersection camera view with cars, an auto-rickshaw, a bike and a pedestrian each boxed and classified with confidence scores — Vehicle and pedestrian classification across every lane of an intersection

Intersection camera feed with a bike rider boxed and flagged no_helmet alongside other classified vehicles — No-helmet violation flagged on a two-wheeler in live traffic

Wide-angle intersection view with multiple autos, cars and bikes boxed and classified across the junction — Full-junction coverage across mixed vehicle traffic

Wide multi-lane junction with autos, bikes, a truck and cars moving through at once — Simultaneous classification of every vehicle on a busy street

Roadside camera view with a car's number plate boxed and read, and a rider without a helmet flagged nearby — Number-plate capture supporting hit-and-run identification

Impact on the operation

Stat figures are published industry benchmarks for AI-based visual inspection, not measured results from this specific line.

227

Helmet, lane and parking violations logged automatically over the reporting period, including 4 hit-and-run events

36.8%

Share of all occupational fatalities in 2023 that were transportation-related, the risk continuous enforcement targets

70%

Of cities are projected to have deployed smart, AI-based traffic management by 2030, per industry forecasts

98%+

Helmet and number-plate detection accuracy demonstrated by published computer-vision traffic enforcement research

Deployed elsewhere

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