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Traffic

Traffic Violation

Using VLM semantic detection, existing intersection and corridor CCTV is upgraded into a 24x7 proactive traffic-violation sensing system. A single 4K camera reads the scene in three layers (visible road elements x vehicle/pedestrian features x temporal trajectory) and simultaneously detects speed and motion anomalies, lane violations (wrong-way, crossing double white lines, occupying dedicated lanes, turning from the wrong lane) and parking violations (within 10 m of an intersection, on or before crosswalks). Deep inference runs only when an event is triggered. The traffic bureau gains violation hotspots, links detections to traffic control and CMS messaging, and hands event evidence to enforcement units. The focus is broad detection and deterrence, not fixed-point ticketing.

VLM output

An overhead camera watches a wide, nearly empty multi-lane road divided by a double solid center line. A single silver sedan enters from the lower right, drives diagonally across the lanes and over the solid median line, and ends up traveling in the opposite carriageway heading the other way, completing a U-turn across the divider.

  • Violation DetectedYes
  • Violation TypeIllegal U-Turn
  • Solid Line CrossingYes
  • Crossed Lanes DiagonallyYes
  • Vehicles Involved1
  • Vehicle TypeSedan
  • Other Traffic PresentNo
  • Pedestrians PresentNo
  • Traffic DensityVery Light

Customer challenges

1

One dedicated model per violation type; a scene with several violations is not read as a whole

2

Legacy AI matches objects; it cannot reason across signal state, markings, trajectory and time

3

Existing intersection footage is recorded but never analysed for violations

4

Adding a new violation type means retraining and re-deploying, 12–18 months

5

No violation pattern or hotspot analysis to guide engineering and campaigns

Customer benefits

5–6x coverage on the same budget; drivers see enforcement everywhere, deterrence spreads from points to the whole network

One camera, many functions, central inference: hardware is roughly 1/N of legacy systems and total cost of ownership drops sharply

New violation types go live in 2–4 weeks instead of a 12–18-month procurement cycle

Equipment can be rotated to high-crash intersections; the total count stays fixed while always pointing at hotspots

The traffic bureau gets city-wide violation pattern and hotspot data for the first time, grounding engineering and campaigns

Performance measured by crash prevention (A1 and A30 reductions) rather than ticket counts, in line with road-safety policy

Key features

Lane Compliance

Detects lane compliance violations.

Parking Violations

Detects vehicles parked in violation.

Speed & Motion Monitoring

Monitors vehicle speed and movement.

Before & after

Before Each camera analysed for 0–1 violation types After — with Linker AI Nexa 6–8 violation types per camera, detection scope per unit 6–8x
Before Violations reviewed only when a complaint is filed After — with Linker AI Nexa 100% of in-view violations logged with GPS-synced timestamp and plate
Before A new violation type takes 12–18 months to deploy After — with Linker AI Nexa 2–4 weeks city-wide, deployment lead time -95%
Before About US$1,500 per monitored point per month After — with Linker AI Nexa About US$250 per monitored point per month, unit cost -83%
Before Full-frame inference on every camera After — with Linker AI Nexa Deep inference on 5–10% of frames, compute demand -90%
Before Violation data limited to ticket counts After — with Linker AI Nexa 100% of events geo- and time-stamped for hotspot analysis, refreshed daily