Phone and seat‑belt violation detection
Computer vision that flags phone use and unbuckled belts from roadside cameras, in production across Saudi Arabia since 2018.
- Client
- Tahakom
- Sector
- Road safety / traffic enforcement
- Country
- Saudi Arabia
- Period
- 2018–present
- Status
- In production, nationwide
How the system fits together
A computer-vision pipeline that analyses roadside camera frames, detects drivers using a handheld phone or driving without a seat belt, and hands evidence packages to the enforcement workflow with an auditable confidence trail.
The problem
Distracted driving and unbuckled belts are two of the most common contributors to road fatalities, and neither can be enforced at scale by officers alone. Tahakom needed detection that was accurate enough to stand up to review, and robust to glare, night conditions, tinted glass and vehicle variety.
What we built
We trained and hardened detection models on regional data, built the ingestion and tracking pipeline that turns raw frames into evidence packages, and delivered a review console so human operators confirm each case. Everything runs inside the client's own infrastructure.
How it is run
The system is monitored around the clock, models are re-evaluated against fresh samples on a fixed cadence, and every detection carries the frame, model version and confidence that produced it.
Details shared under NDA on request.
- Nationwide
- production deployment
- 24/7
- continuous inference
- Auditable
- every decision traceable to a frame
Scope
- Detection models for phone use and seat-belt state
- Frame ingestion, tracking and evidence assembly
- Human-review tooling and audit trail
- On-premise deployment and monitoring