We reuse our CCTV and ANPR stack to build Intelligent Transport Systems: count and classify vehicles, estimate speed, detect violations, and read license plates for enforcement and tolling - delivered as live dashboards and API feeds for traffic authorities and smart-city operators.
Vehicles are detected, classified and counted as they cross the line on real road cameras.
Urban multi-lane road (overhead) — Task: Vehicle counting & classification; lane-change monitoring
Watching…
Real footage, counted from precomputed tracking. Production counts and classifies RTSP cameras with YOLO tracking and per-lane speed estimation.
Count cars, motorbikes, trucks and buses per lane and direction with YOLO tracking and line-crossing logic.
Camera-based speed measurement using calibrated zones - no radar hardware required.
Detect speeding, red-light running, wrong-way and wrong-lane driving, and helmet violations.
Read Vietnamese plates on violation events to generate evidence packages for enforcement and tolling.
Occupancy, queue length and travel-time metrics to spot congestion and time signals better.
Live map, per-camera KPIs, violation review and open APIs to integrate with city control centers.
RTSP / ONVIF
YOLO + ByteTrack
Zones / Lines
Plate OCR
Web / API
Monitor key intersections and corridors for volume, speed and violations, feeding data to adaptive signal control.
Detect speeding vehicles, capture plates, and generate timestamped evidence packages for automated enforcement.
Identify vehicles for free-flow tolling and manage parking occupancy with plate-based entry and billing.
Camera-based vehicle counting, classification, speed estimation and violation detection for intelligent transport systems
Vietnamese license plate recognition for warehouse gates: automatic vehicle identification, barrier control, and logistics system integration
Our own multi-tenant video management platform: central AI processing, camera scheduling with failover, live view, playback and multi-channel alerting