CCTV AI
Lorry Tracking System
Plate detection, registered vehicles, and device snapshots.
Empty dates = all images. Range max 31 days (MYT UTC+8). Use Hide bursts to collapse rapid captures.
Pick a device to load images.
Loading detections…
| Plate Number | Status | Total Detection | First Seen | Last Seen | Site | Camera | Axles | Details |
|---|
Loading registered plates…
| Plate Number | Company | Vehicle Type | Driver Name | Status | Created Date | Action |
|---|
Most captured lorries
Ranked by capture count from stored images.
Loading top lorries…
Image ↔ database pipeline
Compares stored JPEG plate files with MariaDB vehicle_detection ingest.
What is this for?
This is a technical check, not a lorry traffic report.
It compares two places: plate JPEG files on the server folder, and rows in the dashboard database (vehicle_detection).
If cameras still save images but the database stops updating (similar to the SLT_2 case in the TIR report), you will see a mismatch here.
It does not replace the external 116k ANPR export — only image folder ↔ dashboard DB.
Looks OK
- Disk images and DB rows are close in count.
- Last image time and last DB time are similar.
- Flags column is empty (—).
Needs attention
- Images w/o DB > 0 — ingest may be stuck.
- DB w/o file > 0 — records point to deleted images.
- Stale capture — no new images for several hours.
For vehicle counts and charts, use Plate Detection, Top Lorries, or Analytics.
Management analytics
Exploratory KPIs for operations and TIR governance (not official traffic counts).