Computer vision reads the video stream and turns it into events a person can act on: which vehicle passed, whether the belts were fastened, what the plate was. Instead of hours of footage the operator gets a list of facts with snapshots.
Automatic plate capture on the stream, day and night, in motion and in dense traffic. The plate is normalised into a single format, so search works even when the reading is not perfect.
Detects separately whether the driver and the front passenger are belted. It works through the windshield and stays robust to glare on the glass.
Colour of the vehicle body — a search attribute that works even when the plate is unreadable: dirty, obscured or out of frame.
The make of the vehicle from the image. Together with colour and plate it gives a description precise enough to find a specific car in the archive.
The chain is the same for every module: a frame arrives, the detector finds the vehicle, the recognisers read the details, and the result becomes an event with a snapshot.
A web interface is part of the delivery — it opens in a browser and needs nothing installed on the workstation.
Events are not locked inside the analytics. They go to BrainWhale VMS next to the live video and the archive, or into your existing Milestone XProtect — the modules install there as a plugin.
Video surveillance system →We connect a module to your camera and show plate and seatbelt recognition in real time.