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Building an ANPR Gate Pipeline: Triggers, Confidence and Events
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Building an ANPR Gate Pipeline: Triggers, Confidence and Events

DEV Community: computervisionΒ·Suraj InformaticsΒ·about 1 hour ago
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Automatic number plate recognition (ANPR) looks like a camera problem, but in production it is mostly a pipeline and integration problem. Here is how a typical industrial gate setup is structured, from the frame to the barrier.

The pipeline

Trigger – a loop detector, radar or motion zone signals a vehicle. Triggering avoids running recognition on every frame.

Capture – an IR-illuminated camera with a short exposure captures the plate. Motion blur kills accuracy faster than low resolution does.

Plate detection – a detector locates the plate region in the frame.

Character recognition – OCR reads characters and returns a string plus a confidence score per character or per plate.

Post-processing – format rules (state codes, Gulf region codes, Arabic and Latin layouts) correct common confusions like 0/O , 8/B , 1/I .

Decision – the plate is matched against whitelist, blacklist and booking tables.

Confidence thresholds matter

Don't treat a read as a boolean.…

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