IndustriesLicense Plate Recognition System using ALPR
Security checkpoints, toll plazas, and parking facilities needed a reliable way to automatically identify vehicles and control access. Standard CCTV cameras couldn't keep up, motion blur and low frame rates caused missed or misread plates on fast-moving vehicles. Manual verification was slow, inconsistent, and unable to handle high-traffic entry points effectively.
We built an ALPR system using a 600fps high-speed camera sensor that captures sharp, blur-free plate images even from fast-moving vehicles. An embedded OCR engine performs on-device license plate recognition, no cloud required with support for multiple plate formats. Every recognized plate is instantly checked against a whitelist or blacklist vehicle database, triggering relay outputs to open or block access gates and barriers automatically. Recognition events are pushed to a central management platform over Ethernet, and a web dashboard provides full recognition logs, vehicle history, and alert management.
600fps capture eliminates motion blur, making plate recognition accurate even at high vehicle speeds. On-device OCR processes everything locally, no cloud, no latency and instantly matches each plate against a whitelist or blacklist to trigger gate and barrier control via relay output. The system connects to existing access control infrastructure and pushes all recognition events to a central dashboard for logging and alert management. A 72-hour live pilot validated recognition accuracy, false positive rate, and gate response time before full deployment.
600 fps
High-speed capture eliminates motion blur plates are read accurately regardless of vehicle speed or lane conditions.
On-Device
Full OCR inference and database matching runs locally no cloud dependency, no network latency at the checkpoint.
Auto Access
Whitelist and blacklist matching triggers gate and barrier control instantly, removing manual verification from the process entirely.
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