OpenALPR is a computer vision platform designed to identify vehicle license plates and attributes from live video streams or static images. It functions as an intelligent access control and analytics system, enabling the automation of security monitoring, parking facility management, and operational workflows through real-time vehicle detection.
The platform distinguishes itself by supporting international license plate formats and regional configuration mapping, allowing for deployment across diverse geographic standards. It integrates directly with existing network camera infrastructure, performing continuous frame processing and object detection without requiring specialized hardware. The system utilizes a multi-stage pipeline that combines cascade-based object detection, character segmentation, and deep learning inference to extract structured data from visual inputs.
Beyond core recognition, the software provides a comprehensive suite of tools for operational management, including database persistence for historical record searching, security hotlist monitoring, and automated hardware triggering. It facilitates external system connectivity through web endpoints, event-driven webhooks, and standardized data synchronization, enabling integration with point-of-sale, payment processing, and business intelligence platforms.
