An Intelligent Parking Lot Management System Based on Real-Time License Plate Recognition

Abstract

This research study proposes an Intelligent Parking Lot Management System (IPLMS) utilizing real-time license plate recognition technology to address parking management challenges arising from rapid urbanization and increased vehicle ownership. The system enhances the four-stage license plate recognition process (preprocessing, positioning, character segmentation, and character recognition) with variable precision recognition, recognition result voting, and idle/active mode switching to reduce resource consumption without compromising accuracy. Employing a technology stack featuring Vue.js, Java, Python, OpenCV, YOLO, and PaddleOCR, the IPLMS demonstrates accurate and reliable performance. Despite diverse parking conditions in the Philippines and various government-issued license plates, the system offers scalable, adaptable, and user-friendly solutions for multiple sectors and environments.