Intelligent System for Monitoring Compliance with Vehicle Parking Regulations

This study is dedicated to the development of an intelligent system for monitoring compliance with parking regulations using neural networks. The objective has been achieved through the synthesis of mathematical models of the technological process of intelligent parking monitoring, taking into account the technological aspects of vehicle detection with the YOLO model, as well as license plate localization and recognition. Based on this, a generalized model of the intelligent monitoring system and its architecture have been proposed. The results of experimental testing on real video recordings are presented, confirming the system’s suitability for operation under varying lighting conditions, different viewing angles, and video quality. The chosen data collection strategy ‘one frame per minute’ ensures a balance between monitoring accuracy and computational efficiency, making the system scalable and effective for integration into intelligent parking management systems.