This study presents the development of a computer vision–based smart parking management system designed to detect vehicles and support automated tariff calculation. The system integrates a camera, an object detection model, and a web-based dashboard to process visual data, record parking events, display system status, and provide information for monitoring. Development is organized into two stages: camera integration, image acquisition, and object detection; followed by dashboard development, data management, and integration with the vision-processing module. The prototype will be developed and tested in a Windows environment. Its performance will be evaluated in terms of detection accuracy, processing speed, system stability, and the reliability of dashboard information. The project aims to demonstrate how computer vision can support real-time parking monitoring and automated tariff calculation through a modular system that can be extended to meet different operational requirements.
Keywords
smart parking, computer vision, object detection, automated tariff calculation, real-time monitoring, web-based dashboard