Automated Car Parking Using Advanced Image Recognition and License Validation

This study presents a novel approach in the form of a fully automated car parking management system, integrating IoT, computer vision, and database technologies to alleviate urban mobility challenges. Employing vehicle presence sensors and computer vision techniques for Bengali number-plate detection, the system enables real-time monitoring and management of parking spaces. Upon vehicle detection, the system cross-checks the license plate against a centralized database to confirm parking eligibility. Additionally, the integration of a mobile app and website interface provides drivers with instant updates on parking slot availability. This dual-layered IoT system not only restricts unauthorized access, minimizing illegal parking but also significantly reduces the time spent searching for parking, enhancing user experience. Consequently, this innovative solution contributes to reduced traffic congestion, fostering seamless urban mobility. By amalgamating automation, user-centric design, and efficient management, this system promises a transformative parking experience for both drivers and facility operators, revolutionizing urban parking paradigms.