Published Paper Details:

Parking management in big cities confronts significant challenges with the rise in vehicle populations amidst constrained parking capacities. This paper outlines the development and deployment of a Parking Management System leveraging image processing techniques. The Parking Management System aims to revolutionize parking space management by automating the detection of vacant and occupied parking spaces, thereby providing real-time parking data to both management units and end-users. It introduces an innovative integrated Parking Management System that employs real-time image processing. In concert with this, a user-friendly application crafted using MIT App Inventor allows users to view and reserve available parking spots. The hardware setup involves the installation of IP cameras above the parking lot, connected to a local network, along with an ATmega328 microcontroller facilitating communication with the processing unit. Software development utilizes Python, utilizing OpenCV for image processing and PySerial for serial communication. Additionally, the inclusion of the GSM module facilitates instant SMS notifications to users upon successful parking reservations, enhancing the user experience. This technology demonstrates a notable enhancement in parking efficiency, a decrease in the time spent searching for parking, and potential improvements in traffic flow. Preliminary outcomes reveal a high degree of accuracy in parking spot detection and user endorsement of the application's interface and reservation functionalities, offering a promising resolution to current parking management issues.