A Multi-storey Garage Smart Parking System based on Image Processing

In this study, an image-processing based smart parking system was developed for multi-storey parking garages. Car drivers spend a considerably long amount of time finding an available parking space where slots are spread throughout multiple storeys which causes longer queues and traffic congestion. The proposed system design through the Python IDLE and the OpenCV library makes use of the combined edge detection and coordinate bound pixel sections in determining whether a parking space in the acquired footage is occupied or not. For the testing of the accuracy and reliability of the parking space identification system, sample footages of actual indoor parking garages were used. With this study, real time image processing and updating of the parking slot availability offers an increased efficiency to the parking system and lower cost than installing individual car sensors in each parking space.