Prototype of a parking system with path recommendation

With the growth of population and vehicles, parking is a significant problem people face in modern life, especially in developed countries. It is often time-consuming and inconvenient for the driver to find a parking space in the parking lot, especially during rush hour. Therefore, this paper suggested a parking prototype that uses the YOLOv5s algorithm to detect vehicles and empty slots, and the Deep SORT algorithm will track the detected cars in moving frames. In addition, this prototype may use the BFS algorithm to recommend the path to the nearest available parking space for a user through a developed user interface. Our experimental results with different video situations showed that the proposed prototype achieved 0.906 mAP for average accuracy and an operating speed of 18 FPS for ten vehicles using Nvidia GTX 1080 GPU in the demo application.