Parking Slot Detection Using Yolov8

Parking management in urban areas has become a critical issue, with various challenges like different dimensions of parking slots, varying lighting conditions, occlusion and obstacles on necessitating innovative solutions to optimize the utilization of limited parking space. This paper presents an advanced approach to address these challenges by implementing a parking slot detection system using You Only Look Once version 8 (YOLOv8), a state-of-the-art object detection algorithm. The proposed system takes input video clips and generates an output video with available parking slots highlighted in green and occupied slots in red, enabling real-time parking space monitoring. In the realm of parking management, our solution capitalizes on YOLOv8's exceptional capabilities, providing a robust and efficient means of identifying parking slot occupancy when compared to previous models. Our experimental results demonstrate that the utilization of YOLOv8 significantly enhances the accuracy and speed of the detection process, contributing to more effective parking space management in urban environments.