Vehicle Number Plate Detection and Recognition Using YOLOv7

This chapter delves into the advancements in vehicle number plate detection using YOLOv7, a cutting-edge deep learning model. It highlights the importance of accurate and real-time license plate recognition in smart cities and intelligent transportation systems. The text compares YOLOv7 with other models, showcasing its superior performance in terms of speed and accuracy. It also discusses the challenges faced in license plate recognition, such as varying lighting conditions and complex backgrounds, and how YOLOv7 addresses these issues. The chapter concludes with a detailed analysis of the model's performance, including its high mean average precision (mAP) and the impact of confidence thresholds on detection accuracy. The results demonstrate YOLOv7's potential to enhance real-time surveillance, toll collection, and law enforcement.