Research on improved Yolov5 license plate location technology

License plate location is one of the key technologies of license plate recognition. The location and detection of license plate is greatly affected by driving direction, weather anomaly, lighting and other factors, and often has license plate tilt, occlusion and other situations. Photos taken in these complex scenes will have adverse effects on the location detection of key information in the image. Aiming at the above problems, this paper proposes an improved license plate location technology of Yolov5. This method adds DAFS dynamic anchor frame to the backbone network of Yolov5 to effectively and quickly detect the license plate position. Compared with other methods in complex scenes, the experimental results show that the positioning and detection accuracy of the proposed method is improved by 1.08%.