The application of YOLOv7 in the detection and positioning of vehicles in the digital workshop

In recent years, the use of digital technology to transform the traditional workshop of the digital workshop has developed rapidly. It plays a very important role in improving production efficiency, optimizing resource utilization, reducing production costs and improving product quality. Real-time monitoring, positioning and tracking of vehicles in the workshop through digital technology plays a key role, and the traditional manual recording and handheld equipment tracking operations are cumbersome, and the cost of the timing positioning system is too expensive. Based on the above contents, this paper proposes a new monocular visual positioning method based on YOLOv7 further optimization according to coordinate transformation, which can use the model to obtain the coordinate information of the vehicle on the picture, and then obtain the actual position of the vehicle through coordinate conversion, so as to realize the monitoring, tracking and accurate positioning of the vehicle in the digital workshop.