Real-time detection system for automobile car seat based on vision

Most car seat detection method is artificial, which has low efficiency. To solve this problem, proposed a real-time detection system based on vision in this paper. Firstly, give the total block diagram of the system. Secondly, give the camera calibration method. Third, use significant value to detect the springs and use the Hough transform to detect the side curtain. Calculate the intersections between springs and the side curtain. If the intersections are 8, the car seat is qualified.