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In order to solve the problems of material processing accuracy reduction caused by lateral and longitudinal migration during the operation of the feeding belt, a conveyor migration detection system based on the improved Hough straight line detection algorithm was designed. A FPGA chip is used as the processing unit to filter, edge detection, binarization and other image preprocessing of the actual conveyor belt image taken by the CMOS image sensor in this system. The pre-processed image information is transmitted to the upper computer using the Ethernet transmission method, and the Hough line detection algorithm is processed in the upper computer to obtain the offset state of the conveyor belt. Through experiments, the system can detect in real time tilt offsets with an inclination angle greater than 0.245 degrees and offsets of 8 pixels in the lateral direction.