Research on Intelligent Automatic Assembly Pipeline Detection System Based on FPGA Video Image Technology

This paper proposes the design of video image hardware structure processing based on FPGA. This improves the processing speed and real-time performance of the intelligent automatic assembly pipeline inspection system. The system uses background difference method to detect moving targets. The static scene in the image is eliminated by binarization method. Morphological filtering is then done to eliminate voids and noise points. Finally, the target center point is extracted. Adopt modular design and pipeline processing mode. The high-speed parallel processing of FPGA and large capacity of DDR2SDRAM are fully utilized. A standard equipment for epitope error consistency and a fault simulator are designed. The control software for the test system is developed. The analysis model of calibration data is established. The measurement uncertainty analysis process of test results is given based on GUM algorithm. Practice test results show that the system can effectively detect moving objects.