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Camera calibration technology is one of the key techniques of structured light 3D vision measurement. The precision of camera calibration of structured light measurement system has great influence on the accuracy of 3D measurement. The camera calibration method of the three-line structured light system diagram is analyzed, and the geometric model and calibration principle of the industrial camera are introduced. Secondly, the Harris corner detection method is used to extract the feature point coordinates, and BP neural network is used to correct The calibration model of the camera is calibrated by Zhang Zhengyou's plane calibration method, and the experimental results show that this method has certain accuracy and validity, and it can improve the precision and effect of the calibration algorithm. In a certain error range, the calibration of the camera based on neural network distortion correction can effectively improve the accuracy of visual inspection.