Research on Hand-Eye Calibration Method Based on Monocular Vision and Accuracy Chain Analysis

Machine vision has numerous uses and is currently at the forefront of research in this field. In this paper, for monocular vision systems, we mainly compare the monocular camera hand-eye calibration results and errors of two vision software platforms, and analyze the possible causes of errors to provide an idea for obtaining accurate hand-eye calibration results. And this paper derives the accuracy chain of hand-eye calibration from the whole process of hand-eye calibration, and analyzes the causes of errors in the hand-eye calibration results from each link in the accuracy chain. The results show that the accuracy of the hand-eye calibration results of Halcon software platform is higher than that of OpenCV calibration results, and the error from the robot arm can be reduced by using the relative coordinate system of the robot arm considering the direction of the hand-eye calibration accuracy chain analysis.