Application of Binocular Vision Algorithm Based on Measurement and Control Technology in Robot Measurement and Positioning

Due to the efficient application of computer vision technology in automation industry, the research on robot measurement and positioning combined with binocular vision algorithms and visual guidance systems has become more advanced and complex. This paper uses binocular vision information to construct spatial three-dimensional coordinates, and then issues execution commands to the robot, so that the geometric modeling of binocular stereo vision can meet the requirements of accurate measurement and positioning of test targets. The target matching algorithm for binocular stereo vision is analyzed and the most suitable block matching algorithm for machine perfusion is determined. It belongs to the local matching algorithm and has a calculation speed of 93 ms. The parameters and spatial coordinate positioning measurement results of the left and right cameras were tested, and the results demonstrated that the pixel focal lengths of the left camera were 8.10172 mm and 8.10407 mm, respectively. The pixel focal lengths of the right camera were 8.10140 mm and 8.10365 mm. The maximum projection error of the left and right cameras was 0.075 pixels. The maximum and average error results of the 29 honeycomb structural components tested subsequently were 1.16 mm, 0.63 mm, and 1.83 mm, 0.81 mm on the horizontal and vertical axes, respectively. The maximum error value in rotation angle was 3.56°, and the average value was 1.37°. The final results indicated that the error remained within approximately 2 mm and 4°. The experimental data demonstrate that the algorithm system has precise requirements for robot measurement and positioning, and provides a theoretical basis and technical reference for robot measurement and positioning. © 2024 Slovene Society Informatika. All rights reserved.