Abstract
This paper designs a hanging carrier platform based on visual perception technology. The main purpose of the platform is to automatically carry the load to a place like a ceiling and hang it. In this paper, binocular stereo vision technology is used to detect the position of the load’s mounting point. Based on the principle of the Zhang type calibration method, MATLAB software programming was used to complete the calibration of the binocular camera, and then in-depth study of the Surf stereo matching algorithm, which is an accelerated and improved version of the scale-invariant feature transformation algorithm (Sift). This article obtains positioning errors through visual perception, and realizes closed-loop control of the movement of the transfer platform based on visual servos; the intelligent transfer platform control unit developed based on the Internet of Things technology can not only achieve precise positioning and positioning between the suspended conveyor line and the transfer platform Material transfer can also have the information interaction function between the transfer platform and the AGV, which can eliminate the positioning error with the AGV and automatically transfer the material. Studies have shown that after readjusting the installation position of the CD camera, the sudden change of the center of the circle is reduced after the lifting table is raised to the secondary positioning point. The transfer cycle of less than 45 s can effectively meet the cycle requirements of the annual output of 240,000 vehicles on the automobile assembly line.
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Lei, Y., Li, X. (2021). Key Technologies of Automobile Assembly Intelligent Transfer Platform Based on Visual Perception. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_121
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DOI: https://doi.org/10.1007/978-3-030-62743-0_121
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