Paper
14 November 2023 Research on target localization method based on binocular vision technology
Yaqing Zheng, Yangqi Han, Yuancheng You, Jinjing Guo
Author Affiliations +
Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 1293409 (2023) https://doi.org/10.1117/12.3007964
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China
Abstract
With the development of machine vision technology, using machine vision for target localization and measurement is currently a hot research topic to ensure precise positioning of industrial robots. This paper analyzes the composition of industrial robot systems based on binocular vision technology, designs algorithms for target localization, and trains target images using VisionPro software. Multiple measurement experiments are then conducted using the measurement system to determine the repeatability of the target localization accuracy. Experimental data demonstrates that the repeatability accuracy error of this localization method is within 3um, indicating its simplicity and measurement stability.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yaqing Zheng, Yangqi Han, Yuancheng You, and Jinjing Guo "Research on target localization method based on binocular vision technology", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 1293409 (14 November 2023); https://doi.org/10.1117/12.3007964
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KEYWORDS
Detection and tracking algorithms

Binocular vision

Edge detection

Image processing

Machine vision

Target detection

Target recognition

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