Development and application of weld seam detection robot weld recognition technology based on machine vision

Yuanlong Zhu; Wenzhi Zhang

doi:10.1117/12.3055455

12 December 2024 Development and application of weld seam detection robot weld recognition technology based on machine vision

Yuanlong Zhu, Wenzhi Zhang

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 1343930 (2024) https://doi.org/10.1117/12.3055455
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

In modern industry, construction industry, military industry and other fields, there are large containers or complex crossing pipelines, the weld at the junction will be defective due to improper operation during welding, or the corrosion of the weld in the working environment for a long time. Therefore, the detection of weld defects is crucial. Traditional manual detection is not only time-consuming and laborious, but also easy to bring harm to workers' health. With the rise of machine vision technology and image processing technology , robot instead of manual welding seam inspection has been applied in many occasions. On the one hand, the wall-climbing robot with welding seam recognition ability has high recognition accuracy, and it is not easy to miss detection. On the other hand, compared with manual detection, the welding seam detection robot has low cost and high efficiency. Therefore, this kind of wall-climbing robot with the ability of weld detection and recognition has been widely recognized.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuanlong Zhu and Wenzhi Zhang "Development and application of weld seam detection robot weld recognition technology based on machine vision", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 1343930 (12 December 2024); https://doi.org/10.1117/12.3055455

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