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Proceedings Paper

Thermocouple welding joint defects detection system based on computer vision
Author(s): Runze Wang; Yan Zhou; Ke Xu; Xincheng Xu; Qiong Li; Chunlin Du
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Paper Abstract

Due to the uncertainties of manual operation, it is difficult to ensure that each joint is available for the welded joint of the thermocouple wire. The size of the thermocouple connector is also small, and it is difficult to distinguish the defect of the connector only by the human eye. This paper proposes a method of computer vision, using the camera to automatically identify defects in the thermocouple connector. Use the Candy edge detection algorithm to find the region of interest, and calculate the parameters such as the diameter of the welding joint through functions such as HoughCircles transform algorithm. Finally, the defects of the welding joint are determined according to such parameters. In this paper, the thermocouple welding joint defect detection algorithm is used to realize the automatic detection of thermocouple welding joint defect. It improves the quality of thermocouple welding joint, and the efficiency of the test personnel is also improved.

Paper Details

Date Published: 12 March 2020
PDF: 7 pages
Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380K (12 March 2020); doi: 10.1117/12.2543562
Show Author Affiliations
Runze Wang, Beijing Institute of Spacecraft Environment Engineering (China)
Yan Zhou, Beijing Institute of Spacecraft Environment Engineering (China)
Ke Xu, Beijing Institute of Spacecraft Environment Engineering (China)
Xincheng Xu, Beijing Institute of Spacecraft Environment Engineering (China)
Qiong Li, Beijing Institute of Spacecraft Environment Engineering (China)
Chunlin Du, Beijing Institute of Spacecraft Environment Engineering (China)


Published in SPIE Proceedings Vol. 11438:
2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten, Editor(s)

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