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Thermocouple welding joint defects detection system based on computer vision

机译:基于计算机视觉的热电偶焊接接头缺陷检测系统

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摘要

Due to the uncertainties of manual operation, it is difficult to ensure that each joint is available for the welded joint of thethermocouple wire. The size of the thermocouple connector is also small, and it is difficult to distinguish the defect of theconnector only by the human eye.This paper proposes a method of computer vision, using the camera to automatically identify defects in the thermocoupleconnector. Use the Candy edge detection algorithm to find the region of interest, and calculate the parameters such as thediameter of the welding joint through functions such as HoughCircles transform algorithm. Finally, the defects of thewelding joint are determined according to such parameters.In this paper, the thermocouple welding joint defect detection algorithm is used to realize the automatic detection ofthermocouple welding joint defect. It improves the quality of thermocouple welding joint, and the efficiency of the testpersonnel is also improved.
机译:由于手动操作的不确定性,很难确保每个接头都可用于焊缝的焊接接头。 热电偶线。热电偶连接器的尺寸也很小,并且很难分辨出热电偶连接器的缺陷。 连接器只能由人眼看到。 本文提出了一种计算机视觉方法,利用相机自动识别热电偶中的缺陷。 连接器。使用Candy边缘检测算法找到感兴趣的区域,并计算参数,例如 通过诸如HoughCircles变换算法之类的函数来获得焊接接头的直径。最后,缺陷 焊接接头就是根据这样的参数确定的。 本文采用热电偶焊接接头缺陷检测算法来实现对焊缝缺陷的自动检测。 热电偶焊接接头缺陷。它提高了热电偶焊接接头的质量,并提高了测试效率 人员也得到了改善。

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