Thermocouple welding joint defects detection system based on computer vision

被引：0

作者：

Wang Runze ^{[1
]}

Zhou Yan ^{[1
]}

Xu Ke ^{[1
]}

Xu Xincheng ^{[1
]}

Li Qiong ^{[1
]}

Du Chunlin ^{[1
]}

机构：

[1] Beijing Inst Spacecraft Environm Engn, Beijing 100094, Peoples R China

来源：

2019 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING/SPECTROSCOPY AND SIGNAL PROCESSING TECHNOLOGY | 2020年 / 11438卷

关键词：

Open CV; Thermocouple welding joint defects; Computer vision;

D O I：

10.1117/12.2543562

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

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.

引用

页数：7