Analysis and Research of A Defect Detection System Based on Machine Vision for Solder Joints

It is difficult to detect defects of welded joints with human eyes, as they are prone to fatigue over long working hours and the lack of human eye recognition. For the detection of defects, a system is designed on the surface of specific welded joints. In this system, the best combination of camera,...

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Bibliographic Details
Published in2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) pp. 184 - 187
Main Authors Huang, Liang, Pan, Shenghui
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.10.2022
Subjects
defect detection
HALCON
Hardware
Inspection
Machine vision
Product design
Production
Software
Solder joints
Visualization
Welding
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Summary:It is difficult to detect defects of welded joints with human eyes, as they are prone to fatigue over long working hours and the lack of human eye recognition. For the detection of defects, a system is designed on the surface of specific welded joints. In this system, the best combination of camera, lens1, and a light source is selected, taking into account the image effect and the actual cost. Secondly, interactive control software is designed to link with the hardware. Finally, detection algorithms are established. With the combination of the hardware acquiring the image, the interactive control software, and the detection algorithm, the surface defects of this welded joint are detected. The experimental results show that the designed system for detecting surface defects on a specific.
DOI:10.1109/ECICE55674.2022.10042936