Resistance Spot Welding Defect Detection Based on Visual Inspection: Improved Faster R-CNN Model

Resistance Spot Welding Defect Detection Based on Visual Inspection: Improved Faster R-CNN Model

This paper presents an enhanced Faster R-CNN model for detecting surface defects in resistance welding spots, improving both efficiency and accuracy for body-in-white quality monitoring. Key innovations include using high-confidence anchor boxes from the RPN network to locate welding spots, using th...

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Bibliographic Details
Main Authors: Weijie Liu, Jie Hu, Jin Qi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Machines
Subjects:
resistance spot welding
surface defect detection
deep learning model
faster R-CNN
small object detection
Online Access:https://www.mdpi.com/2075-1702/13/1/33
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