YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm

<p dir="ltr">Surface defects in Printed Circuit Boards (PCBs), which arise during manufacturing, significantly impact product quality and directly influence equipment performance, stability and reliability. Accurately identifying small defects on PCB surfaces remains a considerable c...

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Bibliographic Details
Main Author: Prabu Selvam (22330264) (author)
Other Authors: R. Rajasekar (719988) (author), C. Gunasundari (22928692) (author), S. Janu Priya (22928695) (author), M. Murugappan (18842221) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published: 2025
Subjects:
Engineering
Manufacturing engineering
Information and computing sciences
Computer vision and multimedia computation
Machine learning
Convolutional neural network
deep learning
defect detection
printed circuit boards
small defect detection
YOLOv11
Printed circuits
Feature extraction
Accuracy
Inspection
Standards
Neck
Transformers
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