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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Prabu Selvam (22330264) (author)
مؤلفون آخرون:	R. Rajasekar (719988) (author), C. Gunasundari (22928692) (author), S. Janu Priya (22928695) (author), M. Murugappan (18842221) (author), Muhammad E. H. Chowdhury (14150526) (author)
منشور في:	2025
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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

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