Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model

Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model

Abstract Assessing metallic components for surface imperfections is essential for ensuring product quality, enhancing manufacturing efficiency, and reducing expenses. Detecting minor surface imperfections is essential for guaranteeing the reliability and safety of metal components in operation. The...

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Bibliographic Details
Main Authors: Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Faeiz M. Alserhani, Piyush Kumar Shukla, J. Shreyas
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Big Data
Subjects:
Hybrid Extraction of Features Algorithm (HEFA)
Spatial Pyramid Pooling (SPP)
Convolutional Block-Attention Mechanism (CBAM)
Soft Intersection over Union (SIoU)
Surface defect detection
You Only Look Once v6 (YOLOv6)
Online Access:https://doi.org/10.1186/s40537-025-01226-2
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https://doi.org/10.1186/s40537-025-01226-2

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