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<div><p>Drum roller surface defect detection is of great research significance for control production quality. Aiming at solving the problems that the traditional light source visual imaging system, which does not clearly reflect defect features, the defect detection efficiency is low, a...

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Bibliographic Details
Main Author:	Guofeng Qin (11025170) (author)
Other Authors:	Qinkai Zou (20678485) (author), Mengyan Li (1858759) (author), Yi Deng (421971) (author), Peiwen Mi (20678488) (author), Yongjian Zhu (6562817) (author), Hao Liu (12832) (author)
Published:	2025
Subjects:	Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified model &# 8217 great research significance feature extraction ability experimental results show broader dataset diversity traditional light source achieve efficient detection using enhanced yolov8n defect detection efficiency main average accuracy industrial drum rollers improved yolov8n algorithm control production quality surface defect detection system light source production quality drum rollers structured light defect characteristics detection time detection accuracy rolling surface algorithm designed quality samples drum roller standard convolution replace ciou network pays loss function image acquisition fusion network certain improvement better ensure backbone network 2 %,
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