Surface defect detection competition with a bio-inspired vision sensor

被引:0
|
作者
Anjing Guo [1 ]
Jupo Ma [2 ,3 ]
Renwei Dian [1 ]
Fuyan Ma [4 ,5 ]
Jinjian Wu [2 ,3 ]
Shutao Li [1 ,4 ]
机构
[1] School of Robotics, Hunan University
[2] School of Artificial Intelligence, Xidian University
[3] Pazhou Laboratory (Huangpu)
[4] College of Electrical and Information Engineering, Hunan University
[5] Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TP212 [发送器(变换器)、传感器]; TB497 [技术管理];
学科分类号
08 ; 080202 ;
摘要
INTRODUCTION Surface defects are inevitable during the product manufacturing process,such as impurities,scratches and dirt.D efects not only reduce the aesthetics and comfort of products,but may also degrade the functional performance.Manufacturers are very concerned about inadequate defect detection because of potential economic and reputation losses.Thus,it is significant to study automatic defect detection methods.Existing machine vision-based defect detection mostly adopts a traditional CCD or CMOS vision sensor (VS) for imaging.However,in real-world production lines,due to dynamic environments,traditional VS encounters difficulties in meeting the demands of defect detection,especially in modern high-precision product manufacturing.
引用
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页码:31 / 34
页数:4
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