An AOI-Based Surface Defect Detection Approach Applied to Woven Fabric Production Process

被引:0
|
作者
Hsu, Wei-Chun [1 ]
Chen, Hsing-Chung [2 ]
Uang, Kai-Ming [1 ]
Lin, Yong-Hong [3 ]
机构
[1] WuFeng Univ, Dept Elect Engn, 117,Sec 2,Chiankuo Rd, Minhsiung 62153, Chiayi, Taiwan
[2] Asia Univ, Comp Sci & Informat Engn, 500 Lioufeng Rd, Taichung 41354, Taiwan
[3] J&T Glory Internal Co Ltd, 50 Chengcung St, Minxiong Township 62153, Chiayi, Taiwan
来源
ADVANCES IN NETWORK-BASED INFORMATION SYSTEMS, NBIS-2022 | 2022年 / 526卷
关键词
D O I
10.1007/978-3-031-14314-4_22
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study mainly uses automatic optical inspection (AOI) technology in the production of woven bags. When it is found that there are holes or stains on the film cloth surface exceeding 3 mm x 3 mm, it can be detected in real-time and an alarm and flashing light can be issued so that the person can pay attention to the abnormal production at that time. Since the woven bag is transported under high-speed rollers during the production process, image capture is performed to test whether the image capture technology can be applied to the production of woven bags under the high-speed movement of the woven bag. The results show that the recognition effect is very good. The device can be used for real-time inspection in the production of woven bags. The technology can also improve the technical level of woven bag production equipment. It can improve the output of woven bags.
引用
收藏
页码:224 / 229
页数:6
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