Automated optical inspection for abnormal-shaped packages

Wei Yu Lin, Chen Tao Hsu, Chi Chun Chang, Jen Hui Chuang

研究成果: Conference article同行評審

摘要

In this paper, we develop an automated optical inspection method to detect yarn packages' defect. Although textile industry is regarded as a traditional industry, many new technologies, e.g., computer vision detection algorithms, are applied to this industry in recent years. Yarn packages are the semi-finished good of textile industry. Various factors may cause abnormal-shaped packages. In this study, we develop three defect detection algorithms to extract abnormal-shape packages. These algorithms can help manufacturer to avoid the disadvantages of human inspection effectively and improve the productive quality.

原文English
文章編號453
期刊IS and T International Symposium on Electronic Imaging Science and Technology
2019
發行號7
DOIs
出版狀態Published - 13 1月 2019
事件2019 Intelligent Robotics and Industrial Applications Using Computer Vision Conference, IRIACV 2019 - Burlingame, United States
持續時間: 13 1月 201917 1月 2019

指紋

深入研究「Automated optical inspection for abnormal-shaped packages」主題。共同形成了獨特的指紋。

引用此