Automated optical inspection for abnormal-shaped packages

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

Research output: Contribution to journalConference article


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.

Original languageEnglish
Article number453
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Issue number7
StatePublished - 13 Jan 2019
Event2019 Intelligent Robotics and Industrial Applications Using Computer Vision Conference, IRIACV 2019 - Burlingame, United States
Duration: 13 Jan 201917 Jan 2019

Fingerprint Dive into the research topics of 'Automated optical inspection for abnormal-shaped packages'. Together they form a unique fingerprint.

  • Cite this