A Deep Learning-based General Defect Detection Framework for Automated Optical Inspection

Chia Yu Lin, Yan Hung Chou, Yun Chiao Cheng

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Artificial intelligence (AI) is applied in automated optical inspection (AOI) to help inspect defects and reduce the false discovery rate of AOI in manufacturing industries. In current studies, the training data of AI models are sufficient, and the source data are from the specific production line. However, defect samples are insufficient, and the data source is variant. The current models need more generalization to all machines and take a long training time to build a new model for other appliances. This paper proposes a Deep Learning-based General Defect Detection Framework (DL-GDD) solves the insufficient data issue and the generalization issue of models. We implement a color preprocessing module, a data augmentation module, a data generation module, and four classification models to detect defects and generalize the utilization of DLG-DD. In experiments, we evaluate DLG-DD based on the NEU-CLS and AIdea datasets. The accuracy of DLG-DD is 90%, and the false omission rate and false discovery rate are less than 1%. DLG-DD is a general framework that tackles insufficient data and decreases the false discovery rate of AOI.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面332-337
頁數6
ISBN(電子)9798350313635
DOIs
出版狀態已出版 - 2023
事件2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023 - Hybrid, Bali, Indonesia
持續時間: 13 7月 202315 7月 2023

出版系列

名字Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023

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???event.eventtypes.event.conference???2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023
國家/地區Indonesia
城市Hybrid, Bali
期間13/07/2315/07/23

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