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Short Survey of Artificial Intelligent Technologies for Defect Detection in Manufacturing

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Auteur
Papageorgiou E.I., Theodosiou T., Margetis G., Dimitriou N., Charalampous P., Tzovaras D., Samakovlis I.
Date
2021
Language
en
DOI
10.1109/IISA52424.2021.9555499
Sujet
Artificial intelligence
Defects
Internet of things
Manufacture
% reductions
Artificial intelligence technologies
Artificial intelligent
Defect detection
Intelligent technology
Manufacturing IS
Production line
Quality assessment
Zero defect manufacturing
Zero defects
Computer vision
Institute of Electrical and Electronics Engineers Inc.
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Résumé
Zero Defect Manufacturing (ZDM) can be described as the set of methodologies and strategies for the elimination of defective components during production, and is one of the main goals of Industry 4.0. ZDM is very appealing to industries grace to the reduction of operational costs associated with defective components. Efficient defect detection in modern production lines may benefit from Artificial Intelligence (AI) technologies in numerous stages of the manufacturing process. This paper presents a short review of AI technologies employed during product inspection and quality assessment. Indicative applications are reported to demonstrate that AI in its many flavors may be efficiently integrated into production environments and pave the way towards ZDM. © 2021 IEEE.
URI
http://hdl.handle.net/11615/77667
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19743]

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