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Towards a 3D Scanning/VR-based Product Inspection Station
Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.
Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.
Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.ORCID iD: 0000-0002-9315-9920
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2020 (English)In: Proceedings: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, p. 1263-1266Conference paper, Published paper (Refereed)
Abstract [en]

Quality control of products plays an important role in various stages of the manufacturing process. In particular the final control of the quality of a product before being shipped to a customer is crucial for maintaining customer satisfaction and avoiding costly recalls. Automating quality inspection and integrating it into a seamless Industry 4.0 setting is therefore an important topic in factory automation.We present early work towards an automated product inspection station. Our inspection station features a 3D scanner as well as a Virtual Reality headset for remote human inspection. In addition, our concept provides for automated analysis of scans in the cloud. We present an architectural concept as well as an early prototype.

Place, publisher, year, edition, pages
IEEE, 2020. p. 1263-1266
Series
International Conference on Emerging Technologies and Factory Automation (ETFA), ISSN 1946-0740, E-ISSN 1946-0759
Keywords [en]
industry 4.0, automation, agile manufacturing, quality inspection, virtual reality, automatic inspection, visualisation, image processing
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-81294DOI: 10.1109/ETFA46521.2020.9212184ISI: 000627406500189Scopus ID: 2-s2.0-85093366033OAI: oai:DiVA.org:ltu-81294DiVA, id: diva2:1485458
Conference
25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2020), 8-11 September, 2020, Vienna, Austria
Note

ISBN för värdpublikation: 978-1-7281-8956-7, 978-1-7281-8957-4

Available from: 2020-11-02 Created: 2020-11-02 Last updated: 2021-05-03Bibliographically approved

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Vyatkin, Valeriy

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