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Acoustic Resonance Testing of Glass IV Bottles

  • In this paper, acoustic resonance testing on glass intravenous (IV) bottles is presented. Different machine learning methods were applied to distinguish acoustic observations of bottles with defects from the intact ones. Due to the very limited amount of available specimens, the question arises whether the deep learning methods can achieve similar or even better detection performance compared with traditional methods.

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Author: Ivan Kraljevski, Frank Duckhorn, Yong Chul Ju, Constanze Tschöpe, Matthias WolffORCiD
DOI:https://doi.org/10.1007/978-3-030-49186-4_17
ISBN:978-3-030-49186-4
ISBN:978-3-030-49185-7
ISSN:1868-4238
ISSN:1868-422X
Title of the source (English):Artificial Intelligence Applications and Innovations : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II
Publisher:Springer International Publishing
Editor: Ilias Maglogiannis, Lazaros S. Iliadis, Elias Pimenidis
Document Type:Conference publication peer-reviewed
Language:English
Year of publication:2020
Volume/Year:Cham
First Page:195
Last Page:206
Series ; volume number:IFIP Advances in Information and Communication Technology book series ; volume 584
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Kommunikationstechnik
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