Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

One-class Classification-based Acoustic Inspection Method for Canned Foods

Authors
Wei Han, Song-bin Zhou, Chang Li, Yi-sen Liu, Wei-xin Liu
Corresponding Author
Song-bin Zhou
Available Online July 2019.
DOI
https://doi.org/10.2991/masta-19.2019.70How to use a DOI?
Keywords
Canned foods inspection, Acoustic detection, One-class classification, Semi-Non-negative matrix factorization
Abstract

It is significant to inspect whether the vacuum degree of food container meets the standard. This paper proposes to treat it as a one-class classification problem. And for this, we present a one-class classification algorithm based on semi-non-negative matrix factorization: the classifier only needs to be learned from the dataset of qualified products, and then it can be used to judge whether the vacuum of the detected product is qualified or not. The detection results show that the proposed method can not only acquire the highest detection accuracy, but also correctly distinguishes the unqualified types that are easy to be misjudged by traditional methods.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
978-94-6252-761-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/masta-19.2019.70How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wei Han
AU  - Song-bin Zhou
AU  - Chang Li
AU  - Yi-sen Liu
AU  - Wei-xin Liu
PY  - 2019/07
DA  - 2019/07
TI  - One-class Classification-based Acoustic Inspection Method for Canned Foods
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 414
EP  - 419
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.70
DO  - https://doi.org/10.2991/masta-19.2019.70
ID  - Han2019/07
ER  -