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| Presentation | 2022-12-23 14:30 Frozen Tuna Inspection using Ultrasound AI Akira Sakai, Suguru Yasutomi (Fujitsu), Masafumi Yagi, Kazuki Mizuno, Keiichi Goto (Tokai Univ.)  US2022-68 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Ultrasound technology is a widely used non-destructive inspection method. However, there are still few pieces of research on the application of ultrasound to frozen materials. In this study, we focus on the possibility of non-destructive inspection of frozen tuna. This is because, despite the wide quality variation of tuna, there is a lack of non-destructive methods to inspect frozen tuna quality. This fact raises the expectation of a novel method for it. In this research, we introduce the results of a trial to inspect the quality of tuna using ultrasound and also suggest a method to automate it using machine learning. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Ultrasound / Machine Learning / Tuna / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 323, US2022-68, pp. 98-103, Dec. 2022. | |
| Paper # | US2022-68 | |
| Date of Issue | 2022-12-15 (US) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | US2022-68 |
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| Conference Information | |
| Committee | EA US |
| Conference Date | 2022-12-22 - 2022-12-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Satellite Campus Hiroshima |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | [Joint Meeting on Acoustics and Ultrasonics Subsociety] Engineering/Electro Acoustics, Ultrasonics, etc. |
| Paper Information | |
| Registration To | US |
| Conference Code | 2022-12-EA-US |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Frozen Tuna Inspection using Ultrasound AI |
| Sub Title (in English) | |
| Keyword(1) | Ultrasound |
| Keyword(2) | Machine Learning |
| Keyword(3) | Tuna |
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| 1st Author's Name | Akira Sakai |
| 1st Author's Affiliation | Fujitsu Ltd. (Fujitsu) |
| 2nd Author's Name | Suguru Yasutomi |
| 2nd Author's Affiliation | Fujitsu Ltd. (Fujitsu) |
| 3rd Author's Name | Masafumi Yagi |
| 3rd Author's Affiliation | Tokai University (Tokai Univ.) |
| 4th Author's Name | Kazuki Mizuno |
| 4th Author's Affiliation | Tokai University (Tokai Univ.) |
| 5th Author's Name | Keiichi Goto |
| 5th Author's Affiliation | Tokai University (Tokai Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-12-23 14:30:00 |
| Presentation Time | 25 minutes |
| Registration for | US |
| Paper # | US2022-68 |
| Volume (vol) | vol.122 |
| Number (no) | no.323 |
| Page | pp.98-103 |
| #Pages | 6 |
| Date of Issue | 2022-12-15 (US) |
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