Paper Abstract and Keywords |
Presentation |
2021-01-22 11:05
A Mesh Shape Recognition Method Using Triangular Filter Tomoya Wada, Nobuyuki Yonaga, Tetsuo Imai, Kenichi Arai, Toru Kobayashi (Nagasaki City Univ.) ICM2020-54 LOIS2020-42 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
During the production of nets used in aquaculture, skilled technicians visually monitor the nets and adjust them if any abnormalities are found. However, due to problems such as loss of concentration caused by long hours of monitoring, some losses are incurred. In order to solve this problem, we are developing a system that can detect abnormalities by collecting data from network cameras and using machine learning to learn from the collected data. In this study, a triangular filter is used to detect the feature points of the mesh shape used for machine learning to identify the abnormal points and abnormal tension yarns. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Position detection / Anomaly detection / Digital filters / Net making machine / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 324, LOIS2020-42, pp. 119-124, Jan. 2021. |
Paper # |
LOIS2020-42 |
Date of Issue |
2021-01-14 (ICM, LOIS) |
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) |
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ICM2020-54 LOIS2020-42 |
Conference Information |
Committee |
ICM LOIS |
Conference Date |
2021-01-21 - 2021-01-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Practical Use of Lifelog, Office Information System, Business Management, etc. |
Paper Information |
Registration To |
LOIS |
Conference Code |
2021-01-ICM-LOIS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Mesh Shape Recognition Method Using Triangular Filter |
Sub Title (in English) |
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Keyword(1) |
Position detection |
Keyword(2) |
Anomaly detection |
Keyword(3) |
Digital filters |
Keyword(4) |
Net making machine |
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1st Author's Name |
Tomoya Wada |
1st Author's Affiliation |
Nagasaki City University (Nagasaki City Univ.) |
2nd Author's Name |
Nobuyuki Yonaga |
2nd Author's Affiliation |
Nagasaki City University (Nagasaki City Univ.) |
3rd Author's Name |
Tetsuo Imai |
3rd Author's Affiliation |
Nagasaki City University (Nagasaki City Univ.) |
4th Author's Name |
Kenichi Arai |
4th Author's Affiliation |
Nagasaki City University (Nagasaki City Univ.) |
5th Author's Name |
Toru Kobayashi |
5th Author's Affiliation |
Nagasaki City University (Nagasaki City Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-01-22 11:05:00 |
Presentation Time |
20 minutes |
Registration for |
LOIS |
Paper # |
ICM2020-54, LOIS2020-42 |
Volume (vol) |
vol.120 |
Number (no) |
no.323(ICM), no.324(LOIS) |
Page |
pp.119-124 |
#Pages |
6 |
Date of Issue |
2021-01-14 (ICM, LOIS) |
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