| Paper Abstract and Keywords |
| Presentation |
2021-01-22 15:35
[Short Paper]
Basic examination about wiring status judgment of switchboard by image recognition Keishi Nishimoto, Takeshi Hirama (itic.pref.ibaraki.jp) MVE2020-40 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In the manufacturing industry, especially in the field of wiring work, the shortage of workers is an issue, and even beginner need to suppress erroneous work such as wiring mistakes and work omissions.
There is a need for a work support system that constantly monitors work, detects wiring mistakes and work omissions, and presents them to workers as needed.
When developing the system, we conducted a basic research on how accurate the work status can be recognized when image recognition processing is used to recognize the work status.
As a result, the combination of VGG11 and adam, and VGG16 and Momentum had the highest accuracy rate, with an accuracy of 98.66%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Machine learning / ResNet / VGG / Wiring work / Work status recognition / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 319, MVE2020-40, pp. 45-46, Jan. 2021. |
| Paper # |
MVE2020-40 |
| Date of Issue |
2021-01-14 (MVE) |
| 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 |
MVE2020-40 |
| Conference Information |
| Committee |
MVE IPSJ-CVIM |
| 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) |
|
| Paper Information |
| Registration To |
MVE |
| Conference Code |
2021-01-MVE-CVIM |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Basic examination about wiring status judgment of switchboard by image recognition |
| Sub Title (in English) |
|
| Keyword(1) |
Machine learning |
| Keyword(2) |
ResNet |
| Keyword(3) |
VGG |
| Keyword(4) |
Wiring work |
| Keyword(5) |
Work status recognition |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Keishi Nishimoto |
| 1st Author's Affiliation |
Industrial Technology Innovation Center Of Ibaraki Prefecture (itic.pref.ibaraki.jp) |
| 2nd Author's Name |
Takeshi Hirama |
| 2nd Author's Affiliation |
Industrial Technology Innovation Center Of Ibaraki Prefecture (itic.pref.ibaraki.jp) |
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| Speaker |
Author-1 |
| Date Time |
2021-01-22 15:35:00 |
| Presentation Time |
15 minutes |
| Registration for |
MVE |
| Paper # |
MVE2020-40 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.319 |
| Page |
pp.45-46 |
| #Pages |
2 |
| Date of Issue |
2021-01-14 (MVE) |