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| Paper Abstract and Keywords | ||
| Presentation | 2022-11-26 16:55 Object Detection Using Gesture Recognition with YOLO -- Application to Inventory Management -- Tsukasa Kudo (SIST)  SWIM2022-27 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In object detection using deep learning, it is necessary to prepare training data for each object, which is an application challenge in the field of handling many types of objects. For this challenge, I proposed an object detection method based on fingertip gesture recognition in my previous study. And, I showed the following: the model could be trained efficiently by transfer learning; the gesture indication section and the tilt of the object could be detected by the stopping motion. In this study, I propose an application method for inventory management. Concretely, it targets picking route instruction creation and randomly placed object recognition. Furthermore, through experiments, I show that route instruction documents can be created efficiently; also, object recognition accuracy with template matching can be improved by tilt correction. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | YOLO / object detection / gesture recognition / inventory management / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 282, SWIM2022-27, pp. 40-47, Nov. 2022. | |
| Paper # | SWIM2022-27 | |
| Date of Issue | 2022-11-19 (SWIM) | |
| 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 | SWIM2022-27 |
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| Conference Information | |
| Committee | SWIM |
| Conference Date | 2022-11-26 - 2022-11-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Management and IT, etc (Workshop) |
| Paper Information | |
| Registration To | SWIM |
| Conference Code | 2022-11-SWIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Object Detection Using Gesture Recognition with YOLO |
| Sub Title (in English) | Application to Inventory Management |
| Keyword(1) | YOLO |
| Keyword(2) | object detection |
| Keyword(3) | gesture recognition |
| Keyword(4) | inventory management |
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| 1st Author's Name | Tsukasa Kudo |
| 1st Author's Affiliation | Shizuoka Institute of Science and Technology (SIST) |
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| Speaker | Author-1 |
| Date Time | 2022-11-26 16:55:00 |
| Presentation Time | 25 minutes |
| Registration for | SWIM |
| Paper # | SWIM2022-27 |
| Volume (vol) | vol.122 |
| Number (no) | no.282 |
| Page | pp.40-47 |
| #Pages | 8 |
| Date of Issue | 2022-11-19 (SWIM) |
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