Paper Abstract and Keywords |
Presentation |
2021-07-08 15:40
A Study of the Fruit Sorting System Using YOLO Object Detection Hiroyuki Akai, Mengchun Xie, Mitsutoshi Murata, Nobuo Iwasaki, Toru Mori (NIT, Wakayama College) SS2021-8 KBSE2021-20 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, the development of systems for agriculture using deep learning has been progressing. When applying deep learning to fruit selection, it is difficult for image classification to recognize multiple fruits in an image with high accuracy. In this study, we focused on the fruit selection of mandarin oranges, a specialty product of Wakayama. Two fruit selection systems were constructed using the object detection algorithm YOLO, a detection and classification system and a shipment availability detection system. We also proposed a cost reduction method for creating annotation data for object detection. Comparative experiments were conducted to verify the effectiveness of the system. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
fruit sorting / image classification / object detection / YOLO / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 95, KBSE2021-20, pp. 41-45, July 2021. |
Paper # |
KBSE2021-20 |
Date of Issue |
2021-07-01 (SS, KBSE) |
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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SS2021-8 KBSE2021-20 |
Conference Information |
Committee |
KBSE IPSJ-SE SS |
Conference Date |
2021-07-08 - 2021-07-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online (Zoom) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
KBSE |
Conference Code |
2021-07-KBSE-SE-SS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study of the Fruit Sorting System Using YOLO Object Detection |
Sub Title (in English) |
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Keyword(1) |
fruit sorting |
Keyword(2) |
image classification |
Keyword(3) |
object detection |
Keyword(4) |
YOLO |
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1st Author's Name |
Hiroyuki Akai |
1st Author's Affiliation |
National Institute of Technology, Wakayama College (NIT, Wakayama College) |
2nd Author's Name |
Mengchun Xie |
2nd Author's Affiliation |
National Institute of Technology, Wakayama College (NIT, Wakayama College) |
3rd Author's Name |
Mitsutoshi Murata |
3rd Author's Affiliation |
National Institute of Technology, Wakayama College (NIT, Wakayama College) |
4th Author's Name |
Nobuo Iwasaki |
4th Author's Affiliation |
National Institute of Technology, Wakayama College (NIT, Wakayama College) |
5th Author's Name |
Toru Mori |
5th Author's Affiliation |
National Institute of Technology, Wakayama College (NIT, Wakayama College) |
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Speaker |
Author-1 |
Date Time |
2021-07-08 15:40:00 |
Presentation Time |
25 minutes |
Registration for |
KBSE |
Paper # |
SS2021-8, KBSE2021-20 |
Volume (vol) |
vol.121 |
Number (no) |
no.94(SS), no.95(KBSE) |
Page |
pp.41-45 |
#Pages |
5 |
Date of Issue |
2021-07-01 (SS, KBSE) |
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