| Presentation | 2021-07-08 A Study of the Fruit Sorting System Using YOLO Object Detection Hiroyuki Akai, Mengchun Xie, Mitsutoshi Murata, Nobuo Iwasaki, Toru Mori, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | fruit sorting / image classification / object detection / YOLO |
| Paper # | SS2021-8,KBSE2021-20 |
| Date of Issue | 2021-07-01 (SS, KBSE) |
| Conference Information | |
| Committee | KBSE / IPSJ-SE / SS |
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| Conference Date | 2021/7/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Virtual (Zoom) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroyuki Nakagawa(Osaka Univ.) / 鷲崎 弘宜(早稲田大学) / Takashi Kobayashi(Tokyo Inst. of Tech.) |
| Vice Chair | Takuya Saruwatari(NTT Data) / / Kozo Okano(Shinshu Univ.) |
| Secretary | Takuya Saruwatari(Shinsｈu Univ) / (Doshisha Univ,) / Kozo Okano |
| Assistant | Hideharu Kojima(Osaka Univ.) / Yutaro Kashiwa(Kyushu Univ,) / 伊原 彰紀(和歌山大学) / 小川 秀人(日立製作所) / 竹内 広宜(武蔵大学) / 徳本 晋(富士通) / 伏田 享平(NTT株式会社) / 福田 浩章(芝浦工業大学) / 横川 智教(岡山県立大学) / Shinpei Ogata(Shinshu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Knowledge-Based Software Engineering / Special Interest Group on Software Engineering / Technical Committee on Software Science |
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| Language | JPN |
| 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) | |
| Keyword(1) | fruit sorting |
| Keyword(2) | image classification |
| Keyword(3) | object detection |
| Keyword(4) | YOLO |
| 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) |
| Date | 2021-07-08 |
| Paper # | SS2021-8,KBSE2021-20 |
| Volume (vol) | vol.121 |
| Number (no) | SS-94,KBSE-95 |
| Page | pp.pp.41-45(SS), pp.41-45(KBSE), |
| #Pages | 5 |
| Date of Issue | 2021-07-01 (SS, KBSE) |