WEKO3
アイテム
Recognition of Specific Parts of Plastic Bottles Using Improved DeepLab v3+
http://hdl.handle.net/10228/0002001561
http://hdl.handle.net/10228/00020015617e804b8c-e2ca-41ba-bb7d-c05b85ea2930
| 名前 / ファイル | ライセンス | アクション |
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LaSEINE-2023_043.pdf (376.4 KB)
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| アイテムタイプ | 共通アイテムタイプ(1) | |||||||||||
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| 公開日 | 2025-04-09 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Recognition of Specific Parts of Plastic Bottles Using Improved DeepLab v3+ | |||||||||||
| 言語 | en | |||||||||||
| 著者 |
Ideta, Daiki
× Ideta, Daiki
× 神谷, 亨
WEKO
402
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| 著作権関連情報 | ||||||||||||
| 権利情報 | Copyright (c) 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||||
| 言語 | en | |||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | In this paper, we focus on the manpower shortage in factories and conduct an experiment to try to automate the process. Factory automation has many advantages, such as reducing labor costs and improving production efficiency. Among them, we focused on the sorting of plastic bottles at a waste disposal plant. Currently, garbage is sent to the landfill without being sorted, and it is sorted by hand. Unlike cans, plastic bottles cannot be easily automated because they cannot be separated using magnets. Therefore, we propose an image processing technique to recognize where plastic bottles are located, and to use a robot arm to sort them, thereby realizing automation. In this paper, we focus on image processing technique based on deep learning. As basic research, we conducted an experiment to see how well the robot can identify a single plastic bottle in an image. We attempted to use semantic segmentation methods for detection, using DeepLabv3+ as the basic model, and improved it. scSE Block and fine-tuning were introduced to improve the accuracy significantly compared to previous studies. | |||||||||||
| 言語 | en | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | 23rd International Conference on Control, Automation and Systems, ICCAS 2023, October 17-20 2023, Yeosu, Korea | |||||||||||
| 言語 | en | |||||||||||
| 書誌情報 |
en : 2023 23rd International Conference on Control, Automation and Systems (ICCAS) p. 1758-1761, 発行日 2023-11-20 |
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| 出版社 | ||||||||||||
| 出版者 | IEEE | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Semantic Segmentation | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Convolutional Neural Network | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Recognition of Plastic Bottle | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | DeepLabv3+ | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | ResNet | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Spatial and Channel Squeeze and Channel Excitation Block | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
| 資源タイプ | journal article | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | AM | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
| DOI | ||||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.23919/ICCAS59377.2023.10316854 | |||||||||||
| ISBN | ||||||||||||
| 識別子タイプ | ISBN | |||||||||||
| 関連識別子 | 978-89-93215-27-4 | |||||||||||
| ISSN | ||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||
| 収録物識別子 | 2642-3901 | |||||||||||
| 会議記述 | ||||||||||||
| 会議名 | 23rd International Conference on Control, Automation and Systems, ICCAS 2023 | |||||||||||
| 言語 | en | |||||||||||
| 回次 | 23 | |||||||||||
| 開始年 | 2023 | |||||||||||
| 開始月 | 10 | |||||||||||
| 開始日 | 17 | |||||||||||
| 終了年 | 2023 | |||||||||||
| 終了月 | 10 | |||||||||||
| 終了日 | 20 | |||||||||||
| 開催国 | KOR | |||||||||||
| 査読の有無 | ||||||||||||
| 値 | yes | |||||||||||
| 連携ID | ||||||||||||
| 値 | 14156 | |||||||||||
