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Application of AI deep-learning technique to the detection of internal misaligned and defective screw nuts
https://doi.org/10.32286/00022961
https://doi.org/10.32286/000229617525e81f-5669-4144-be9e-9092702380a8
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
KU-1100-20210320-04.pdf (3.2 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2021-03-30 | |||||
| タイトル | ||||||
| タイトル | Application of AI deep-learning technique to the detection of internal misaligned and defective screw nuts | |||||
| 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 | departmental bulletin paper | |||||
| ID登録 | ||||||
| ID登録 | 10.32286/00022961 | |||||
| ID登録タイプ | JaLC | |||||
| 著者 |
Lin, Pang-Chieh
× Lin, Pang-Chieh× Huang, Yi-Chen× Lin, Sheng-Jie× Kung, Huang-Kuang |
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| 概要 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | As a result of regulations and requests, most fasteners for the automotive industry require a 100% full quality control inspection. Conventional optical inspection machines are unable to efficiently provide 100% full quality control inspection as it is time consuming and difficult to easily detect defects and flaws. This paper focuses on the development and application of a convolution neural network (CNN) of an AI deep-learning technique for the internal thread measurement of misaligned fasteners. Integration of an optical hardware system and a software system platform is included. It is thus similar to upgrading the hardware and software system platform of conventional optical inspection machines. Utilizing the machine vision hardware, the system is capable of capturing an image of an internal thread of the fastener. In the software platform system, a CNN of deep learning is applied to detect and determine defects or flaws in the internal thread of the fastener. | |||||
| 書誌情報 |
Science and technology reports of Kansai University = 関西大学理工学研究報告 巻 63, p. 35-52, 発行日 2021-03-20 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 04532198 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA12314657 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| 出版者 | ||||||
| 出版者 | Kansai University | |||||
| 出版者（他言語） | ||||||
| 値 | 関西大学 | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Fastener | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Internal thread | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Convolution neural network (CNN) | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | AI deep learning | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | 関西大学, Kansai University | |||||
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Cite as
Lin, Pang-Chieh, Huang, Yi-Chen, Lin, Sheng-Jie, Kung, Huang-Kuang, 2021, Application of AI deep-learning technique to the detection of internal misaligned and defective screw nuts: Kansai University, 35–52 p.
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