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Evolutionary Image Processing for an Intelligent Power Module Inserter Robust to Different Lighting Environments

Evolutionary Image Processing for an Intelligent Power Module Inserter Robust to Different Lighting Environments

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カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門(英文)

発行日: 2022/07/01

タイトル(英語): Evolutionary Image Processing for an Intelligent Power Module Inserter Robust to Different Lighting Environments

著者名: Genki Ishiguro (Department of Intelligence Science and Engineering, Graduate School of Natural Science and Technology, Gifu University), Junya Sato (Faculty of Engineering, Gifu University), Takayoshi Yamada (Faculty of Engineering, Gifu University), Kazu

著者名(英語): Genki Ishiguro (Department of Intelligence Science and Engineering, Graduate School of Natural Science and Technology, Gifu University), Junya Sato (Faculty of Engineering, Gifu University), Takayoshi Yamada (Faculty of Engineering, Gifu University), Kazuaki Ito (Faculty of Engineering, Gifu University)

キーワード: evolutionary image processing,genetic algorithm,peg-in-hole

要約(英語): This paper proposes a genetic algorithm-based image-processing method that enables an intelligent power module (IPM) inserter to be robust to different lighting environments. In a previous study, we developed an IPM inserter based on a 6-axis parallel link robot. The robot grasps the IPM and inserts it securely into the printed circuit board; this process facilitated by three-dimensional visual feedback control from two cameras. Image processing is used to acquire the positions of the IPM pin tips and the holes on the board. However, because the parameters used in the image processing all had fixed values, there were cases where the system could not cope with changes in the lighting environment. To address this issue, in this paper, we propose a method that uses a genetic algorithm to automatically obtain a set of image-processing parameter values that are optimized for the environment. The method also incorporates a proposed technique for speeding up insertion by conventional inserters. Overall, the proposed method can speed up insertion by approximately 40% and achieves a high insertion success rate even when the lighting conditions change.

本誌: IEEJ Journal of Industry Applications Vol.11 No.4 (2022)

本誌掲載ページ: 608-615 p

原稿種別: 論文/英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/11/4/11_21012824/_article/-char/ja/

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