No.1018 2021インダストリー関連技術特集号 磁粉探傷検査工程の自働化 |
| カテゴリー | 資料 |
|---|---|
| 筆者 | 生産サポート本部 生産技術開発部 荒井雄貴 房安浩二 杉原 億 |
| 要旨 | In automating the magnetic particle inspection process for rack and pinion type steering racks, the problems were the false indication generated on the ridgeline of rack teeth and the variety of defect modes. Focusing on the strength of magnetization and fl ow of magnetic particles, we have developed a magnetic particle application technology suitable for image recognition. In addition, by using deep learning for image recognition, we were able to overcome these challenges. By combining magnetic particle application technology and image recognition technology, a recognition accuracy of 0% nondetection and less than 5% over-detection is achieved. |
| キーワード | magnetic particle testing, automation, deep learning, image recognition |
| 関連タグ |
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(2024年4月の集計)
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