関連する実験動画

Updated: Feb 14, 2026

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
10:31

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores

Published on: December 6, 2015

28.7K

YOLOv7-tinyの軽金属表面欠陥検出技術の設計は,アンカーフリーアルゴリズムを使用しています.

Yi-Cheng Huang1, Jun-Chang Lin2, Yi-Ze Wu2

  • 1Department of Mechanical Engineering, National Chung Hsing University, Taichung, 402202, Taiwan. ychuang66@dragon.nchu.edu.tw.

Scientific reports
|February 12, 2026
PubMed
まとめ

この研究では,リアルタイムで金属表面の欠陥を検出するための新しい軽量AIモデルを導入しています. 強化されたYOLOv7小型モデルは,製造品質管理に不可欠な,より高い精度と速度を達成します.

キーワード:
アンカーフリー・メソッド注意力メカニズム 注意力メカニズムディープラーニングとは,ディープラーニングです.金属表面の欠陥検知装置モバイルネットV3YOLOv7 でした.

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