首页|Reports Outline Pattern Recognition and Artificial Intelligence Findings from University of Tunku Abdul Rahman (Abnormal Detection of Commutator Surface Defects Based On Yolov8)

Reports Outline Pattern Recognition and Artificial Intelligence Findings from University of Tunku Abdul Rahman (Abnormal Detection of Commutator Surface Defects Based On Yolov8)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Pattern Recognition and Artificial Intelligence. According to n ews reporting out of Kajang, Malaysia, by NewsRx editors, research stated, “The YOLOv8 model has high detection efficiency and classification accuracy in detecting commutator surface defects, aimed at the problem of low working efficiency of a commutator, caused by commutator surface defects. First, the theoretical framework of Region-based Convolutional Neural Networks (R-CNN), spatial pyramid pooling (SPP)-net, Fast R-CNN, and Faster R-CNN is introduced, and the detection principle and process are described in detail.”

KajangMalaysiaAsiaPattern Recognition and Artificial IntelligenceMachine LearningUniversity of Tunku Abdul Rah man

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.13)