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August 17, 2025High VoltageOpen Access

BCM‐YOLO: An improved YOLOv8‐based lightweight porcelain insulator defect detection model

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Authors

FBFeng BinFHFan Fan HouDCDunhua Chen

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Overview

Experimental results reveal BCM-YOLO improves defect detection accuracy in porcelain insulators, indicating enhanced performance for edge devices.

Key Points

  • BCM-YOLO model improves detection accuracy while reducing parameters by 50.5%, enhancing suitability for practical applications.
  • The method integrates a bidirectional feature pyramid network to optimize feature fusion and decrease resource use.
  • Utilizing a context-guided block structure enhances the model's efficiency without sacrificing performance.
  • Introduced multiscale dilated attention increases perceptual capability across varying feature sizes, achieving better results.

Cite This Study

Bin et al. (2025) studied this question.

synapsesocial.com/papers/68a36ddf0a429f79733312adhttps://doi.org/10.1049/hve2.70080
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