Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0612008(2025)

Lightweight Insulator Defect Detection Based on Multiscale Feature Fusion

Tieqiang Sun1,2、*, Zhaozhi Hong1, Chao Song1,2, and Pengcheng Xiao3
Author Affiliations
  • 1College of Artificial Intelligence, North China University of Science and Technology, Tangshan 063210, Hebei , China
  • 2Hebei Key Laboratory of Industrial Intelligent Perception, North China University of Science and Technology, Tangshan 063210, Hebei , China
  • 3College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, Hebei , China
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    Figures & Tables(21)
    Improved network structure
    Structure of C2f
    Structure of C2f-RE
    Structure diagrams of MobileNet Block and RepViT Block. (a) MobileNet Block; (b) RepViT Block
    Structure diagram of RVB-EMA
    Structure of EMA
    Structure of FDPN
    Structure of DASI
    Network structure of LSDECD
    Network structure of DEConv
    Inner-IoU loss function
    Various defect samples. (a) Self-explode; (b) worn; (c) flashover
    Thermal map of C2f before and after improvement. (a) Defect labels; (b) C2f; (c) C2f-RE
    Contrast curves of PmA and recall before and after improvement. (a) PmA; (b) recall
    Comparison of defect detection results. (a) Self-explode and flashover; (b) worn; (c) flashover
    Visualizations of simulating different environments
    • Table 1. Comparison of C2f experiments at different positions

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      Table 1. Comparison of C2f experiments at different positions

      ModelP /%R /%PmA /%Params /MGFOLPs
      YOLOv8n95.491.594.53.018.1
      +C2f-RE195.991.795.42.647.1
      +C2f-RE295.391.394.42.667.4
      +C2f-RE394.890.394.32.296.5
    • Table 2. Effect of λratio on model performance

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      Table 2. Effect of λratio on model performance

      ModelIoUP /%R /%PmA /%
      YOLOv8n+C2f-RE+FDPN+LSDECDCIoU1896.294.196.7
      WIoU2096.494.696.9
      Inner-WIoU(1.05)96.693.296.2
      Inner-WIoU(1.075)96.693.996.7
      Inner-WIoU(1.1)95.594.096.9
      Inner-WIoU(1.125)97.094.397.1
      Inner-WIoU(1.15)95.292.796.0
    • Table 3. Ablation experiment

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      Table 3. Ablation experiment

      ModelC2f-REFDPNLSDECDInner-WIoUPmA /%Params /MGFOLPsDetection frame rate /(frame/s)Size /MB
      a××××94.53.018.11156.3
      b×××95.42.647.1805.6
      c×××95.82.748.4975.7
      d×××95.22.366.51075.3
      e×××95.63.018.11206.3
      f××96.22.377.4935.0
      g×96.71.946.2804.5
      h97.11.946.2854.5
    • Table 4. Comparative experiment of different algorithms

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      Table 4. Comparative experiment of different algorithms

      ModelP /%R /%PmA /%Params /MGFLOPsDetection frame rate /(frame/s)
      YOLOv3-tiny2391.080.887.78.6713.058.5
      YOLOv5n2492.286.990.17.0216.077.0
      YOLO7-tiny2592.187.091.26.0213.281.3
      YOLO8n2695.491.594.53.018.1109.4
      RT-DETR-l2796.894.596.928.45105.237.2
      Faster R-CNN(ResNet50+FPN)2896.041.36134.521.0
      IF-DETR2996.594.997.339.3090.135.0
      YOLOv8-GSC3095.694.696.87.9021.575.0
      Ours96.795.597.11.946.285.0
    • Table 5. Comparative experiments simulating different environments

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      Table 5. Comparative experiments simulating different environments

      Image typeYOLOv8nOurs
      P /%R /%PmA /%P /%R /%PmA /%
      Normal95.491.594.596.795.597.1
      Low-light95.191.394.396.492.496.3
      Foggy95.489.193.894.391.295.2
      Rainy92.686.591.593.888.692.5
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    Tieqiang Sun, Zhaozhi Hong, Chao Song, Pengcheng Xiao. Lightweight Insulator Defect Detection Based on Multiscale Feature Fusion[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0612008

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Aug. 19, 2024

    Accepted: Sep. 10, 2024

    Published Online: Mar. 5, 2025

    The Author Email:

    DOI:10.3788/LOP241864

    CSTR:32186.14.LOP241864

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