Laser & Optoelectronics Progress, Volume. 61, Issue 22, 2212006(2024)

Improved YOLOv8n Lightweight Honeycomb Ceramic Defect-Detection Algorithm

Haining Hu1,2, Leiyang Huang2, Honggang Yang2, and Yunxia Chen1、*
Author Affiliations
  • 1School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China
  • 2School of Machinery, Shanghai Dianji University, Shanghai 201306, China
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    Figures & Tables(11)
    C2f module
    YOLOv8_ZN network structure
    Analysis of bounding box regression characteristics
    EMA module
    Space and channel reconstruction pyramid module
    Pictures of common defects in cylindrical honeycomb ceramics. (a) Ceramic physical object; (b) lateral crack; (c) stuff; (d) scratch
    Data augmentation. (a) Rotation; (b) flip over; (c) random cropping; (d) histogram equalization
    Comparison of small crack identification before and after improvement. (a) Recognition effect of original model; (b) improved model recognition effect
    Comparison of results before and after improvement
    • Table 1. Comparison of ablation experiments using improved methods

      View table

      Table 1. Comparison of ablation experiments using improved methods

      No.MethodWeight /MBFrame per second /framemAP@0.5 /%
      1None12.626194.2
      2Shape0.5-IoU12.626195.3
      3Shape0.8-IoU12.626095.8
      4EMA12.825997.6
      5SCLF8.427294.7
      6Shape0.8-IoU+EMA+SCLF9.127097.1
    • Table 2. Comparison of accuracy performance, parameter quantification, weight, and inference speed of different models

      View table

      Table 2. Comparison of accuracy performance, parameter quantification, weight, and inference speed of different models

      ModelAccuracy performancemAP@0.5 /%Parameter quantificationWeight /MBFrame per second
      CrackStuffScratch
      SSD83.685.985.484.91672321626.265
      YOLOv377.683.384.181.74313678266.159
      YOLOX(s)87.693.291.090.633016709.6116
      YOLOX(m)88.294.392.391.6583476911.393
      YOLOv790.894.295.893.6689778514.686
      YOLOv8n91.396.295.194.2352728612.6261
      YOLOv8_ZN95.498.397.697.129663379.1270
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    Haining Hu, Leiyang Huang, Honggang Yang, Yunxia Chen. Improved YOLOv8n Lightweight Honeycomb Ceramic Defect-Detection Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2212006

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Feb. 5, 2024

    Accepted: Apr. 11, 2024

    Published Online: Nov. 20, 2024

    The Author Email: Yunxia Chen (cyx1978@yeah.net)

    DOI:10.3788/LOP240670

    CSTR:32186.14.LOP240670

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