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Laser & Optoelectronics Progress, Volume. 59, Issue 24, 2410007(2022)

Lightweight Object Detection Algorithm for Warehouse Goods

Chen Wang1, Qingni Yuan1、*, Huan Bai1, Heng Li2, and Wenze Zong1
Author Affiliations
  • 1Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education, Guizhou University, Guiyang 550025, Guizhou, China
  • 2School of Mechanical Engineering, Guizhou University, Guiyang 550025, Guizhou, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
    Equations (5)
    References (18)
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    Paper Information
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    Figures & Tables(11)
    Block module in MobileNetv3

    Fig. 1. Block module in MobileNetv3

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    Channel attention and spatial attention structure in CBAM

    Fig. 2. Channel attention and spatial attention structure in CBAM

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    Improvement of YOLOv4 backbone extraction network

    Fig. 3. Improvement of YOLOv4 backbone extraction network

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    E-CBAM overall structure

    Fig. 4. E-CBAM overall structure

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    E-CBAM mechanism added to PANet

    Fig. 5. E-CBAM mechanism added to PANet

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    Loss curve in Tensorboard

    Fig. 6. Loss curve in Tensorboard

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    Some examples of datasets

    Fig. 7. Some examples of datasets

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    Comparison of detection effects of two models. (a) YOLOv4-tiny; (b) E-YOLOv4-Lite

    Fig. 8. Comparison of detection effects of two models. (a) YOLOv4-tiny; (b) E-YOLOv4-Lite

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    • Table 1. Improved attention mechanism ablation experiment

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      Table 1. Improved attention mechanism ablation experiment

      ModelmAP /%Parameter
      MobileNetv3-YOLOv493.250
      CBAM+YOLOv4-Lite94.7594894
      E-YOLOv4-Lite95.43196

    • Table 2. Comparison of parameters of each model

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      Table 2. Comparison of parameters of each model

      ModelParameter
      YOLOv4-tiny6062814
      YOLOv4-Lite11791741
      E-YOLOv4-Lite11791937
      SSD26285486

    • Table 3. Comparison of comprehensive performance of 4 models for item detection

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      Table 3. Comparison of comprehensive performance of 4 models for item detection

      ModelPrecision /%Recall /%F1FPSTime /smAP /%
      YOLOv4-tiny98.9594.890.967770.30.014194.53
      YOLOv4-Lite97.7393.470.949371.10.014093.25
      E-YOLOv4-Lite99.0395.510.971869.20.014495.43
      SSD96.0291.640.937829.10.034491.59
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    Chen Wang, Qingni Yuan, Huan Bai, Heng Li, Wenze Zong. Lightweight Object Detection Algorithm for Warehouse Goods[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2410007

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    Paper Information

    Category: Image Processing

    Received: Sep. 2, 2021

    Accepted: Nov. 1, 2021

    Published Online: Jan. 11, 2023

    The Author Email: Yuan Qingni (qnyuan@gzu.edu.cn)

    DOI:10.3788/LOP202259.2410007

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology