Infrared and Laser Engineering, Volume. 50, Issue 12, 20210745(2021)

Illumination optimization method of LED light source for visual inspection system

Yuan Chao1... Peng Xu1, Hanbing Tang1, Fan Shi1 and Zhisheng Zhang2 |Show fewer author(s)
Author Affiliations
  • 1School of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China
  • 2School of Mechanical Engineering, Southeast University, Nanjing 211189, China
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    Figures & Tables(21)
    Schematic diagram of single LED light source mathematical model
    Schematic diagram of the position of the measured plane
    Hardware environment of chip package quality inspection
    Schematic diagram of light source coordinate system
    Schematic diagrams of related parameters labeled in different coordinate systems
    Schematic diagram of vector analysis
    Flow chart of the original Salp swarm algorithm
    Convergence comparison of different algorithms
    Experimental platform of the plane illumination measurement
    Comparison of theoretical and actual relative illumination distribution
    Comparison of theoretical illumination of the measured plane and the background
    Illumination distribution along the X-axis when changing by 1°变化1°时X轴方向上的照度分布
    Illumination distribution along the X-axis when changing by 1°变化1°时X轴方向上的照度分布
    Illumination distribution along the X-axis when changing by 10 mm变化10 mm时X轴方向上的照度分布
    Illumination distribution along the X-axis when changing by 10 mm变化10 mm时X轴方向上的照度分布
    Comparison of optimization results and traditional forward illumination
    • Table 1. Initialization parameters of ISSA

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      Table 1. Initialization parameters of ISSA

      Population size NSearch dimension DMax iteration MaxInertia factor C4Active factor C5
      8047000.10.9
    • Table 2. Evaluation function value corresponding to θ1

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      Table 2. Evaluation function value corresponding to θ1

      Parameter variation$ {\theta _1} - 1^\circ $$ {\theta _1} $$ {\theta _1} + 1^\circ $
      $ f $−1 086.9−1 261−1 115.6
    • Table 3. Evaluation function value corresponding to θ2

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      Table 3. Evaluation function value corresponding to θ2

      Parameter variation $ {\theta _2} - 1^\circ $$ {\theta _2} $$ {\theta _2} + 1^\circ $
      $ f $−1 122.4−1 261−1 144.0
    • Table 4. Evaluation function value corresponding to dx2

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      Table 4. Evaluation function value corresponding to dx2

      Parameter variation$ {\rm{d}}{x_2} - 10\;{{\rm{mm}}} $$ {\rm{d}}{x_2} $$ {\rm{d}}{x_2} + 10\;{{\rm{mm}}} $
      $ f $−627.7−1 261−657.1
    • Table 5. Evaluation function value corresponding to dz2

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      Table 5. Evaluation function value corresponding to dz2

      Parameter variation$ {\rm{d}}{z_2} - 10\;{{\rm{mm}}} $$ {\rm{d}}{z_2} $$ {\rm{d}}{z_2} + 10\;{{\rm{mm}}} $
      $ f $−963.4−1 261−917.1
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    Yuan Chao, Peng Xu, Hanbing Tang, Fan Shi, Zhisheng Zhang. Illumination optimization method of LED light source for visual inspection system[J]. Infrared and Laser Engineering, 2021, 50(12): 20210745

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    Paper Information

    Category: Optical design

    Received: May. 25, 2021

    Accepted: Nov. 11, 2021

    Published Online: Feb. 9, 2022

    The Author Email:

    DOI:10.3788/IRLA20210745

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