Infrared and Laser Engineering, Volume. 51, Issue 7, 20210829(2022)

Intelligent adjustment system of indoor lighting based on deep learning

Hanmei Chen1,2, Chunrong Yu1、*, and Zhichao Liu3
Author Affiliations
  • 1School of Computer Science and Engineering, Cangzhou Normal University, Cangzhou 061001, China
  • 2Information and Engineering College of SPUP, Saint Paul University Philippines, Manila 3500, Philippines
  • 3School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130000, China
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    Figures & Tables(8)
    Intelligent lighting system structure
    Flow chart of intelligent lighting control program
    Four lighting conditions of the illuminated area
    Comparison of actual and calculated positions of personnel (xaxis)
    Comparison of actual and calculated positions of personnel (yaxis)
    Curves of the number of light sources and convergence time
    Curves of the number of people and the convergence time
    • Table 1. Illumination test values of different test positions

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      Table 1. Illumination test values of different test positions

      LEDIlluminance value/lx
      P1P2P3P4
      注:P表示Position,序号见图3
      1 m1414111463
      28642110102
      38516811786
      4263164115207
      Total475415456458
      measured382325362361
      2 m117228143
      254218787
      3571198356
      417711586152
      Total305277337338
      measured247222272271
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    Hanmei Chen, Chunrong Yu, Zhichao Liu. Intelligent adjustment system of indoor lighting based on deep learning[J]. Infrared and Laser Engineering, 2022, 51(7): 20210829

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    Paper Information

    Category: Image processing

    Received: Nov. 8, 2021

    Accepted: Dec. 6, 2021

    Published Online: Dec. 20, 2022

    The Author Email: Chunrong Yu (yuchunrongnuc@sina.com)

    DOI:10.3788/IRLA20210829

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