Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1630004(2021)

Classification and Recognition of Disposable Masks Based on Raman Spectroscopy and Machine Learning

Jinkun Liu1, Chunyu Li1、*, Hang Lü1, Weigang Kong2, Wei Sun1, and Gefei Zhang1
Author Affiliations
  • 1School of Investigation, People's Public Security University of China, Beijing 100038, China
  • 2Institute of Criminal Science and Technology, Zhengzhou Public Security Bureau, Zhengzhou, Henan 450000, China
  • show less
    Figures & Tables(15)
    Appearances of masks under different magnifications. (a) 5×; (b) 20×; (c) 50×; (d) 100×
    Mask spectra obtained by different wavelength lasers
    Experimental results of reproducibility and uniformity of mask samples. (a) Reproducibility experiment; (b) uniformity experiment
    Raman spectrum processing results of 37 mask samples
    Flow chart of the mask classification model based on Raman spectroscopy
    Visualization of the PCA
    Characteristic peaks of the Raman spectrum of the mask. (a) 8#, 10#, 14# , 16#; (b) 1#, 2#, 19#, 31#, 33#; (c) 3#, 12#, 13#, 35#; (d) 21#, 25#, 29#, 30#
    Prediction results of the SVM model. (a) Train set; (b) test set
    Prediction results of the Bayesian discriminant analysis model. (a) Train set; (b) test set
    Relationship between iteration times and cross entropy
    • Table 1. Sample parameters of the disposable protective masks

      View table

      Table 1. Sample parameters of the disposable protective masks

      LabelBrandManufacturer
      1Xuancheng maskRizhao Nuohuan Protective Equipment Co., Ltd
      2Huian maskZhangjiagang Meibaiqi Trade Co., Ltd
      3ShengWang maskXiantao Siqi Protective Equipment Co., Ltd
      4JiaBoNeng maskGuangdong Dongwan Yian labor protection products Co., Ltd
      33Huian maskSuzhou Lotte Protective Equipment Co., Ltd
      34ZHICHANG maskNanchang of Jiangxi Province
      35Sanbang maskFoshan Nanhai Weijian Sanbang Protective Equipment Technology Co., Ltd
      36Taibang maskYunnan Baiyao Group Co., Ltd
      373M mask3M China Ltd
    • Table 2. Contribution rate of the PCA characteristic variance

      View table

      Table 2. Contribution rate of the PCA characteristic variance

      PCEigenvalueVariance /%Cumulative variance /%
      118.8033549.0249.02
      213.8590136.1385.15
      32.361976.1691.31
      41.769374.6195.92
      51.066302.7898.70
      60.134230.3599.05
      70.095340.2599.30
      80.062650.1699.46
      90.033210.0999.55
      100.029420.0899.63
      110.024000.0699.69
      120.021080.0599.74
      130.017520.0599.79
      140.013110.0399.82
      150.011480.0399.85
      160.010010.0399.88
      170.008000.0299.90
      180.007290.0299.92
      190.005250.0199.93
      200.004710.0199.95
      210.003870.0199.96
      220.003410.0199.97
      230.002500.0199.97
      240.002020.0199.98
      250.001680.0099.98
      260.001420.0099.99
      270.001160.0099.99
      280.000900.0099.99
      290.000840.0099.99
      300.000630.0099.99
      310.000600.00100.00
    • Table 3. Mask classification results based on PCA and Raman spectra

      View table

      Table 3. Mask classification results based on PCA and Raman spectra

      ClassSample number
      11#、2#、19#
      231#
      333#
      414#
      54#、7#、8#、9#、10#、11#、16#、17#、18#、20#、22#、23#、26#、27#、29#、34#、37#
      63#、5#、6#、12#、13#、15#、21#、24#、25#、28#、30#、32#、35#、36#
    • Table 4. Influence of different kernel functions on the SVM model

      View table

      Table 4. Influence of different kernel functions on the SVM model

      Kernel function typeTraining set accuracy /%Test set accuracy /%Run time /s
      Linear50.028.65
      Polynomial46.542.910
      RBF93.3100.020
      Sigmoid96.785.015
    • Table 5. Bayesian discriminant function of mask samples

      View table

      Table 5. Bayesian discriminant function of mask samples

      FunctionEigenvalueVariance /%Cumulative variance /%Canonical correlationFunction testWilks’lambdaSig
      115064.48766.266.211--50.000.00
      26222.54027.493.612--50.000.00
      31303.9515.799.313--50.000.00
      4126.6700.699.90.9964--50.000.00
      524.2170.11000.98050.040.00
    Tools

    Get Citation

    Copy Citation Text

    Jinkun Liu, Chunyu Li, Hang Lü, Weigang Kong, Wei Sun, Gefei Zhang. Classification and Recognition of Disposable Masks Based on Raman Spectroscopy and Machine Learning[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1630004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Spectroscopy

    Received: Aug. 24, 2020

    Accepted: Sep. 22, 2020

    Published Online: Aug. 17, 2021

    The Author Email: Chunyu Li (lichunyu@ppsuc.edu.cn)

    DOI:10.3788/LOP202158.1630004

    Topics