• Optical Instruments
  • Vol. 45, Issue 5, 35 (2023)
Ningzhi YUAN, Shaohua CHEN*, and Taotao MU
Author Affiliations
  • College of Instrumental Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing 100192, China
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    DOI: 10.3969/j.issn.1005-5630.2023.005.005 Cite this Article
    Ningzhi YUAN, Shaohua CHEN, Taotao MU. Research on classification of plastics by Raman spectroscopy combined with deep learning algorithm[J]. Optical Instruments, 2023, 45(5): 35 Copy Citation Text show less
    Flow chart of Raman spectrum classification
    Fig. 1. Flow chart of Raman spectrum classification
    Average Raman spectra of four types of plastics
    Fig. 2. Average Raman spectra of four types of plastics
    Original Raman spectra
    Fig. 3. Original Raman spectra
    Smoothed filtered Raman spectra
    Fig. 4. Smoothed filtered Raman spectra
    Baseline correction Raman spectra
    Fig. 5. Baseline correction Raman spectra
    Spectral classification structure of one-dimensional convolutional neural network
    Fig. 6. Spectral classification structure of one-dimensional convolutional neural network
    Training flow chart of backpropagation algorithm
    Fig. 7. Training flow chart of backpropagation algorithm
    1-D Training loss rate and accuracy curve of CNN network
    Fig. 8. 1-D Training loss rate and accuracy curve of CNN network
    Comparison of classification accuracy of the four models before and after preprocessing
    Fig. 9. Comparison of classification accuracy of the four models before and after preprocessing
    Influence of different intensity noise on model classification accuracy
    Fig. 10. Influence of different intensity noise on model classification accuracy
    样本编号样本名称 (包装)原材料
    1康师傅绿茶PET
    2康师傅茉莉清茶PET
    3康师傅冰糖雪梨PET
    4元气森林苏打气泡水PET
    5乐事薯片 (红烩味)PET
    6乐事薯片 (原味)PET
    7可比克薯片 (烧烤味)PET
    8可比克薯片 (番茄味)PET
    9卫龙大面筋PET
    10美好时光海苔PET
    11滴眼液PE
    12免洗消毒凝胶PE
    13蓝莓叶黄素脂PE
    14越橘叶黄素脂PE
    15类胡萝卜素胶囊PE
    16铁质叶酸片PE
    17维生素BPE
    18维生素CPE
    19维生素DPE
    20维A素软膏PE
    21西瓜霜PE
    22消毒喷雾PE
    23促愈功能性敷料PP
    24舒肤佳沐浴露 (袋)PP
    25蓝月亮洗衣液 (袋)PP
    26超能洗衣液 (袋)PP
    27沙宣洗发露 (袋)PP
    28潘婷洗发露 (袋)PP
    29漱口杯PP
    30希乐水杯PP
    31富光水杯PP
    32一次性勺子PS
    33一次性餐盒PS
    34儿童餐盘PS
    35儿童碗具PS
    36化妆品收纳盒PS
    37文具收纳盒PS
    38牙签盒PS
    39梳子PS
    40保鲜膜PS
    Table 1. Sample name and main raw materials
    分类模型分类准确率/%
    原始数据预处理后数据
    KNN79.83±0.8388.15±1.34
    DT84.22±0.8789.96±0.77
    SVM88.58±0.5196.39±0.69
    1-D CNN98.62±0.1397.53±0.18
    Table 2. Classification accuracy of different models
    Ningzhi YUAN, Shaohua CHEN, Taotao MU. Research on classification of plastics by Raman spectroscopy combined with deep learning algorithm[J]. Optical Instruments, 2023, 45(5): 35
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