Color Recognition of Transparent Plastic Based on Multi-Wavelength Transmission Spectrum
Plastic recycling is the most effective way to solve plastic pollution. Color recognition of plastic is a key step in the plastic recycling process, which is very important for improving the utilization rate of waste plastic. At present, the manual recognition method is inefficient and cannot meet t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/4948 |
| _version_ | 1827670639285108736 |
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| author | Chaoyi Shi Fuliang Dai Cuiping Lu Shaohui Yu Meina Lu Xianhe Gao Zhongma Wang Sheng Zhang |
| author_facet | Chaoyi Shi Fuliang Dai Cuiping Lu Shaohui Yu Meina Lu Xianhe Gao Zhongma Wang Sheng Zhang |
| author_sort | Chaoyi Shi |
| collection | DOAJ |
| description | Plastic recycling is the most effective way to solve plastic pollution. Color recognition of plastic is a key step in the plastic recycling process, which is very important for improving the utilization rate of waste plastic. At present, the manual recognition method is inefficient and cannot meet the requirements of large-scale production, while the existing color recognition based on machine vision has problems such as low recognition accuracy of similar colors, complicated algorithm and high system cost. According to the above problems, a color recognition method based on multi-wavelength transmission spectrum was proposed in this paper for the color recognition of colorless, light blue, light green and apple green transparent plastic. For each transparent plastic, the transmission spectra at 381 nm, 439 nm, 620 nm and white transmission light source were obtained, and the ratios of R, G and B wavebands of the transmission spectra were used to set up a color feature, which was then used for color recognition. A color recognition model was established based on the color features and naive Bayes model. The 10-fold cross-validation results showed that the recognition accuracy of the four colors of transparent plastic reached 100%. |
| first_indexed | 2024-03-10T03:24:54Z |
| format | Article |
| id | doaj.art-ed440cba0d644c89b50164ef3ede5e49 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:24:54Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ed440cba0d644c89b50164ef3ede5e492023-11-23T09:55:31ZengMDPI AGApplied Sciences2076-34172022-05-011210494810.3390/app12104948Color Recognition of Transparent Plastic Based on Multi-Wavelength Transmission SpectrumChaoyi Shi0Fuliang Dai1Cuiping Lu2Shaohui Yu3Meina Lu4Xianhe Gao5Zhongma Wang6Sheng Zhang7School of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, ChinaSchool of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, ChinaSchool of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, ChinaSchool of Mathematics and Statistics, Hefei Normal University, Hefei 230601, ChinaAnhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, ChinaSchool of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, ChinaSchool of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, ChinaSchool of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, ChinaPlastic recycling is the most effective way to solve plastic pollution. Color recognition of plastic is a key step in the plastic recycling process, which is very important for improving the utilization rate of waste plastic. At present, the manual recognition method is inefficient and cannot meet the requirements of large-scale production, while the existing color recognition based on machine vision has problems such as low recognition accuracy of similar colors, complicated algorithm and high system cost. According to the above problems, a color recognition method based on multi-wavelength transmission spectrum was proposed in this paper for the color recognition of colorless, light blue, light green and apple green transparent plastic. For each transparent plastic, the transmission spectra at 381 nm, 439 nm, 620 nm and white transmission light source were obtained, and the ratios of R, G and B wavebands of the transmission spectra were used to set up a color feature, which was then used for color recognition. A color recognition model was established based on the color features and naive Bayes model. The 10-fold cross-validation results showed that the recognition accuracy of the four colors of transparent plastic reached 100%.https://www.mdpi.com/2076-3417/12/10/4948transparent plasticcolor recognitionmulti-wavelength transmission spectrummachine learningrecyclingsustainable development |
| spellingShingle | Chaoyi Shi Fuliang Dai Cuiping Lu Shaohui Yu Meina Lu Xianhe Gao Zhongma Wang Sheng Zhang Color Recognition of Transparent Plastic Based on Multi-Wavelength Transmission Spectrum Applied Sciences transparent plastic color recognition multi-wavelength transmission spectrum machine learning recycling sustainable development |
| title | Color Recognition of Transparent Plastic Based on Multi-Wavelength Transmission Spectrum |
| title_full | Color Recognition of Transparent Plastic Based on Multi-Wavelength Transmission Spectrum |
| title_fullStr | Color Recognition of Transparent Plastic Based on Multi-Wavelength Transmission Spectrum |
| title_full_unstemmed | Color Recognition of Transparent Plastic Based on Multi-Wavelength Transmission Spectrum |
| title_short | Color Recognition of Transparent Plastic Based on Multi-Wavelength Transmission Spectrum |
| title_sort | color recognition of transparent plastic based on multi wavelength transmission spectrum |
| topic | transparent plastic color recognition multi-wavelength transmission spectrum machine learning recycling sustainable development |
| url | https://www.mdpi.com/2076-3417/12/10/4948 |
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