Efficient Recognition and Automatic Sorting Technology of Waste Textiles Based on Online Near infrared Spectroscopy and Convolutional Neural Network

  title={Efficient Recognition and Automatic Sorting Technology of Waste Textiles Based on Online Near infrared Spectroscopy and Convolutional Neural Network},
  author={WenQian Du and Jiahui Zheng and Wenxia Li and Zhenghao Liu and Huaping Wang and Xi Han},
  journal={Resources, Conservation and Recycling},

End-of-Life Textile Recognition in a Circular Economy Perspective: A Methodological Approach Based on Near Infrared Spectroscopy

The life cycle of textiles (i.e., fabrics and apparel products) generates many environmental impacts, such as resource consumption, water, soil, and air pollution through the dispersion of chemical

Classification of Textile Samples Using Data Fusion Combining Near- and Mid-Infrared Spectral Information

The experimental results presented in this paper prove that the data fusion of near- and mid-infrared spectra is a good option for accurate textile-waste classification, since this approach allows the classification results to be significantly improved.



Qualitative identification of waste textiles based on near-infrared spectroscopy and the back propagation artificial neural network

Results show that this near-infrared qualitative analysis model can more accurately classify and identify waste textiles, especially polyester wasteTextiles, and provides a new idea for the recycling and reuse of waste textile for enterprises.

Textile Recognition and Sorting for Recycling at an Automated Line Using Near Infrared Spectroscopy

The aim of this study was to deepen the understanding of NIR spectroscopy technology in the recognition of textile materials by studying the effects of structural fabric properties on the recognition, and the identified properties of fabrics that led non-matching recognition were coating and finishing.

State of the art of post-consumer textile waste upcycling to reach the zero waste milestone

  • M. Stanescu
  • Economics
    Environmental Science and Pollution Research
  • 2021
The textile industry is a large source of pollution due to the production of raw materials, preparation and finishing processes, as well as due to textile waste, especially the post-consumer waste, which has to be conceived as a source for carbon and energy.

From Textile Waste to Resource: A Methodological Approach of Research and Experimentation

The transition to a circular economy shifts the focus onto reusing, renewing and recycling existing materials and products, considering waste as a resource. In this context, this article aims to