Research on detection method of textile fiber composition based on CNN

Liangliang Wang; Raymund Dilan

doi:10.1117/12.3055357

12 December 2024 Research on detection method of textile fiber composition based on CNN

Liangliang Wang, Raymund Dilan

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 1343920 (2024) https://doi.org/10.1117/12.3055357
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

In the context of the sustained and rapid development of the global textile industry, accurate detection of fiber composition is of great significance, which is not only related to the product quality of enterprises and the rights and interests of consumers, but also a key link to promote industrial innovation and development. Facing the increasing demand for textile inspection, the single chemical dissolution method or near infrared spectroscopy analysis method has been widely used in inspection practice, but it often presents certain limitations in inspection efficiency and accuracy of inspection results. In this regard, based on the actual project requirements, this paper will deeply analyze the feasibility of the application of artificial intelligence technology and deep neural network in this field, and combine the convolution neural network (CNN) and near infrared spectroscopy analysis technology to construct a brand-new detection method of textile fiber compositions, so as to realize the rapid and accurate detection of textile fiber compositions. Practice has proved that the collected near infrared spectroscopy data of textile samples are input into CNN network to complete feature recognition and pattern learning, and the results are predicted and output by a strong classifier, which realizes rapid and accurate identification and quantitative analysis of different fiber compositions in textiles, providing strong technical support for the high-quality development of textile industry.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liangliang Wang and Raymund Dilan "Research on detection method of textile fiber composition based on CNN", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 1343920 (12 December 2024); https://doi.org/10.1117/12.3055357

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KEYWORDS

Data modeling

Near infrared spectroscopy

Convolution

Chemical analysis

Statistical modeling

Chemical composition

Statistical analysis

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