Automated recognition and sorting of recycled textiles for sustainable fashion

Abstract: The application of the principles of sustainable fashion is one of the solutions to reduce the amount of waste from textile production and the use of such fabrics. Spectrophotometric methods have effective application in this subject area. In the present work, an analysis of known methods and approaches applied so far using the techniques of spectral analysis. The proposed methods and procedures lead to improvement and facilitation of the process of classification of textile fibers in sorting and recycling of textile fabrics, in order to implement in automated systems. The proposed analysis tools do not require high cost equipment and complex calculation procedures. They can be implemented in portable devices and microprocessor-based recognition systems. It has been found that two principal components and two latent variables are sufficient to describe the variance in the data. This significantly reduces the amount of data used to analyze textile fibers by their spectral characteri.... https://cdatp.journals.qucosa.de/cdatp/article/view/47

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Automated recognition and sorting of recycled textiles for sustainable fashion ; volume:2 ; number:2 ; year:2021 ; Communications in development and assembling of textile products ; 2, Heft 2 (2021)

Contributors, Places and Time

• Creator: Zlatev, Zlatin ; Ilieva, Julieta

Further information

• DOI: 10.25367/cdatp.2021.2.p151-161
• URN: urn:nbn:de:101:1-2405281532497.797329542813
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:47 AM CEST