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Paving the road to a circular textile economy with AI

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dc.contributor.authorRudisch, Katharina
dc.contributor.authorJüngling, Sebastian
dc.contributor.authorCarrillo Mendoza, Ricardo
dc.contributor.authorWoggon, Ulrike K.
dc.contributor.authorBudde, Ina
dc.contributor.authorMalzacher, Mario
dc.contributor.authorPufahl, Karsten
dc.date.accessioned2021-12-14T10:57:20Z
dc.date.available2021-12-14T10:57:20Z
dc.date.issued2021
dc.description.abstractThe textile industry has a detrimental impact on the environment and faces challenges to meet climate and environmental goals. The core problem is its linear system where only a small fraction of used garments is reused or recycled. To facilitate recycling of textiles, a sorting method is proposed that provides the necessary information about a garment to sort it into the appropriate recycling channel. Current methods have difficulties identifying garments polluted by chemicals used during dyeing and finishing which hinder recycling into new high-quality fibers. In this concept paper, the Circular Textile Intelligence (CRTX) project is outlined which addresses the central problem of linear structures in the textile industry. A spectroscopy and AI-based method for textile sorting will enable more informed decisions about optimal reuse and recycling channels, thus closing the loop. It will build upon a material database containing information about materials, textiles, dyes, finishings, and unwanted hazardous substances.en
dc.identifier.doi10.18420/informatik2021-025
dc.identifier.isbn978-3-88579-708-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37688
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-314
dc.subjectCircular Economy
dc.subjectTextileRecycling
dc.subjectChemometrics
dc.subjectSpectroscopy
dc.subjectArtificial Intelligence
dc.subjectNeural Networks
dc.titlePaving the road to a circular textile economy with AIen
gi.citation.endPage320
gi.citation.startPage313
gi.conference.date27. September - 1. Oktober 2021
gi.conference.locationBerlin
gi.conference.sessiontitle2. Workshop Künstliche Intelligenz in der Umweltinformatik (KIUI-2021)

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P314 - INFORMATIK 2021 - Computer Science & Sustainability