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Advanced SWIR Spectroscopy for Next-Generation Fabric Identification

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Author: Marie-Christine Ferland, Francois-René Lachappelle and Tristan Guay
Tuesday, December 5, 2023
Photon etc.

This white paper, titled "Advanced SWIR Spectroscopy for Next-Generation Fabric Identification," addresses the challenges in textile sorting, especially in the context of recycling non-biodegradable synthetic fibers and the prevalence of blended fabrics. The paper explores cutting-edge solutions, including the use of Short-Wave Infrared (SWIR) hyperspectral cameras like L-EOS 1.7 and L-EOS 2.5, which offer advanced capabilities for textile analysis. The study employs innovative bench marking using SWIR spectroscopy, and the results demonstrate promising accuracy levels for identifying and classifying textile blends, ranging from ±2-8%, showcasing the potential for revolutionizing textile industry sorting and recycling practices.

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File: Advanced_SWIR_Spectroscopy_for_Next_Generation_Fabric_Identification.pdf (2.53 MB)
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industrialmachine visionspectroscopyTest & MeasurementhyperspectralrecyclingtextilesSWIR Spectroscopyhyperspectral camerasTextile SortingFabric IdentificationRecycling Technologyspectral analysisTextile Blendssustainable practicesMultivariate RegressionTextile Recycling Accuracy
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