Textile waste is a significant contributor to global pollution worldwide, with approximately 16 million tons of new and used textiles that could be sorted for reuse ending up in our landfills each year.
Hyperspectral imaging technology is a revolutionary tool in textile sorting and recycling as it offers reliable identification and separation of different types of fibers and substances, included blended fabrics, based on their composition and not on appearance or visual sorting techniques. This technology offers enhanced speed, endurance, accuracy and efficiency to textile sorting that cannot be attained with traditional sorting methods.
The Specim FX17, sensitive in the 900-1700nm wavelength range, offers the perfect solution for identification and classification of textiles. Aside from a few synthetic black textiles such as black polyester or black nylon, this system can accurately and efficiently detect the different spectral signatures of conventional fabrics for sorting.
The Specim RETEX System combines Specim hyperspectral technology with AI capabilities for real-time, accurate identification of textile materials, including complex blends and impurities, enabling automated material separation and scalable textile processing. It delivers highly accurate identification of cotton, polyester, polyamide, viscose, wool and acrylic, as well as recognition of blends, impurities and elastane detection. With several product variants available, it is ideal for integration into existing systems, R&D and validation work, and end-to-end complete sorting solutions.
Application Note: Hyperspectral Imaging reducing textile waste
Case Study: PICVISA Harnesses Hyperspectral Imaging to Revolutionize Textile Sorting
Case Study: Hyperspectral Imaging Enables Intelligent Shoe Pairing in Textile Recycling