His technology combines multispectral imaging and AI to identify blended textile fibers such as polyester, cotton, nylon, and spandex. Using data from visible, NIR, and SWIR bands, the system captures spectral differences among fibers. AI models classify materials with high accuracy, even in complex blends. It enables real-time fiber recognition for textile recycling, automated sorting, and quality control, improving material recovery efficiency and supporting circular economy efforts.