Hyperspectral imaging for material identification
Accurate material identification remains a key requirement in textile processing, particularly when handling blended or visually similar materials. Conventional machine vision systems based on RGB or multispectral imaging often reach their limits in such applications.
Hyperspectral imaging extends detection beyond the visible spectrum and captures detailed spectral information for each material. This enables more precise differentiation of fibres and compositions and forms the basis of hyperspectral textile recognition in automated sorting systems.
System integration and performance
Specim RETEX integrates hyperspectral cameras, AI-based classification software and configurable system components into existing processing environments. The system is designed for high-throughput operation and continuous industrial use.
The solution supports the recognition of fibres such as cotton, polyester, polyamide, viscose, wool and acrylic. It also enables the identification of blended materials, elastane content and impurities, as well as colour detection. Processing takes place in real time to meet industrial performance requirements.
Modular architecture for different applications
Specim RETEX is structured as a modular system to support various application scenarios. The portfolio includes an AI classification engine for integration into existing systems, laboratory solutions for analysis and validation, individual modules for OEMs and integrators, and complete systems for automated textile processing.
This architecture allows deployment from research environments to full-scale industrial operations and supports the implementation of hyperspectral textile recognition across different stages of textile recycling.
