Webinar: AI-Powered Textile Recognition with Hyperspectral Imaging
From Material Identification to Scalable Textile Processing
Accurate and fast identification of textile materials is becoming increasingly important for modern textile processing and recycling. Conventional vision systems often struggle with blended fabrics, visually similar materials, elastane content, or impurities.
Event Details:
Date: May 20, 2026, Time: 10:00 – 10:45 AM CEST, Format: Online Webinar, Language: English
In this webinar, our partner Specim demonstrates how hyperspectral imaging combined with artificial intelligence enables highly accurate textile recognition and automated material classification in real time.
You will learn how spectral imaging technology can support textile sorting, quality control, recycling processes, and automated material separation — from laboratory environments to industrial-scale production lines.
Who Should Attend?
This webinar is designed for:
- OEMs and machine builders
- System integrators
- Textile manufacturers and processors
- Recycling and circular economy companies
- Researchers and R&D professionals
Why Hyperspectral Imaging?
Unlike conventional RGB systems, hyperspectral imaging captures spectral information beyond the visible range. This enables highly accurate identification of materials based on their unique spectral signatures — even when materials appear visually identical.
The technology is increasingly used in industrial sorting, recycling, food inspection, agriculture, and scientific research to improve quality, automation, and sustainability.
What You Will Learn
- Why textile applications require spectral-based material identification
- How hyperspectral imaging detects textile materials beyond RGB vision systems
- How AI improves the recognition of blends, elastane, and impurities
- How automated material recognition supports textile sorting and recycling
- How Specim RETEX integrates into industrial and laboratory environments
- Real-world applications for textile processing and circular economy workflows
Featured Technology: Specim RETEX
Specim RETEX is an AI-powered hyperspectral solution designed for textile material identification and automated material separation. The system combines hyperspectral cameras with AI-driven classification software to identify fibers such as:
- Cotton
- Polyester
- Polyamide
- Viscose
- Wool
- Acrylic
The platform also enables recognition of blended materials, impurities, and color variations in real time.
Speakers
Francesco Di Clemente
Head of RETEX, Specim
Leading the RETEX project and driving the development of AI-powered solutions for industrial textile processing applications.
Federico Faina
Senior Product Manager, Specim
Responsible for product roadmap development and alignment with customer requirements.
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