Accurate and fast identification of textile materials is essential for modern textile processing. However, blends, visually similar materials, and impurities make reliable identification challenging with conventional machine vision technologies.
In this webinar, our partners at Specim Hyperspectral explore how hyperspectral imaging, combined with AI, enables precise recognition of textile materials – including complex blends and impurities – and how this capability supports scalable textile processing across applications.
They will also introduce Specim RETEX, a hyperspectral and AI-based solution for textile material identification, automated material separation, and integration with third-party or stand-alone lab-scanning systems.
What you’ll learn:
- Why textile materials require spectral-based identification
- How hyperspectral imaging enables accurate material recognition
- How AI improves detection of blends, elastane, and impurities
- How material recognition supports real time sorting, quality control, impurities detection, recycling and other use cases for the entire textile industry
- How Specim RETEX integrates into real-world applications
Speakers
🎙️ Francesco Di Clemente, Head of RETEX, Specim
Leading the Retex project, driving the development of AI-powered solutions for real-world business processes.
🎙️ Federico Faina, Senior Product Manager, Specim
Product Manager in Retex project. Responsible for product roadmap and product alignment with customer needs.
Who should attend
This webinar is designed for:
- OEMs and machine builders
- System integrators
- Textile manufacturers and processors
- Recycling and circular economy operators
- Researchers and R&D professionals
If you want to discuss textile sorting challenges you’re facing, get in touch with Dr. Luke Nicholls by email below or call (01372) 378822.
