The textile industry generates millions of tons of waste every year, much of it incinerated or landfilled. Manual sorting is slow, costly, and cannot manage the complexity of today’s clothing materials.
Technological advances in AI, computer vision, robotics, and digital traceability are redefining the future of textile recycling.
Key technologies
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Color and pattern recognition: detecting palettes and prints for reuse and recycling decisions.
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Texture and wear analysis: AI systems evaluate stains, tears, and fiber damage.
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Fiber composition identification: hyperspectral imaging distinguishes natural and synthetic fibers.
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Automated condition assessment: garments are categorized for reuse, mechanical or chemical recycling.
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Robotic automation: robotic arms improve efficiency in handling and sorting.
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Digital traceability: RFID, QR codes, blockchain provide transparency along the circular economy chain.
Impact
AI-enabled technologies increase accuracy and speed of sorting while reducing costs. They enable higher reuse rates, more efficient recycling, and a significant reduction of the industry’s ecological footprint.
AI and automation are key drivers of circular fashion, transforming textile waste into resources and paving the way for a sustainable future in fashion.
