Advanced Textile Recycling

Advanced textile recycling research focuses on developing automated and efficient sorting systems to address the growing global textile waste problem. Current efforts leverage computer vision, machine learning (including convolutional neural networks and transformers), and robotics to improve the accuracy and speed of material classification and separation, often incorporating techniques like transfer learning and model merging to optimize performance and reduce computational costs. These advancements hold significant promise for enhancing sustainability in the fashion industry and promoting a more circular economy by enabling large-scale, cost-effective textile recycling.