Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling
CoRR(2024)
Abstract
The escalating volumes of textile waste globally necessitate innovative waste
management solutions to mitigate the environmental impact and promote
sustainability in the fashion industry. This paper addresses the inefficiencies
of traditional textile sorting methods by introducing an autonomous textile
analysis pipeline. Utilising robotics, spectral imaging, and AI-driven
classification, our system enhances the accuracy, efficiency, and scalability
of textile sorting processes, contributing to a more sustainable and circular
approach to waste management. The integration of a Digital Twin system further
allows critical evaluation of technical and economic feasibility, providing
valuable insights into the sorting system's accuracy and reliability. The
proposed framework, inspired by Industry 4.0 principles, comprises five
interconnected layers facilitating seamless data exchange and coordination
within the system. Preliminary results highlight the potential of our holistic
approach to mitigate environmental impact and foster a positive shift towards
recycling in the textile industry.
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