Development of an AI-Driven Automated Quality Assurance System
for Circular Garments
ACS, Europe’s Largest Circular Fashion Hub and their partner University of Leeds, seek to develop an Automated Garment Inspection System that leverages AI to streamline the quality control of their returned garments by detecting defects like stains, alterations, and tears. This system automates the inspection process, ensuring consistent, accurate assessments while significantly reducing the need for manual labour. By integrating with existing systems, it will allow for efficient decision-making based on garment condition. This innovation enhances operational efficiency, reduces costs, and improves the quality of garments available for resale, setting a new benchmark for quality control in the UK Fashion industry.
Project lead: Michael Cusack
Job title: Head of Sustainability
Organisation: ACS Clothing
Additional partners:
- Prof. Ningtao Mao - Professor of Fibre and Textile Technology (School of Design, University of Leeds)
Project timeline: 1st March 2025 - 30th June 2025
Duration: 4 months