AI for fabric digitization and smart quality control to reduce waste and increase production capacity.
Top quality is mandatory in the Ready-to-Wear industry. Defects impact timing, production capacity, as well as the environment.
Today, there is no simple, fast and complete way to inspect fabrics to detect defects. Several human inspections take place at different steps and fail to identify and locate defects. Decision-making is hindered by the fact that information is often inaccurate and not shared in real-time.
HOW IT SOLVES IT
Whatever the fabric might be, Apollo Plus’ AI quality-control solution, GoldenEye, using unsupervised inspection algorithms, is able to instantaneously analyze its structure and detect defects. Unsupervised means no need for a defect bible, and no need to train the system to recognize a type of fabric or defect.
The solution digitizes entire rolls of fabrics and runs smart quality control.
Celine and Louis Vuitton installed GoldenEye in a major fabrics manufacturer’s factory. This validated the solution in an industrial configuration: digitizing rolls, applying detection algorithms, defining defect tolerance levels, as well as a quality control and decision-making process.
The solution improves overall performance. It reduces waste by 15 % and gains between two weeks to two months of lead time and brings quality ownership to a new level.
- Thomas ISNARD
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