Aracne Launches Predictive Quality Control While Knitting Fabrics
Aracne has developed a groundbreaking predictive quality control system for knitwear manufacturing, which can reduce production defects by over 50 percent and promote sustainability.
Aracne’s technology, which combines photonic and Internet of Things (IoT) systems with artificial intelligence algorithms, can predict potential manufacturing faults before fabric production even begins.
By anticipating defects such as knitting faults caused by worn machine parts or fabric defects due to mechanical or yarn problems, the system enables proactive measures and prevents issues from occurring.
The initiative is sustainable as it helps cut down waste generated during the textile manufacturing process, which accounts for 25 percent of the industry’s total waste.
By real-time analysis of critical components, Aracne’s solution prevents common defects like holes, streaks, and spots, which are usually identified only after production.
Aracne was nominated for the Innovation in Sustainability Award at ITMA 2023 and also won the Best Research and Development of Artificial Intelligence prize at the Factories of the Future Awards.
