Updated : December 2020
IoT for real time textile waste reduction
Textile production is a complex process involving resource intensive inputs across the value chain. Quality control is critical to efficiently manage the resources and minimize waste while also improving the product quality and profits. Current quality control measures are mostly manual which has its own challenges which in turn affects product yield. It is learnt that more than 80% of defects could be minimized at the knitting or weaving stage. Smartex uses a combination of IoT sensors and AI/machine learning software for the real-time inspection and detection of defects in fabric production. The technology helps textile manufacturers improve production yields, reducing defective production down to 0.1 percent.
Read more: Smartex
Artificial intelligence
Automated quality control in textile knitting
IoT sensors in textile fabric manufacture
Real-time inspection in fabric production
Plug and play control for knitting
Highlights and sustainability benefits The technology helps in reducing production costs, 100% process traceability and close to 0% manufacturing defects. Due to its flexible design, the system neither interferes with the machine nor have an impact on the manufacturing process. It helps in minimizing the waste and improves efficiency of the manufacturers.
RecognitionThe company has been listed by Forbes under 30 Europe social entrepreneurs. It has also been selected by Fashion for Good. The company has worked with a European textile manufacturer in successfully implementing the solution and saving over € 2,072.00 per month.
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