A graduate student of NED University, the country’s leading technology institute, solved the biggest problem of Pakistan’s textile industry by using artificial intelligence technology.
It will be possible to identify the quality and defects of the fabric before the production of textile products through a system involving artificial intelligence, which will reduce the expenditure of crores of rupees on the wastage of the textile industry and the production and export of garments from fabric. The risk of consignment rejection in case of product defect will be almost eliminated.
NED graduate automation and application engineer, AI developer Sabuhi Arif has developed a real-time fabric quality inspection system using artificial intelligence technology, this system is named IntelliInspect.
This system provides real-time detection of critical defects such as broken threads, stains, torn fabric, holes in knitted and woven fabrics in textile manufacturing, garment production, automotive textiles, home furnishings and industrial textiles. This system can detect these defects in raw fabric (gray fabric) as well as in dyed (dyed) and printed fabrics.
Sabuhi Arif, the brilliant engineer who developed the system, claims that this is the first analytical system of its kind in the world, which, if sponsored, will be a milestone in improving the quality of Pakistan’s largest export industry.
According to Sabohi Arif, during the testing of more than three thousand samples of knitted and woven fabric, the accuracy ratio of this system was more than 95% and 90% respectively. Through this system it was possible to identify the defects of the fabric in a minimum of 40 seconds and a maximum of 77 seconds.
He said that this system can be installed on the manufacturing line in the textile industry, which with the help of high-speed sensors and cameras, immediately identifies the defect in the fabric in seconds, which will help to make products from the defective fabric and raise it to other stages. It reduces costs and helps increase the profitability of the industry by reducing production losses.
The system will help the textile industry increase speed and efficiency, improve accuracy and production continuity while reducing costs and enabling data-driven analytics.
Sabuhi Arif is keen to use this system to reduce production losses caused by fabric defects in Pakistan’s textile industry to increase profits, especially to improve the quality of export products.
