A graduate from the NED University in Karachi, Suboohi Arif has developed IntelliInspect, an AI-driven system to detect fabric defects in real time. This innovation promises to save considerable costs for the textile industry by identifying quality issues early in the production process. IntelliInspect addresses the recurring problem of rejected export consignments due to faulty textiles, a major challenge for Pakistan's largest export sector.
The AI-powered technology detects various defects in both knitted and woven fabrics, including broken threads, stains, tears, and holes. Unlike traditional inspection methods, IntelliInspect analyzes unprocessed (grey), dyed, and printed fabrics in real time. Tests on over 3,000 samples showed accuracy above 95 per cent for knitted fabrics and 90 per cent for woven fabrics, with detection times ranging from 40 to 77 seconds.
Using high-speed sensors and cameras installed on textile manufacturing lines, IntelliInspect quickly identifies defects during production. This prevents manufacturers from using faulty fabric, improving profitability by reducing production losses. The system has applications across various textile segments, including garment production, automotive textiles, home furnishings, and industrial textiles. It enhances efficiency, accuracy, and production continuity while lowering operational costs.
Arif is seeking collaborations with industry stakeholders to integrate IntelliInspect into manufacturing facilities, improving the quality of export products and maximizing business profits. She emphasizes that the technology not only reduces costs but also provides data-driven analytics for better decision-making. IntelliInspect has the potential to transform Pakistan's textile sector, which accounts for over half of the country's exports and has historically struggled with quality control. Widespread adoption of this technology could significantly boost the industry's global competitiveness, she adds.