The instrument positions AI and computer vision as key enablers of next-generation textile quality control.
Improved Accuracy in Fabric Analysis
The company’s existing GSM testing method, where fabric weight per square meter is determined using circular cutters and scales, remains error-prone due to human handling and equipment calibration shifts. The new GSM AI™ platform replaces this approach with a high-resolution imaging system paired with optical sensors, enabling instant analysis of fabric samples. By eliminating the need for physical cutting and weighing, the AI calculates area and weight variables in seconds, producing precise measurements without operator involvement.
Thread count verification, which traditionally depends on manual counting through magnifying tools, also benefits from automation. The DIGI PICK AI™ system employs a high-magnification camera and advanced computer vision algorithms to count warp and weft threads accurately, regardless of fabric color or pattern complexity. Both solutions currently function as standalone units but will soon sync with laboratory software and enterprise resource planning systems to streamline data workflows.
Read Also: Pioneer Embroideries Refocuses on Quality, Sustainability
Many exporters were complaining of the perennial problem of receiving Small Samples from the buyers to check various quality parameters including GSM. Buyers frequently request these samples to confirm weight and thread specifications before purchase, creating bottlenecks in production timelines. The AI platform eliminates this bottleneck by providing instant, automated measurements without manual intervention.
Expanding Automation Across Quality Control
Looking ahead, the company sees strong potential for AI-led automation in areas such as fabric defect detection, colour fastness evaluation, pilling and abrasion testing, dimensional stability measurement and blend identification. Saini summed up that the larger objective is “replacing human judgment with data-driven, consistent and rapid automated analysis, leading to higher quality, reduced costs and improved sustainability.”
Leave a Reply