The company’s CEO, Manjit Singh Saini, explained that traditional manual methods for GSM and thread count measurement are increasingly misaligned with modern requirements for speed, accuracy, and sustainability.
Exporters frequently struggle with buyers sending only tiny fabric pieces for quality checks, such as GSM testing. Current techniques, using circular cutters and digital scales, are easily affected by human mistakes and calibration shifts, producing unreliable and uneven results.
AI-Driven Testing Solutions
GSM AI employs a high-definition camera and optical sensors to record precise fabric images, then applies AI-based processing trained on a wide variety of fabric samples.
The AI engine in GSM AI calculates the GSM in seconds by instantly and accurately mapping the area and weight variables from the analysis. This eliminates the need for replacing blunt blades and worn-out cutting mats, facilitating lifetime savings and reducing waste.
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Thread Count Analysis
DIGI PICK AI is an AI-powered solution designed for one-click EPI/PPI detection, addressing the bottleneck in textile labs. The system uses a high-resolution macro lens camera and advanced computer vision to capture highly detailed images and automatically identify and count warp and weft threads, regardless of fabric color or complexity.
While GSM AI and DIGI PICK AI currently operate independently, the company plans to enhance them for direct compatibility with laboratory software, ERP tools, and digital quality management systems. This upgrade will allow for instant data sharing, live monitoring, and full production-to-quality tracking across teams.
The goal is to shift from manual evaluations to precise, automated assessments, ensuring better quality, lower expenses, and greater sustainability.
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