Across textile testing labs and manufacturing units, quality control continues to face structural challenges. Traditional manual methods for GSM and thread count measurement are increasingly misaligned with modern requirements for speed, accuracy and sustainability, often resulting in inconsistent data, material wastage and delayed production decisions.
Addressing these gaps, Paramount Instruments, which specialises in textile testing and quality-control instruments, setting up complete QC labs for garment exporters, textile mills, buying houses, and educational institutions, has introduced two AI-driven testing solutions, GSM AI™ and DIGI PICK AI™, designed to automate and standardise critical fabric quality parameters. The instrument positions AI and computer vision as key enablers of next-generation textile quality control.
Explaining the motivation behind GSM AI™, Manjit Singh Saini, CEO, Paramount Instruments said, “Many exporters were complaining of the perennial problem of receiving Small Samples from the buyers to check various quality parameters including GSM.”
He added, “Traditional methods rely on round cutters and digital balance, which are quite prone to human error and calibration drift, leading to inconsistent and unreliable GSM results. Labs and manufacturers face a lifelong expense for replacing blunt blades and worn-out cutting mats. GSM AI™ eliminates this need, facilitating lifetime savings. Also, the conventional process is wasteful and slow, conflicting with modern sustainability goals.”
The AI engine in GSM AI™ uses a high-resolution camera and optical sensors to capture detailed images of the fabric sample. The AI algorithms, which have been trained on extensive datasets of diverse fabric samples, then perform advanced image processing. By instantly and accurately mapping the area and weight variables from this analysis, the integrated digital system and software calculate the GSM in seconds.
Alongside GSM testing, thread count analysis has been another bottleneck in textile labs. Manual EPI/PPI measurement using pick glasses is slow, subjective and highly dependent on operator skill. Addressing this, Paramount Instruments introduced DIGI PICK AI™, an AI-powered solution designed for one-click EPI/PPI detection.
DIGI PICK AI™ uses a high-resolution macro lens camera and advanced computer vision through Paramount’s QCvation software. Once placed on the fabric, the system captures highly detailed images and automatically identifies and counts warp and weft threads, regardless of fabric colour or complexity. This eliminates subjectivity and delivers lab grade accuracy within seconds.
Both GSM AI™ and DIGI PICK AI™ currently function as standalone instruments, but Paramount Instruments is upgrading them for seamless integration with lab software, ERP systems and digital quality control platforms. This will enable automatic data transfer, real-time visibility and end-to-end traceability across production and quality teams.
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.”
