The AI Self-Learning Fabric Inspecting System developed by the Textile Research Institute (TTRI) is a transformative innovation in fabric inspection. This system employs advanced optical design and comprehensive inspection methods, detecting 99% of fabric defects and accurately marking defect locations on screens and fabrics for precise quality control during production.

Defect data is systematically stored in an AI database, enabling continuous learning and improvement of the inspection process. The AI refines defect detection using collected data, enhancing overall system performance while reducing human error and increasing inspection efficiency.

TTRI also provides suppliers with detailed reports on defect causes, helping them identify specific problem areas across different fabric sectors. This insight empowers suppliers to improve fabric quality and boost shipment success rates, ultimately leading to more reliable and efficient textile production.