UK-based Shelton Vision, a leader in advanced textile inspection technology, is set to unveil its latest machine vision system powered by machine learning and deep learning AI at ITMA Asia + CITME 2025, taking place in Singapore from October 28–31, 2025. The company will be part of the British Textile Machinery Association (BTMA) delegation.
Shelton’s new AI-powered inspection solution achieves over 98% defect detection accuracy and an impressive 100% classification accuracy, even when operating at high industrial fabric speeds. This precision allows manufacturers to maintain the highest quality standards while reducing waste, rework, and production costs.
The system’s adaptability makes it suitable for a broad spectrum of applications—ranging from camouflage-printed fabrics for defence purposes to one-piece woven (OPW) airbags used in automotive safety. By integrating AI into quality control, Shelton enables textile producers to detect minute defects instantly, classify them accurately, and take corrective action in real time.
Beyond improving efficiency, Shelton’s technology contributes to sustainability goals by minimizing fabric waste and reducing the environmental impact of textile production. This aligns with growing industry demand for smart manufacturing solutions that combine high productivity with eco-friendly operations.
At ITMA Asia + CITME, BTMA will showcase a diverse range of UK innovations—from technical fibre production to control systems, testing equipment, and precision instrumentation. Shelton Vision’s contribution stands out for its direct application of artificial intelligence in delivering near-perfect inspection standards, a leap forward in Industry 4.0 adoption within the textile sector.
With the global textile industry facing mounting quality and cost pressures, Shelton’s deep learning inspection technology represents a game-changing step towards smarter, faster, and greener manufacturing.
