For manufacturers in the textile and weaving industry, quality determines customer satisfaction, efficiency and competitiveness. Even the smallest material or production errors can cause rejects, complaints and increased costs. This is where our AI-supported visual quality control comes in: State-of-the-art algorithms detect even the smallest irregularities - from thick yarn spots and open stitches to color fastness or uneven textile surfaces.
The use of artificial intelligence reduces waste and rework, stabilizes processes and uses raw materials more efficiently. At the same time, this technology increases product quality, ensures consistent delivery standards and strengthens customer loyalty. Companies benefit from a clear competitive advantage thanks to reliable premium quality - with greater efficiency and sustainability at the same time.
The cloud platform follows a no-code self-service approach and is used to develop AI models individually for products, variants or process steps. It is initially trained with known error patterns and can be continuously improved through interaction with employees. In this way, it adapts flexibly to new patterns, applications and production conditions and standardizes quality decisions worldwide.
Images from industrial cameras are analyzed autonomously, on-premise and in real time with the trained models, decisive error patterns are detected and products are objectively evaluated. Materials and manufacturing processes can thus be inspected non-stop and without delay.
