Artificial intelligence is becoming a key technology for real-time monitoring of webs in industrial textile production. Conventional sensors often struggle with complex patterns, varying materials, and irregular edge structures. AI-based optical sensors overcome these challenges by interpreting visual information and providing reliable data for process control.

ELSEAMTEX: The intelligent eye for seam detection

The ELSEAMTEX SI 1001 is a contactless seam sensor for textile webs. Combining a matrix camera and AI-based image processing, it reliably detects cross seams on plain or printed materials. When a seam is detected, ELSEAMTEX generates a digital signal that can be integrated directly into machine controls. This enables automated actions such as opening calender rollers, lifting shearing blades, or interrupting printing processes to prevent equipment damage and improve efficiency.

ELWARP: Precise warp thread detection

Unlike conventional systems that rely on protruding weft threads and offset calculations, the ELWARP SI 2001 sensor identifies the outermost warp thread directly. Using a combination of incident light, transmitted light, and AI-based image processing, the sensor analyzes the material edge and reliably identifies the relevant warp thread. This improves cutting accuracy and keeps protruding weft threads from getting caught in production equiptment damaging it and the textile.

ELSEAMTEX and ELWARP demonstrate how AI-based sensor systems increase process reliability, improve product quality, reduce waste, and help protect machine components through automated process control. Integrated Wi-Fi connectivity in both sensors and the E+L AI Manager app additionally support software updates, testing, and data analysis. As their AI models continuously learn from new data, their accuracy and flexibility continue to grow, creating additional opportunities for optimization in textile production.

More info at the E+L webpage