YarnMaster® PRISMA is Loepfe’s latest pioneering technology for the textile market to maximize performance for detecting foreign matter in all colors, opening up new possibilities in terms of quality, profitability, optimal use of raw materials, and process optimization. The RGB technology used by Loepfe to detect foreign matter and organic components of cotton is based on detection with the full spectrum of light, and the yarn is illuminated in the full light spectrum using the additive RGB color model. This unique technology for yarn quality control uses the three primary colors – red, green, and blue – adding wavelength to enable full-color monitoring, a globally unique feature. RGB technology makes it possible for the first time to precisely detect all colors, thus scanning the whole raw material and classifying the unwanted components within it.
Benefits of the YarnMaster® PRISMA include:
Production optimization through a Cut History overview:
The PRISMA operating system provides a Cut History in which the detected colors are displayed for each cut. This enables data-based decisions on quality–mill management optimization and helps to increase efficiency from the blow room to the winding machine. This unique feature provides important information about 100% of the spun yarn and opens up new possibilities in raw material selection, blending, and cleaning.
Intelligent organic filtering
PRISMA’s uniqueness supports increases in efficiency with a holistic approach. The PRISMA software system uses algorithms and statistical models to analyze and draw inferences from data patterns, ensuring the recognition of all possible organic matter.
In addition to color management, RGB technology enables color-oriented selection of organic material in the cotton yarn, which does not necessarily have to be removed, as it does not cause disturbances in downstream process steps and is eliminated by other means.
Loepfe has fed the system thousands of organics samples, showing what they look like and how disturbing they are. The system can then recognize the organics without following explicit instructions, relying instead on the collection of organics and the patterns it has made from it. Customers can benefit from this intelligent organic filtering which offers an even more accurate detection of organic substances. The filter has learned whether organics need to be removed or not, leading to considerable savings, clearer cuts, and higher winding efficiency. Machine learning methods take the organic clearing function to the next level.
The graphic shows a test carried out with a customer in China manufacturing a Ne 60 compact yarn. Since the yarn quality now produced is not always satisfying, the goal was to reach a higher yarn quality while keeping the defined level of productivity (cut rate). The on-site test showed that the target – higher quality while maintaining the cut rate – was met. This important production optimization was achieved by the more precise removal of colored foreign matter and fewer cuts on non-disturbing organic events. This result also improves raw material utilization since a higher quality could be achieved from the same raw material with the same cut rate. The performance of PRISMA convinced the customer and left him room for further optimization of his profitability. This new and trend-setting innovation shows once again how to optimize spinning mills further through 100% online quality control with the latest technology on the market.
