How to filter organics intelligently

Remove only the necessary

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 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 with thousands of samples of organics, 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.

Trials with several customers have shown that PRISMA is able to maintain yarn quality while increasing clearing efficiency through a lower cut-rate. This is achieved by the unique combination of software and precise and sensitive sensor technology which allows error-free detection and classification of disturbing or non-disturbing defects.

Focus on customer needs: Customer trial results

In production, certain parameters are given. The level of efficiency to be profitable and the level of yarn quality to guarantee flawless further production. Various customer tests have shown that the unique measuring technologies of PRISMA enables the producers to achieve a higher yarn quality at a fixed cut-rate, i.e. a fixed productivity level, or vice versa provides a higher productivity (lower cut-rate) at a given yarn quality.

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 achieves improvements in 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 leaves him room for further optimization of his profitability. This new and trend-setting innovation shows once again how further optimization of spinning mills can be achieved through 100% online quality control with the latest technology on the market.

Most profitable organic filter
Best success rate for organic matter detection!
How to benefit from All-color foreign matter detection
How to use color mapping for production optimization


Yarn quality control for winding

  • Dual measurement (Basic yarn faults)
  • RGB F-sensor (Foreign matter)
  • P4-Sensor (Polypropylene)