Meyle+Müller, EAT and caddon have entered into a strategic partnership to offer valid digitization of physical samples and their visualization solutions in the textile industry environment. The combination of fabric simulation, spectrally measured data and spectral rendering makes it possible to raise the 3D visualization of textile products to a new level. The possibility of physically plausible visualization can thus be used in the entire process chain of the textile industry.
Products can be reliably visualized in the development and design process, thus saving between 70 and 80% of the expenses in the established sampling processes. In addition, the data can be used in B2B and B2C to create attractive images for showrooms, web stores, catalogs and campaigns without having to use real products. This massively shortens the time from development to sales.
For the first time, the partnership between the three companies enables the smooth, end-to-end use of data from the first to the last step in the textile process chain.
The Meyle+Müller Group has been a specialist in the production of marketing-relevant content for 112 years. By combining production experience with the technical capabilities of the GPU renderer NVIDIA Iray®, Meyle+Müller offers the ideal platform for using the technologies of its partners EAT and caddon.
EAT – The DesignScope Company was founded 40 years ago in Krefeld and is still located there today. As a world leader in CAD/CAM software for textile design, EAT has always enjoyed a special reputation for its photorealistic fabric simulation. Server-based solutions for networking production machines in weaving and warp knitting mills and for managing pattern files complement the software house’s offering.
caddon has been involved in digital printing since it was founded in 1988. As a spin-off of RWTH Aachen University, the Aachen site has been involved in the development and production of multispectral imaging measurement technology since the turn of the millennium. This overcomes the limitations of conventional spectrophotometers by providing image data of multicolored surfaces whose pixels are also spectral measurement values. Thus, the visual human perception is reproducibly substantiated with objective measurements in one data set.
