Labels & Labeling wishes you a prosperous 2017
Global Inkjet Systems (GIS) has selected Global Graphics’ Harlequin Host Renderer for its uniti OS (Operating System), increasing the capacity for high throughput variable data applications. The Harlequin RIP drives the HP Indigo digital press range as well as HP’s IHPS high speed web presses.
GIS is a provider of software drivers and electronics for industrial inkjet printheads used in a wide range of applications including labels, packaging, ceramic tiles, laminate flooring, textiles and high speed variable data systems. Global Graphics is the developer of the Harlequin RIP, the PDF and PostScript compatible RIP. The company has integrated the Harlequin Host Renderer into its software drivers to provide a fast PDF RIP, capable of handling variable data even when the file is not constructed in PDF/VT. GIS is also licensing Harlequin ColorPro to give accurate and consistent color reproduction, which is a key factor in labeling and packaging applications.
Nick Geddes, CEO of GIS commented: ‘The Global Graphics products offer the speed and performance needed to meet the requirements of certain customers in labeling, packaging and book printing-type applications. Being able to offer the option of the Harlequin products as part of the uniti Operating System significantly enhances what we can provide to customers with demanding applications.’
The speed achieved by version 3 of the Harlequin Host Renderer is due to a number of significant new features each of which increases processing speed so that data passes through the RIP at a faster pace. Harlequin VariData accelerates the processing time of regular PDF files containing variable data including, but not only, PDF/VT files; and Harlequin Parallel Pages allows the RIP to interpret one frame while it is still rendering the previous one. This gives print providers the maximum advantage of multi-core computers. The Harlequin Host Renderer is also available as a 64-bit build to access additional memory when it’s needed for pages with large amounts of data.