Planning technology capital investments requires a delicate balance between selecting solutions that are future-proofed enough to grow with your business, while meeting your budget requirements for today. If you are considering investing in new desktop scanners and PCs to support your document-intensive business processes, you should take a look at the processing power of the scanner you select. Desktop scanners traditionally use the processing power of the host PC to handle image processing, which requires a more robust PC, often at a premium cost. Choosing an underpowered PC means slower throughput speeds and longer processing time to render and compress images.
Embedded Image Processing on the Kodak S2000 Scanner Series takes away that dependence on a high-powered PC, with powerful built in processors that handle image processing at the scanner rather than the desktop. This allows the scanners to run at rated speed without any slowdown or need for host-processing. The Kodak S2050 uses a single core processor for throughput up to 50 pages per minute . The Kodak S2070’s dual core scanner can handle up to 70 pages per minute.
Embedded Image Processing has the flexibility to work in any kind of IT environment, because the scanner handles the processing work. No need for a super-powered desktop makes the Kodak S2000 Series a good fit for both thin client PCs as well as cloud and terminal based solutions. On-scanner processing delivers crisp, high quality images compressed right out of the box. Plus, you’re productive as soon as you start scanning with a quick startup time to first scan, since you don’t have to wait for a PC.
Embedded Image Processing is another way we’re innovating with the Kodak Alaris IN2 Ecosystem. Our image science expertise helps customers turn data chaos into business opportunity. To learn more about the Kodak S2000 Series and the ways it can help with information capture, book a demo today!
Learn how to evaluate imaging technologies. Find out why total system image quality matters more than single components.
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