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How would you like to get a 10x speedup in your image-processing or optical-inspection system using the Zynq SoC?

by Xilinx Employee ‎01-27-2014 05:19 PM - edited ‎01-28-2014 04:10 PM (47,107 Views)

Today, I had the privilege of meeting Dr. Klaus-Henning Noffz, CEO and founder of Silicon Software. Dr. Noffz’s company offers a very slick graphical image-processing development platform called Visual Applets and I had the opportunity to speak with him at Xilinx HQ in San Jose today. The Visual Applets package lets you chain together a long list of image-processing kernals to build complex, real-time image-processing systems using well-known concepts. You can create these systems with no knowledge of the underlying FPGA-based hardware used in Silicon Software’s frame-grabber boards.


The video demo below demonstrates an optical-inspection demo from the recent SPS Drives show held last November in Nuremberg, Germany. The demo shows the speedup made possible by moving image-processing tasks into programmable-logic hardware. There are two demo systems. The first demo system runs on the ARM Cortex-A9 MPCore processors inside of a Xilinx Zynq All Programmable SoC. The resulting system is able to recognize devices at the rate of about 8 frames/sec. The second demo system accelerates many of the image-processing tasks using the programmable logic in the Zynq SoC and the resulting recognition frame rate jumps to 92 frames/sec. That’s roughly a 10x speedup and faster inspection translates directly into lower-cost inspection. (Caveat: This system shows a greater than 10x speedup. Your mileage may vary.)


This demo combines two Zynq-compatible image-processing development packages: Visual Applets from Silicon Software and HALCON from MVTec.


Here’s the video from SPS Drives:



Coincidentally, Silicon Software and Xilinx are presenting a free Webinar on this type of image processing. It’s titled “Seeing is Believing: Develop High-Performance Machine Vision Systems Faster than the Blink of an Eye.” There’s still time to register. Click here.