SAN JOSE, Calif. – Xilinx, Inc. (NASDAQ: XLNX) will demonstrate All Programmable embedded solutions for machine vision applications at Vision Stuttgart 2014. Through a series of demonstrations and presentations, Xilinx with their customers and ecosystem, will highlight the performance and flexibility of the Zynq® All Programmable SoC in vision applications. The Zynq devices are chosen by camera manufactures and vision systems designers to implement real-time image processing and analysis and leverage the ARM® dual Cortex™ A9 core to achieve faster scan times and higher accuracy rates. Xilinx will also exhibit the Smart Vision Development Kit that includes all key machine vision interfaces such as GigEVision, CoaXPress and USB3Vision in a single platform. Visit the Xilinx Stand #1C91 at Stuttgart Vision 2014, November 4-6, at Messe Stuttgart.
Xilinx and Ecosystem Demonstrations - Stand #1C91
• Pattern Matching/Bar Code Readers Performance Comparison - Presented by Vision Components Demonstration will showcase two identical bar code reader systems that display how the Zynq All Programmable SoC can increase the scanning performance and reduce the processing times.
• Real-Time Optical Character Recognition - Presented by MVTec and Sensor to Image Demonstration will allow visitors to write on paper and see how the Zynq All Programmable SoC performs instantaneous Optical Character Recognition (OCR) to translate into machine readable characters. The embedded HALCON Machine Vision Software runs the Smart Vision Development Kit based on Zynq-7015 device.
• Accelerated Vision Development Using Embedded Visual Applets - Presented by Silicon Software Demonstration will display how a user can create a video pipeline without writing a single line of HDL but using a graphic approach of embedding the Visual Applets Tool from Silicon Software. This user friendly tool targets the Zynq All Programmable SoC and allows users to construct a vision pipeline inside the FPGA by leveraging the 200+ video processing libraries available. Designers can now build a camera processing system with hardware acceleration with minimum efforts and no FPGA expertise.
Xilinx Presentations Messe Stuttgart
Tuesday, November 4 at 12:30 - 1 p.m., Hall 1, Stand A75 Programming Object Recognition Algorithms in Heterogeneous Systems Technical Presentation by Yvonne Lin, Industrial Imaging and Medical Manager, Xilinx Wednesday, November 5 at 2 p.m., Hall 1 Embedded, PC or Cloud - What Comes Next for Machine Vision Panel Discussion with Tomas Evenson, Chief Scientist, Xilinx
About Xilinx Smarter Vision Solutions
Xilinx Smarter Vision solutions include a broad portfolio of building blocks for smarter systems, called SmartCORE™ IP. The SmartCORE IP portfolio, developed by both Xilinx and its ecosystem, includes both hardware IP targeting All Programmable logic and software IP developed for high performance ARM processors. SmartCORE IP can be rapidly integrated via the Vivado IPI (IP Integrator). Additionally, new IP can be generated from: C, C++ or SystemC with Vivado HLS (high-level synthesis), and now includes industry standard OpenCV libraries, which are supported by popular operating systems and software development environments. A wide range of design kits further accelerate design productivity for smarter systems design.
Xilinx Smarter Vision solutions leverage Xilinx FPGAs, 3D ICs and Zynq-7000 All Programmable SoCs. Xilinx All Programmable SoCs are considered the ideal platform for designers to rapidly deliver highly integrated solutions with real-time pixel processing in programmable logic with ARM processor-based analytics for smarter video broadcast, machine vision and immersive displays. To learn more about Xilinx Smarter Vision solutions visit www.xilinx.com/smartervision.
Xilinx is the world's leading provider of All Programmable FPGAs, SoCs and 3D ICs. These industry-leading devices are coupled with a next-generation design environment and IP to serve a broad range of customer needs, from programmable logic to programmable systems integration. For more information, visit www.xilinx.com.
Silvia E. Gianelli
SOURCE Xilinx, Inc.
Web Site: http://www.xilinx.com