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Design for Embedded Image Processing on FPGAs Donald G. Bailey
Publisher: Wiley-Blackwell

What is your preferred platform for FPGA Design Flow ? 1% In addition, Xilinx Alliance Program members will also demonstrate how All Programmable devices are enabling smarter embedded systems at DESIGN West 2013. A View From The Top is a Blog dedicated to System-Level Design and Embedded Software. Xilinx Demonstrating Targeted Design Platforms for Motor Control, Ethernet, Automotive and Extensible Processing Platform at Embedded World, Nuremberg 2011 The Targeted Design Platform for Motor Control is based on the Xilinx(R) Spartan(R)-6 FPGA SP605 Evaluation Kit and provides all the building blocks needed to begin prototyping an intelligent drive control system. In partnership with world-class suppliers of advanced signal processing and communications IP cores for FPGA platforms, L2Tek brings to market innovative image compression technologies for high performance digital video and multimedia applications. CoreEL Technologies CoreEL Technologies is a leading provider of VLSI and embedded system design services and Intellectual Property (IP), delivering world-class products and support since the company's inception in 1999. Besides the fact that your smart device may require some level of driver development to enable the non-standard embedded devices (e.g. Acquisition device, flash memory, GPIO) the application level (e.g. Demonstrations at the Xilinx booth, #205 Hall 1, will leverage the strengths of Xilinx programmable devices including 7 series FPGAs and the ZynqTM-7000 extensible processing platform (EPP), which feature innovations such as Xilinx's Platforms (TDPs), plug-and-play IP, optimized operating systems, virtual platforms, next-generation design tools, and Xilinx Alliance Program members, contribute to an enhanced level of value in the embedded design process. A hybrid prototype implementation that connects a virtual (SystemC TLM) embedded Cortex-A9 CPU, cache and memory to a physical camera module and display. An image processing engine was implemented in the FPGA resources of a HAPS-60 system with a camera and encoder modules attached as HAPS daughter boards.