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HD Video Processing using Xilinx’s Zynq-7000 EPP for Intelligent Video Systems

Rapidly emerging applications in the area of embedded vision require ability to do real-time processing of one or more streams of HD video at high frame rates. In this demonstration, Xilinx's Navanee Sundaramoorthy, Product Manager for Processing Platforms, shows how you can use the Zynq-7000 Extensible Processing Platform with dual ARM Cortex-A9 processors and programmable […]

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Vision-Based Gesture Recognition: An Ideal Human Interface for Industrial Control Applications

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published in Digi-Key's Microcontroller TechZone. An excerpt of it is reprinted here with the permission of Digi-Key. Embedded vision, the evolution and extrapolation of computer-based vision systems that process and interpret meaning from still and video images, is poised to be

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Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part One

Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow. Gene, who has been with the company for nearly 40 years, did his early work with DSPs in association with the Speak & Spell speech synthesizer. In this two-part series, Gene and Brian discuss the history of the DSP both

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Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part Two

Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow. Gene, who has been with the company for nearly 40 years, did his early work with DSPs in association with the Speak & Spell speech synthesizer. In this two-part series, Gene and Brian discuss the history of the DSP both

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OpenCV on TI’s DSP+ARM® Platforms: Mitigating the Challenges of Porting OpenCV to Embedded Platforms

By Joseph Coombs and Rahul Prabhu Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (365 KB PDF). Abstract In today’s advancing market, the growing performance and decreasing price of embedded processors are opening many doors for developers to design highly sophisticated solutions for different end applications.

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Embedded Vision: FPGAs’ Next Notable Technology Opportunity

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published in the First Quarter 2012 issue (PDF) of the Xilinx Xcell Journal. It is reprinted here with the permission of Xilinx. A jointly developed reference design validates the potential of Xilinx’s Zynq device in a burgeoning application category. By Brian

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Gesture Recognition–First Step Toward 3D UIs?

by Dong-Ik Ko and Gaurav Agarwal Texas Instruments This article was originally published in the December 2011 issue of Embedded Systems Programming. Gesture recognition is the first step to fully 3D interaction with computing devices. The authors outline the challenges and techniques to overcome them in embedded systems. As touchscreen technologies become more pervasive, users

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Dynamic Range And Edge Detection: An Example Of Embedded Vision Algorithms’ Dependence On In-Camera Image Processing

By Michael Tusch Founder and CEO Apical Limited This article will expand on the theme initiated in the premier article of this series, that of exploring how the pixel processing performed in cameras can either enhance or hinder the performance of embedded vision algorithms. Achieving natural or otherwise aesthetically pleasing camera images is normally considered

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Implementing Vision Capabilities in Embedded Systems

by Jeff Bier Founder and President, BDTI September 29, 2011 This paper was originally published at the 2011 Embedded Systems Conference Boston. Abstract—With the emergence of increasingly capable processors, it’s becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling them to analyze their environments via video inputs. Products like

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Introduction To Computer Vision Using OpenCV (Video)

By Eric Gregori Senior Software Engineer and Embedded Vision Specialist BDTI This video training session covers some of the algorithms available in OpenCV, and is intended for programmers and non-programmers alike. You can download (and install) the BDTI OpenCV Executable Demo Package here and follow along. The examples run on various Windows operating systems and

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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