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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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The Benefits of an Industry Alliance: How You Can Utilize the Potential of Embedded Vision Technology

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published in the September 2011 issue of the INSPECT Buyer's Guide. It is reprinted here with the permission of INSPECT. Embedded vision technology has the potential to enable electronic products to be more intelligent and responsive, so that they are more

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The VISION Show: Embedded Designs Are Becoming the Status Quo

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI Last November, EVA founder Jeff Bier attended VISION 2011, a trade show held in Stuttgart Germany. Part of Jeff's motivation to travel to VISION 2011 was his participation in a panel discussion on the topic of the future of embedded vision. And this editor also

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Consumer Surveillance Systems: Design Stratagems, Surmounting Implementation Problems, and Assessing the Embedded Vision Ecosystem

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI The Embedded Vision Alliance held its second quarterly Member Summit on December 6 in Dallas, TX, sponsored by Texas Instruments, and following up the premier event back in September. One notable aspect of the December meeting, as I previewed back in early November, was the

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Facial Recognition: A Mobile Application Yearning For Stereo Vision?

As I previously mentioned in mid-October, the latest-generation Android 4 "Ice Cream Sandwich" operating system from Google touts (among other things) built-in support for facial recognition as a system unlock option. And as I mentioned a few days later, it…umm…doesn't yet work terribly well. Not only is its operation inherently erratic, especially in low-light settings,

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Implementing an Image Signal Processing Pipeline using FPGAs

By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, follows up his premier video in this tutorial series with the discussion of a flexible ISP (image signal processing) implementation using readily available dynamic processing blocks in an FPGA.

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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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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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