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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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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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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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Selecting and Designing with an Image Sensor: The Tradeoffs You’ll Need to Master

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI A diversity of image sensor options are available for your consideration, differentiated both in terms of their fundamental semiconductor process foundations and of their circuit (and filter, microlens and other supplement) implementations. Understanding their respective strengths and shortcomings is critical to making an appropriate product

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Automotive Driver Assistance Systems: Using the Processing Power of FPGAs

By Paul Zoratti Driver Assistance Senior System Architect Automotive Division Xilinx Corporation This is a reprint of a Xilinx-published white paper which is also available here (344 KB PDF). In the last five years, the automotive industry has made remarkable advances in driver assistance (DA) systems that truly enrich the driving experience and provide drivers

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