Articles

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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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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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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Introduction To Computer Vision Using OpenCV (Article)

By Eric Gregori Senior Software Engineer and Embedded Vision Specialist BDTI The name OpenCV has become synonymous with computer vision, but what is OpenCV? OpenCV is a collection of software algorithms put together in a library to be used by industry and academia for computer vision applications and research (Figure 1). OpenCV started at Intel

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September’s Initial Embedded Vision Alliance Member Summit: A Resounding Success

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI On September 20, representatives from 18 (of 20 to-date total) Embedded Vision Alliance member companies met in San Jose, CA at the facilities of Alliance member Xilinx. The daylong series of briefings, planning sessions and relationship-building opportunities were judged highly rewarding by all in attendance,

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How Does Camera Performance Affect Analytics?

By Michael Tusch Founder and CEO Apical Limited Camera designers have decades of experience in creating image processing pipelines which produce attractive and/or visually accurate images, but what kind of image processing produces video which is well-purposed for subsequent analytics? It seems reasonable to begin by considering a conventional ISP (image signal processor). After all,

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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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