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September 2012 Embedded Vision Summit Presentation: “Addressing System Design Challenges in Embedded Vision,” Mario Bergeron, Avnet

Mario Bergeron, Technical Marketing Engineer at Avnet Electronics Marketing, presents the "Addressing System Design Challenges in Embedded Vision" tutorial within the "Using Tools, APIs and Design Techniques for Embedded Vision" technical session at the September 2012 Embedded Vision Summit. Embedded vision applications need to move video data from the image sensor to processing and storage […]

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September 2012 Embedded Vision Summit Presentation: “Introduction to Embedded Vision,” Jeff Bier, Embedded Vision Alliance

Jeff Bier, Founder of the Embedded Vision Alliance and co-founder and president of BDTI, presents the day-opening "Introduction to Embedded Vision" tutorial at the September 2012 Embedded Vision Summit. Topics discussed by Bier in his presentation include a technology overview, application examples, hardware, software and development tool trends, and an overview of the Embedded Vision

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September 2012 Embedded Vision Summit Afternoon Keynote: Gary Bradski, OpenCV Foundation

Gary Bradski presents the afternoon keynote at the September 2012 Embedded Vision Summit. Bradski is President and CEO of the OpenCV Foundation and Founder and Chief Technical Officer of Industrial Perception Inc. The "father of OpenCV" (the Open Source Computer Vision Library), Bradski has been the director of its development for more than 14 years,

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September 2012 Embedded Vision Summit Proceedings

The Embedded Vision Summit was held on September 19, 2012 in Boston, Massachusetts, as a technical educational forum for engineers interested in incorporating visual intelligence into electronic systems and software. The program for the event included the following presentations, whose PDF-formatted foilsets are available for download as a consolidated ZIP… September 2012 Embedded Vision Summit

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July 2012 Embedded Vision Alliance Member Summit Technology Trends Presentation on OpenCL

OpenCL is an emerging SDK (software development kit) that targets the problem of developing on heterogeneous multi-core platforms. Previously confined purely to the world of GPGPU (general-purpose computing on graphics processor units), it has recently also achieved acceptance on other hardware platforms, including fixed-function accelerators and even FPGAs. In this talk at the July 2012

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July 2012 Embedded Vision Alliance Member Summit Keynote: Gary Bradski, Industrial Perception

Gary Bradski, Founder and CTO at Industrial Perception as well as President and CEO of the OpenCV Foundation, describes the objectives, to-date history, current status and future plans for the OpenCV open-source computer vision library at the July 2012 Embedded Vision Alliance Member Summit.

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Introduction to Embedded Vision and the OpenCV Library (Embedded.com Article)

By Eric Gregori Senior Software Engineer BDTI This article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. The term “embedded vision” refers to the use of computer vision technology in embedded systems. Stated another way, “embedded vision” refers to embedded systems that extract meaning

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Smart Enhanced Back-Up Camera (SmartEBC) for CV220X Image Cognition Processors

By Tina Jeffrey Program Manager CogniVue This  is a reprint of a CogniVue-published white paper in the company's Knowledge Center, and is also available here (1.2 MB PDF). The CogniVue Smart Enhanced BackUp Camera (SmartEBC) is a revolutionary automotive rear-view camera application that analyzes image data from a single image sensor to track objects in

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“Get Smart” With TI’s Embedded Analytics Technology

By Gaurav Agarwal, Frank Brill, Bruce Flinchbaugh, Branislav Kisacanin, Mukesh Kumar, and Jacek Stachurski Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (2.1 MB PDF). Overview When a driver starts a car, he doesn’t think about starting an intelligent analytics system; sometimes, that’s precisely what he’s

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Leveraging Multicore Processors for Machine Vision Applications

By Mukesh Kumar Marketing Director, Multicore Processors Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (500 KB PDF). Introduction Meeting the needs of practically any conceivable type of vision application, TI has a wide selection of processors ranging from microprocessors based on ARM cores, to SoCs

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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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