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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 Morning Keynote: Professor Rosalind Picard, MIT Media Lab

Professor Rosalind Picard presents the morning keynote at the September 2012 Embedded Vision Summit. Professor Picard is the founder and director of the Affective Computing Research Group at the MIT Media Laboratory, co-director of the Things That Think Consortium (the largest industrial sponsorship organization at the lab) and leader of the new and growing Autism

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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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Image Sensors Evolve to Meet Emerging Embedded Vision Needs – Part 2: HDR Processing

by Michael Tusch Founder and CEO Apical Limited This article was originally published at EDN Magazine. It is reprinted here with the permission of EDN. It was adapted from Michael's technical article on the Embedded Vision Alliance website. Part 1 of this article looks at examples of embedded vision and how the technology transition from

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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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Building Machines That See: Finding Edges in Images

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. With the emergence of increasingly capable low-cost processors and image sensors, it’s becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling

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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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Xilinx Video Scaler/On-Screen Display Reference Design Overview

Xilinx's Video Scaler/OSD (on-screen display) reference designs allow the user to quickly evaluate and experiment with the Xilinx Video Scaler IP core. These reference designs work "out of the box" with the Avnet Spartan-6 Industrial Video Processing Kit (IVK). To learn more, visit Avnet's Design Resource Center.

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Circular Traffic Sign Recognition on a 500 MHz Texas Instruments DM6437 EVM Board (Chinese Language Soundtrack)

Traffic sign recognition is one of emerging capabilities of advanced driver assistance and safety systems. In this demonstration, images captured by a 30 fps color camera are fed to algorithms running on a DM6437 EVM board and analyzed to detect circular traffic signs. When red circles are detected, they are further analyzed and classified within

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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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