Embedded Vision Insights: July 24, 2012 Edition

Dear Colleague,

Phew! Another Embedded Vision Alliance Member Summit has come and gone, last Thursday to be precise. I'd like to thank all of the member companies who sent representatives, for your attendance and participation in the day's various activities. Special thanks go to Platinum member Xilinx for hosting the event, as well as to Industrial Perception's Gary Bradski, IMS Research's Jon Cropley, and BDTI's Shehrzad Qureshi for (respectively) their informative and interesting keynote, market trends and technology trends presentations.

And, speaking of events, the Alliance is pleased to announce its first-ever public embedded vision event for the engineering community. The Embedded Vision Summit will take place on September 19 in Boston, Massachusetts, concurrent with (and at the same venue as) the DESIGN East series of conferences, which include the Embedded Systems Conference Boston along with others. The event will be free of charge to qualified engineers, and will also be open to invited press and analysts.

The Embedded Vision Summit will provide a technical educational forum for engineers, including how-to presentations, seminars, demonstrations, and opportunities to interact with Alliance member companies. This event is intended to:

• Inspire engineers’ imaginations about the potential applications for embedded vision technology through exciting presentations and demonstrations,
• Offer practical know-how for engineers to help them incorporate vision capabilities into their products, and
• Provide opportunities for engineers to meet and talk with leading embedded vision technology companies and learn about their offerings.

The keynote speaker will be Professor Rosalind Picard of MIT. 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 & Communication Technology Initiative at MIT. She is also co-founder, chief scientist and chairman of Affectiva, Inc., which develops technology to help measure and communicate emotion.

If you're interested in attending the Embedded Vision Summit, please visit the event page for more information, including registration application instructions. And if you know someone who might be interested in attending the event, please forward this newsletter to him or her. Thanks as always for your support of the Alliance, and for your interest in and contributions to embedded vision technologies, products and applications.

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance
[email protected]

Gaze Tracking Using CogniMem Technologies' CM1K and a Freescale i.MX53
This demonstration, which pairs a Freescale i.MX Quick Start board and CogniMem Technologies CM1K evaluation module, showcases how to use your eyes (specifically where you are looking at any particular point in time) as a mouse. Translating where a customer is looking to actions on a screen, and using gaze tracking to electronically control objects being showcased behind a transparent display such as Samsung’s, can result in a wide range of new applications for gamers, consumers, digital displays, and shop owners alike.

Automotive Rear View Camera Demonstration on TI’s DM6437 Evaluation Module
Rear view camera image processing is one of the key emerging capabilities of advanced driver assistance and safety systems. In this demonstration by Goksel Dedeoglu, manager of TI’s Vision R&D, images captured by a rear view camera are fed to a 500 MHz DM6437 (TMS320DM6437) evaluation module.

More Videos

Are Apple and the iPad Falling Behind Competitors in User Interface Technologies?
The release of the new iPad brought a number of incremental upgrades but also raised interesting questions, as Apple’s competitors aggressively incorporate a number of advanced user interface technologies at a faster pace. IMS Research believes Apple will need to embrace embedded vision-based technologies in its next product releases in order for the company to maintain its competitive edge. More

Seeing is Believing, but Vision isn't Video
I've always had the same problem distinguishing, in technology terms, between "vision" and "video." I know, of course, what an engineer would explain: "vision" technology often requires a host of algorithms that enable a machine or computer to detect, classify, and track objects. Meanwhile, "video" involves software and hardware primarily designed to process video by filtering, pre- and post-processing, encoding and decoding, and ultimately displaying good moving pictures on a screen. Nonetheless the connection remained shaky in my mind until I sat down with Bruce Tannenbaum, a MathWorks engineer who specializes in image processing and test & measurement applications. We started talking about embedded vision, one of the hottest topics in the embedded system industry in recent years. It was Tannenbaum who connected the dots for me on video and vision, first on a personal level. More

More Articles

Texas Instruments' Multicore DSPs: Evaluation Modules Promise Embedded Vision Implementation Ease

Samsung and Google's Galaxy Nexus: A Facial Recognition Work in Progress

Samsung's Smart TVs: Here Come the Gesture Interface APIs

Face.com's Acquisition: Good For Facebook, Not So Much For Broader Facial Recognition Industry Ambitions

YouTube's Face Detection-Based Blurring: Digital Protection from Those Intent on Harming

More News