Embedded Vision Insights: October 10, 2012 Edition

Dear Colleague,

The premier Embedded Vision Summit was three weeks ago, attended by more than 160 audience members, the vast majority of whom stuck around for the entire conference. Embedded Vision Alliance representatives also supported multiple activities the prior day, as well as the quarterly Embedded Vision Alliance Member Summit the next day. And I'm delighted to report that attendees of the various events passed along overwhelmingly positive feedback in their reviews.

If you weren't able to be in Boston, Massachusetts for the Embedded Vision Summit on September 19, or if you were in attendance but would like to refresh your memories, feel free to head to the Embedded Vision Academy section of the website, where you'll already find the first three published videos from the event. They are the keynotes from Professor Rosalind Picard of MIT and from Gary Bradski of the OpenCV Foundation, along with Alliance Founder Jeff Bier's introductory talk on embedded vision.

In the Academy, you'll also find an archive of all of the presentations delivered that day. And additional video and other Summit content will continue to appear on the site in the coming weeks. Keep an eye out on the Alliance's various social media channels for publication alerts: RSS, LinkedIn, Twitter, and Facebook.

Thank you as always for your support of the Embedded Vision Alliance, and for your interest in and contributions to embedded vision technologies, products and applications. I'm always open to your feedback on how the Alliance can do a better job of servicing your needs; don't be shy about emailing me!

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance

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 & Communication Technology Initiative at MIT. She is also co-founder, chief scientist and chairman of Affectiva, Inc., making technology to help measure and communicate emotion.

Intelligent System Innovations for Embedded Vision
Texas Instruments discusses intelligent systems and the ongoing semiconductor and associated software improvements that will be necessary to address evolving application needs. Intelligent systems "take lots of data, process it, and produce action without or with little human intervention," as the spokesperson explains. Embedded vision-based intelligent systems applications that are specifically showcased in the video include robotics and ADAS (advanced driver assistance systems).

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Envisioning the Future: Embedded Vision Lunges Forward
With the incredible processing power available today – particularly when you consider the massive acceleration possibilities with devices like FPGAs and GPUs – real embedded vision becomes a realistic possibility. Making that possibility into reality, however, is an enormous task, requiring collaboration from dozens of companies and academia. When we talk about embedded vision, we're not talking about just bolting a camera onto your embedded system. Devices that simply capture, reformat, record, or transmit video don't count. In order to count for our purposes here, your system needs to actually understand what it's seeing and do something useful with that information. When it comes to problem complexity, that's a whole 'nother kettle of fish. More

The Middle East – Tipped in Favour of Network Video Surveillance Equipment
IMS Research estimates that the tipping point when network video surveillance sales overtake analogue video surveillance sales has already happened in the Middle East. Its recently published report on this market, estimates that network video surveillance equipment accounted for 53% of video surveillance equipment in 2011. More

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