Embedded Vision Insights: August 9, 2012 Edition

Dear Colleague,

The most recent Embedded Vision Alliance Member Summit was only a few weeks ago, yet lots of video content from that event is already flowing onto the Alliance website. Specifically, I'd like to direct your attention to the keynote presentation on OpenCV delivered by Gary Bradski of Industrial Perception and the product demonstration from Summit host Xilinx, both of which are highlighted in the Featured Videos section below. Also recently published to the site is the market trends presentation on video surveillance and security from IMS Research's Jon Cropley, along with product demonstrations from CogniMem Technologies and videantis. The July Summit's technology trends tutorial on OpenCL will be posted to the site shortly, as will be my interview with IMS Research's machine vision expert, John Morse.

I'd also like to draw your attention once again to next month's Embedded Vision Summit in Boston, Massachusetts, which I first mentioned in the previous Embedded Vision Insights newsletter. Free of charge to qualified engineers, and also open to invited press and analysts, the Embedded Vision Summit will provide a technical educational forum for attendees, including how-to presentations, seminars, demonstrations, and opportunities to interact with Alliance member companies.

Keynoted by Professor Rosalind Picard of MIT, a pioneer in the field of affective computing (i.e. systems that discern or influence emotions), the Embedded Vision Summit 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.

Newly added to the main event page is a preliminary agenda. Space is limited, and seats are filling up, so don't delay in registering for this compelling event! Simply send an email to [email protected] to begin the registration process.

These are, I'm sure you agree, exciting times to be an embedded vision industry and Embedded Vision Alliance participant! As always, I welcome your feedback on how the Embedded Vision Alliance can more effectively help you harness the burgeoning and abundant embedded vision opportunities. Thank you 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]

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.

Xilinx Product Demonstration at the July 2012 Embedded Vision Alliance Member Summit
Glenn Steiner, Senior Manager for Processor Technical Marketing, uses a "Pong" demonstration to showcase the merged control plane and data plane applications that are possible using the company's Zynq-7000 Extensible Processing Platform products, at the July 2012 Embedded Vision Alliance Member Summit.

More Videos

Introduction to Embedded Vision and the OpenCV Library
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 from visual inputs. Vision algorithms were originally only capable of being implemented on costly, bulky, power-hungry computer systems, and as a result computer vision has mainly been confined to a few application areas, such as factory automation and military equipment. Today, however, a major transformation is underway. Due to the emergence of very powerful, low-cost, and energy-efficient processors, image sensors, memories and other ICs, it has become possible to incorporate vision capabilities into a wide range of embedded systems. Similarly, OpenCV, a library of computer vision software algorithms originally designed for vision applications and research on PCs has recently expanded to support embedded processors and operating systems. More

The Next Killer App: Machines That See
Do embedded processors shape applications, or is it the other way around? In reality, it works both ways. Applications become feasible on a large scale only after the emergence of processors with adequate performance and sufficiently low prices and power consumption. The growing market attracts competition and investment. Processor vendors then tune their processors for these applications. A few years ago, after nearly two decades of evaluating and using embedded processors for digital-signal-processing-intensive applications, my colleagues and I at BDTI realized that embedded computer vision applications were poised to benefit from the same type of "virtuous circle" that had previously enabled the proliferation of wireless communications and video compression algorithms. More

More Articles

"Kinect" with NASA's Latest Mission: A Mars Rover Landing Simulation

Vision-Superior Robot Trumps Humans at Rock-Paper-Scissors, Ping Pong Balls

Leap Motion: Garnering Software Developer Devotion

Affective Computing: A Free Tutorial's Ready for Your Auditioning

Eye Scanning for Biometrics: Increasingly Unreliable Over Time, and an Image that Mimics

More News