Embedded Vision Insights: July 12, 2012 Edition

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In this edition of Embedded Vision Insights:

LETTER FROM THE EDITOR

Dear Colleague,

As I write these words, final preparations are underway for next week's Embedded Vision Alliance Member Summit in Silicon Valley. If you're an Alliance member company representative, I look forward to seeing you again, or to meeting you for the first time if you're from one of the companies who've joined the Alliance since March (including the latest member addition, PointGrab). And for those of you who are part of the broader Embedded Vision Alliance community, I look forward to sharing video content with you after the Alliance Member Summit's conclusion. We plan to "film" the keynote by OpenCV guru Gary Bradski, the market trends presentation on surveillance systems by IMS Research's Jon Cropley, and the technology trends presentation on OpenCL by BDTI's Shehrzad Qureshi.

Several companies also plan to provide product demonstrations at the upcoming Alliance Member Summit, and we intend to "film" them for you, as well. Speaking of which…earlier this week I published demo videos from the March Alliance Member Summit, from Analog Devices, Apical, CEVA, CogniMem Technologies, The MathWorks, National Instruments, Omek Interactive, Texas Instruments, and Xilinx. They're all quite short, only a few minutes' each in length, and quite informative. I commend them to your inspection; you can find them in the Video Interviews & Demos section of the Alliance website.

In addition to wrapping up lingering loose ends ahead of next week's event, I've also been fine-tuning the website. You'll notice the next time you visit, for example, that the Embedded Vision Academy now has its own top-level menu entry at the top of each page, versus being relegated to one in a list of menu options under "About Embedded Vision," as it was initially. I hope that this appropriate elevation of the Academy's visibility will make it easier for you and your industry peers to access the useful content found in this free online training facility for embedded vision product developers. I've also added an extensive page of definitions for various embedded vision terminology; I welcome your feedback both on any terms I may have overlooked and on enhancements to existing terms' names and/or definitions.

And beginning next week, we'll be expanding both the site's press release and upcoming events pages to encompass announcements and activities not only of the Embedded Vision Alliance itself, but also from various Alliance member companies. More generally, as always, please let me know how the Embedded Vision Alliance website and other resources can more effectively address your needs. 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

FEATURED VIDEOS

Adding Precise Finger Gesture Recognition Capabilities to the Microsoft Kinect
CogniMem Technologies' Chris McCormick, application engineer, demonstrates how the addition of general-purpose and scalable pattern recognition can be used to bring enhanced gesture control to the Microsoft Kinect. Envisioned applications include augmenting or eliminating the TV remote control, translating American Sign Language to text, and expanding the game-playing experience.

Circular Traffic Sign Recognition on a 500 MHz Texas Instruments DM6437 EVM Board
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 the set of European speed-limit signs. A version of this video with a Chinese language audio track is also available.

More Videos

FEATURED ARTICLES

Smart Enhanced Back-Up Camera for CV220X Image Cognition Processors
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 the scene, and perform feature detection and distance estimation of the nearest obstacle to the rear of the vehicle. SmartEBC executes on CogniVue’s CV220X family of SoC devices utilizing its patented APEX parallel processing technology. SmartEBC augments the functionality of traditional backup camera products with the ability to algorithmically interpret the scene by detecting objects behind a vehicle when in reverse, and alert the driver with critical real-time information to avoid a collision. More

Reality Fighters for PS Vita Only a Taste of the Potential for Augmented Reality
As more and more consumer electronics devices incorporate cameras, embedded vision applications are set to change the way consumers interact with their devices. Augmented reality is one of the most interesting applications, with Sony’s recent release of the game Reality Fighters for the PS Vita portable gaming platform providing a small example of the potential for this rapidly-growing technology. More

More Articles

FEATURED NEWS

TI and Biometrics: A DSP Development Kit Purports to Make Implementation a Breeze

CEVA and eyeSight: A Silicon-Plus-Software Gesture Interface Combination Done Right and A Webcast Archive That You Can Access Day or Night

Omek Interactive's Beckon: Gesture Interfaces Now On the Texas Instruments-Based BeagleBoard-xM

Samsung's Galaxy S III: A Smartphone That Takes Embedded Vision Seriously

Quadrotors And Other Drones: Gesture Interfaces Send Them Off And Bring Them Home

The Next-Generation Microsoft Kinect: Inching Ever Closer To Perfect?

More News

 

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