Embedded Vision Insights: June 2, 2015 Edition

Dear Colleague,

Last month's Embedded Vision Summit was by all measures a resounding success. With 50% more attendees, presentations and demonstrations than the 2014 event, the Summit's rapid growth paced that of the burgeoning embedded vision market it serves. Everyone I spoke with gave the Summit enthusiastic reviews.

If you'd like to reinforce what you learned at the Summit, or see what you missed, a complete set of presentation slides from the event is now available for free download from the Alliance website (note that you'll need to register and login for access). In the coming weeks, we'll also be publishing a full suite of technical presentation and demonstration videos, whose availability I'll announce in future newsletter editions.  For even more timely updates on their release, along with that of other website content, I encourage you to also subscribe to the website's RSS feed and/or the Alliance's Facebook, Google+, LinkedIn company and group, and Twitter social media channels.

Speaking of vision processing education, I also want to alert you to two upcoming events of interest. The June 8-10 Augmented World Expo will take place at the Santa Clara (California) Convention Center; Alliance Founder Jeff Bier will present there on June 8 at 11:45AM, and discount code AWE15EVS takes $400 off the all-access conference pass price. And on June 18, Alliance founding member Xilinx will offer a free hour-long webinar, "Accelerate Your Machine Vision Systems Design with the Xilinx Smart Vision Development Kit and Silicon Software’s Embedded VisualApplets"; see here for more information and to register.

Thanks for your support of the Embedded Vision Alliance, and for your interest in and contributions to embedded vision technologies, products and applications. As always, I welcome your suggestions on what the Alliance can do to better service your needs.

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance

"Harnessing Heterogeneous Computing for Cloud- and Mobile-Based Visual Search," A Presentation From Baidu
Dr. Ren Wu, Distinguished Scientist at Baidu, delivers the presentation "Harnessing Heterogeneous Computing for Cloud- and Mobile-Based Visual Search" at the September 2014 Embedded Vision Alliance Member Meeting. As China's leading search engine, Baidu's focus is not only on indexing website text but also multimedia content, such as audio files, still images and video clips. It's in these latter areas where computer vision fits in, enabling automated analysis and identification of the various objects embedded within the visual information.

Dr. Ren Wu is a distinguished scientist at Baidu's Institute of Deep Learning (IDL), well known for his pioneering research in using GPUs, FPGAs and other coprocessors to accelerate "big data" analytics, as well as for his contributions to large-scale clustering algorithms via GPUs. Dr. Wu has recently won recognition for his work on Deep Image, Baidu’s image recognition system based on deep learning techniques using convolutional neural networks. Prior to joining Baidu, Dr. Wu served as the chief software architect of Heterogeneous System Architecture (HSA) at AMD. Earlier, he was a senior scientist at HP Labs and the principal researcher at HP Lab's CUDA Research Center.

Imagination Technologies Demonstrations of GPU- and ISP-Accelerated Algorithms
Peter McGuinness, Director of Multimedia Technology Marketing at Imagination Technologies, demonstrates the company's latest embedded vision technologies and products at the January 2015 Consumer Electronics Show. Specifically, McGuinness demonstrates OpenCL-based and GPU-accelerated video tracking and analytics and face detection algorithms, as well as the company's ISP camera framework and PowerVR imaging framework for Android.

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Why Consumer Products Need Computer Vision
A broom and dust pan have served mankind well for thousands of years. Using a fairly simple, back-and-forth sweeping motion learned in childhood, millions of people have effectively cleaned their floors of dirt and debris. But what if you are physically not able (or simply unwilling) to sweep the floor? One goal of computer vision-enabled products, according to Dyson's Electronics Lead Mike Aldred, is to aid humans in accomplishing everyday tasks. Dyson has developed the Dyson 360 Eye robotic vacuum cleaner with a 360 degree camera that uses complex mathematics, probability theory, geometry and trigonometry to clean your home. Vision is the key attribute, and Aldred believes true vision is necessary before people are comfortable with robotics in the home. More

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