Embedded Vision Insights: June 7, 2016 Edition

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In this edition of Embedded Vision Insights:

LETTER FROM THE EDITOR

Dear Colleague,Plenary Session

Several additional presentation videos from the Embedded Vision Summit are now available on the Alliance website. In his plenary talk, "Computer Vision 2.0: Where We Are and Where We're Going," Embedded Vision Alliance founder Jeff Bier presents an insider's view of the state of computer vision technology and applications today, along with predicting how the field will evolve in the next few years. Newly added business presentations include:

In his technical presentation "The OpenCV Open Source Computer Vision Library: What’s New and What’s Coming?," Gary Bradski, head of the OpenCV Foundation, provides perspective on the new version of OpenCV and how developers can utilize it to maximum advantage for vision research, prototyping, and product development, as well as offering a sneak peek into where OpenCV is headed next. Make sure you also check out the great Vision Tank competition finalist presentations from 3DiVi, 8tree, Magik Eye, Preemadonna and SKUR. And while you're on the Alliance website, don't forget to review all the other great new content there, including several additional published chapters in ARM's technical manual "Guide to OpenCL Optimizing Convolution," and news releases from Intel (on its acquisition of fellow Alliance member Itseez) and Synopsys (on its new DesignWare EV6 embedded vision processor family).

Thanks as always for your support of the Embedded Vision Alliance, and for your interest in and contributions to embedded vision technologies, products and applications. Please don't hesitate to let me know how the Alliance can better serve your needs.

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance

FEATURED VIDEOS

"Computer Vision Powered by Heterogeneous System Architecture (HSA)," a Presentation from AMDAMD
Harris Gasparakis, Ph.D., OpenCV manager at AMD, presents the "Computer Vision Powered by Heterogeneous System Architecture (HSA)" tutorial at the May 2014 Embedded Vision Summit. Gasparakis reviews the HSA vision and its current incarnation though OpenCL 2.0, and discusses its relevance and advantages for computer vision applications. HSA unifies CPU cores, GPU compute units, and auxiliary co-processors (such as an ISP, DSP, and Video Codecs) on the same die. It enables all IPs to have a unified and coherent view of system memory and enables concurrent processing, allowing the most suitable IP to be used for each vision pipeline task. Gasparakis elucidates this concept with examples (such as multi-resolution optical flow and adaptive deep learning networks) and live demos. Finally, he describes the transparent integration of OpenCL in OpenCV 3.0.

"Assistive Technology for the Visually Impaired," a Presentation from UC Santa CruzUC Santa Cruz
Professor Roberto Manduchi of U.C. Santa Cruz delivers the presentation, "Assistive Technology for the Visually Impaired," at the December 2015 Embedded Vision Alliance Member Meeting. Professor Manduchi explores how embedded vision is being used to assist visually impaired individuals.

More Videos

FEATURED ARTICLES

Efficient Implementation of Neural Network Systems Built on FPGAs, Programmed with OpenCLAltera
Deep learning neural network systems currently provide the best solution to many large computing problems for image recognition and natural language processing. Neural networks are inspired by biological systems, in particular the human brain; they use conventional processing to mimic the neural network and create a system that can learn by observing. While large strides have recently been made in the development of high-performance systems for neural networks based on multi-core technology, significant challenges in power, cost and, performance scaling remain. More

One Sensor to Rule Them AllBDTI
It's no secret that sensors are proliferating, says Embedded Vision Alliance founder (and BDTI president and co-founder) Jeff Bier. Our smartphones, for example, contain accelerometers, magnetometers, ambient light sensors, microphones – over a dozen distinct types of sensors. A modern automobile contains roughly 200 sensors. As sensors proliferate, the amount of data generated by these sensors grows too, of course. But different types of sensors produce vastly different amounts of data. More

More Articles

FEATURED COMMUNITY DISCUSSIONS

Computer Vision Positions at Huawei, Santa Clara, CA

More Community Discussions

FEATURED NEWS

Cadence Announces New Tensilica Vision P6 DSP Targeting Embedded Neural Network Applications

Vision With Precision: An Upcoming Free Webinar from Xilinx

Now On Indiegogo: 3DiVi's VicoVR Body Controller

8tree's dentCHECK and Preemadonna's Nailbot Win Computer Vision Product Innovation Competition

More News

UPCOMING INDUSTRY EVENTS

Sensors Expo: June 21-23, 2016, San Jose, California

Sensors Expo is the only event focused on sensors and sensor-integrated systems. Experience 300+ sensors exhibitors, invaluable networking, and 55+ conference sessions, including one from Embedded Vision Alliance founder Jeff Bier. Use code EMBEDDED50 for conference pass discounts or a free Expo Hall pass.

Sensors Expo

IEEE Computer Vision and Pattern Recognition (CVPR) Conference: June 26-July 1, 2016, Las Vegas, Nevada

IEEE International Conference on Image Processing (ICIP): September 25-28, 2016, Phoenix, Arizona

Embedded Vision Summit: May 1-3, 2017, Santa Clara, California

 

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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