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Embedded Vision Insights: February 10, 2015 Edition

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In this edition of Embedded Vision Insights:

LETTER FROM THE EDITOR

Dear Colleague,Embedded Vision Summit

A month ago, I directed your attention to the just-launched "microsite" for the upcoming Embedded Vision Summit, a technical educational forum for engineers interested in incorporating visual intelligence into electronic systems and software, taking place on May 12, 2015 in Santa Clara, California. Now I'm happy to report that details on the two scheduled Summit keynote speakers have been published.

Dr. Ren Wu is a distinguished scientist at Baidu's Institute of Deep Learning (IDL). As China's leading search engine, Baidu's focus is not only on indexing website text but also multimedia content, such as 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. Wu will discuss how his team is leveraging "deep learning" convolutional neural network techniques, along with heterogeneous computing acceleration, to optimize image search speed and accuracy.

Mike Aldred, the other scheduled Summit keynote presenter, is the Electronics Lead at Dyson. After obtaining a Ph.D. in Robotics at the University of Kent, Canterbury, Mike joined Dyson when his research group was hired to help the company develop a robotic vacuum cleaner prototype. His fifteen-year career in design and management has led to the recently introduced 360 Eye, which as its name implies relies extensively on embedded vision processing to deliver robust autonomous room-navigation capabilities. For a demonstration of the 360 Eye in action, see the company's promo video showcased on the Alliance website's "Eye-Catching Clips" page. Mike's talk will focus on how to robustly and cost-effectively add vision processing capabilities to consumer electronics devices.

Speaking of conferences, I'd also like to direct your attention to several other upcoming events with a practical computer vision angle. March 9-11 in Santa Clara, California is the Wearables TechCon. Later that same month, and one city away in San Jose, is NVIDIA's GTC (GPU Technology Conference). And at the end of March, in Chicago, Illinois, the AIA will be putting on the Automate show. See the Alliance's news writeups for more details, including registration discount codes. And while you're on the Alliance website, check out all the other great new content recently published there. 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

"Consumer Adoption of Embedded Vision in the Internet of Things: What Works and What Frustrates," an Embedded VIsion Alliance Member Meeting Presentation from John Feland of Argus InsightsArgus Insights
John Feland, Founder and CEO of Argus Insights, delivers the presentation "Consumer Adoption of Embedded Vision in the Internet of Things: What Works and What Frustrates" at the December 2014 Embedded Vision Alliance Member Meeting. John shares new market research on successes and failures in consumer surveillance systems.


Videantis Demonstration of its Vision Processor IP TechnologyVideantis
Marco Jacobs, Vice President of Marketing at videantis, demonstrates the company's latest vision technologies and products at the December 2014 Embedded Vision Alliance Member Meeting. Videantis' demonstration examples include structure from motion and pedestrian detection algorithms, both implemented in ADAS applications.

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FEATURED ARTICLES

The Internet of Things That SeeVision in IoT Applications
The "Internet of Things" (abbreviated IoT), one of the hottest topics in technology today, is widely anticipated to be a notable driver of both semiconductor and software demand in coming years. Key to an understanding of the IoT opportunity is its machine-to-machine aspect. Content generated at the source end of the IoT communication link is created by a computer or other machine in conjunction with various sensor technologies, not by a human. Similarly, while people may be on the IoT data distribution list, the information is primarily received, interpreted and acted on by other machines. One noteworthy example of a sensor technology is the image sensor, i.e. camera, which with an associated processor is increasingly employed in a diversity of applications. More

Door Phone Market Worth an Estimated $2.3 Billion in 2014IHS
The world market for audio and video door phones was estimated to be worth $2.3 billion in 2014, an increase of $100 million from 2013, according to a new report from IHS. The audio and video door phone market consists of indoor units, outdoor units, accessories, and villa kits. The main technology trends currently affecting the market are video door phone integration with home automation systems, increased use of IP systems, and increased use of larger screen sizes with touchscreen functionality. More

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FEATURED NEWS

The National Library of Medicine Announces a Pill Image Recognition Request for Information

CEVA, Inc. Announces Fourth Quarter and 2014 Financial Results

NVIDIA Launches Tegra X1 Mobile Super Chip

Audi Selects Altera SoC FPGA for Production Vehicles with "Piloted Driving" Capability

Videantis Becomes Member of German Automotive Cluster

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