Embedded Vision Insights: July 28, 2015 Edition

Dear Colleague,

We have just released another batch of great presentation videos from the recent Embedded Vision Summit. First, make sure to check out the highly rated keynote presentation "Bringing Computer Vision to the Consumer," delivered by Mike Aldred, Electronics Lead at Dyson. The company's 360 Eye robot vacuum cleaner uses computer vision as its primary localization technology. Mike’s talk charts some of the high and lows of the project, the challenges of bridging between academia and business, and how to use a diverse team to take an idea from the lab into real homes.

Next is "Efficient Implementation of Convolutional Neural Networks using OpenCL on FPGAs," presented by Deshanand Singh of Altera. In this talk, Deshanand gives a detailed explanation of how convolutional neural networks (CNN) algorithms, which are becoming increasingly popular in vision applications, can be expressed in OpenCL and compiled directly to FPGA hardware. Also not to be missed is "Understanding Adaptive Machine Learning Vision Algorithms and Implementing Them on GPUs and Heterogeneous Platforms," from Harris Gasparakis of AMD. Harris shows how OpenCL, HSA (Heterogeneous System Architecture) and integrated GPUs enhance the tool kits of vision software developers.

If you’re new to vision technology, be sure to check out "Creating Smarter, More Interactive Apps and Systems with Computer Vision," delivered by Alliance founder Jeff Bier at last month's Augmented World Expo. From consumer electronics to smartphones to smart glasses to retail and industrial applications, vision technology enables new types of interactivity, new types of insights, and new types of experiences. Jeff highlights some of the coolest new products and applications leveraging vision technology, and explores some of the key trends and associated challenges.

And speaking of presentations, please visit the Alliance's new SlideShare channel, where we'll regularly upload new presentations delivered at Embedded Vision Summits and other industry events. Follow us on SlideShare to receive notification of new content uploads. And for timely notification of the publication of content on the Alliance's own website, subscribe to our RSS feed and Facebook, Google+, LinkedIn company and group, and Twitter social media channels. 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. If you have an idea as to how the Alliance can better service your needs, please contact me.

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance

"How to Make the World More Interactive: Augmented Reality as the Interface Between Wearable Tech and the Internet of Things," a Presentation from Ori Inbar of AugmentedReality.org
Ori Inbar, co-founder and CEO of AugmentedReality.org, presents the "How to Make the World More Interactive: Augmented Reality as the Interface Between Wearable Tech and the Internet of Things" tutorial at the May 2014 Embedded Vision Summit. In this talk, Inbar explains how augmented reality, which relies heavily on embedded vision, is transitioning from a bleeding-edge technology embraced mainly by enthusiasts to a mainstream commercial technology with applications in diverse markets ranging from mobile devices to retail point-of-sale systems to enterprise and industrial systems. He also relates the discussion to related trends in wearable computing and the Internet of Things.

NVIDIA Demonstration of its Drive PX ADAS Platform for Object Identification
Mike Houston, Principal Engineer for Mobile and Cloud Computing at NVIDIA, demonstrates the company's latest embedded vision technologies and products at the January 2015 Consumer Electronics Show. Specifically, Houston demonstrates various object identification applications running on the company's Drive PX ADAS platform, based on the Tegra X1 SoC.

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Technology Changes Drive Thermal Camera Market to $500 Million by 2019
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