Embedded Vision Insights: September 10, 2015 Edition

Dear Colleague,

I’m excited to tell you about more great new video presentations from the recent Embedded Vision Summit. In "Using Vision to Create Smarter Consumer Devices with Improved Privacy," for example, Michael Tusch, CEO of Apical, explores what types of visual intelligence are currently feasible in consumer devices, and how this situation will evolve in the future. John Feland, CEO of Argus Insights, also focuses on the consumer segment in his talk "Overcoming Barriers to Consumer Adoption of Vision-enabled Products and Services," where he investigates the best and worst embedded vision implementations as described by real users, based on analysis of social media data.

Also make sure to check out "Trade-offs in Implementing Deep Neural Networks on FPGAs," by Nagesh Gupta, Founder of Auviz Systems, who presents alternative implementations of 3D convolutions on FPGAs and discusses tradeoffs among them. Simon Morris, CEO of CogniVue, provides an overview of vision-based ADAS in his presentation "Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems." And in "OpenCV for Embedded: Lessons Learned," Itseez Principal Engineer Yury Gorbachev provides insights into using the popular OpenCV library in embedded systems.

While you're on the Alliance website, make sure to check out all the other great content recently published there. And for timely notification of the publication of new content, 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. I welcome your suggestions on what the Alliance can do to better service your needs.

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance

"Creating Smarter, More Interactive Apps and Systems with Computer Vision," a Presentation from the Embedded Vision Alliance
Thanks to improvements in processors, image sensors, and algorithms, more and more of our devices now, for the first time, are gaining the ability to see and understand the world around them. In this talk from the June 2015 Augmented World Expo, Jeff Bier (Founder of the Embedded Vision Alliance) highlights the opportunities for creating more intelligent, interactive and insightful apps and products by harnessing embedded vision technology. From consumer electronics to smartphones to smart glasses to retail and industrial applications, vision technology enables new types of interactivity, new types of insights (for example, assessing the emotional state of users) and new types of experiences. Jeff highlights some of the coolest new products and apps leveraging vision technology, and explores some of the key trends and challenges associated with this technology.

Basler's Thies Möller Explains How a Digital Industrial Camera Works
How do digital industrial cameras work and how were they developed? Learn all about it in this Basler Vision Campus video. Basler's Thies Möller discusses the historical background and components of a digital industrial camera, as well as why these cameras are so important in our day-to-day lives. Möller, one of the authors of Basler’s blog, walks you through the basics of digital industrial cameras. He is a Technical Architect in Basler’s Research and Development Department.

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A Handy List of Automotive ADAS Acronyms
The field of vision-based automotive ADAS solutions is growing rapidly. Many systems are already on the market, and even more are in development. To help you navigate the many acronyms in use, videantis' Vice President of Marketing Marco Jacobs has compiled a helpful list of definitions, in this article originally published on the company's website. More

The Visual Computing Market Is Projected To Be Worth $22.02 Billion By 2020
According to a new market research report published by Markets & Markets, the visual computing market is expected to reach $22.02 Billion by 2020, at a CAGR of 22.59% between 2015 and 2020. Visual computing aims to enable a user control and interact with activities through the manipulation of real or virtual objects, including the representations of non-visual objects. It covers a plethora of computer science applications, such as visualization, graphics and animation technology, image and video processing, and multimedia interaction and communication. More

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