Embedded Vision Insights: July 14, 2015 Edition

Dear Colleague,

'The stream of outstanding video content from May's Embedded Vision Summit continues! Check out, for example, "Designing and Selecting Instruction Sets for Vision," a highly rated presentation by processor design expert and Cadence Fellow Chris Rowen. Chris' talk serves as a guide on how to dissect a suite of applications, extract the key computational and memory requirements, and select processor instruction set and memory organization for optimal vision processing.

Take a look, too, at "The Evolution of Object Recognition in Embedded Systems," presented by CEVA's Moshe Shahar, Director of System Architecture. Moshe explores how techniques for object recognition have evolved, with particular emphasis on algorithms and implementation techniques that enable robust recognition in power- and cost-constrained devices. And don't forget to audition "Developing High-Performance, Energy-Efficient Vision Solutions Using Open-Standard Libraries and APIs," from Mostafa Hagog, an Architect at Intel. Mostafa explores how open standard libraries and APIs can be used to speed application development while minimizing loss of performance and energy efficiency—or in some cases, even improving them.

We've also just published another presentation from May's Embedded Vision Alliance Member Meeting. In "Leveraging Computer Vision and Machine Learning to Power the Visual Commerce Revolution," Satya Mallick, Co-Founder of Sight Commerce, explains how  how his company is using vision to enable retailers like Bloomingdale’s to create more engaging, personalized shopping experiences. Sayta is also the founder of the "Learn OpenCV" tutorial site that I wrote about several months back.

And while you're on the Alliance website, make sure to check out all the other great content recently published there. Note, for example, the newly added "Hot Industry Topics" section of the home page, which lists (and links to) the top computer vision articles discussed on social media over the past week, as measured by Alliance member company Argus Insights. 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

"Designing a Consumer Panoramic Camcorder Using Embedded Vision," a Presentation from Paul Alioshin of CENTR
Paul Alioshin, Chief Technology Officer at CENTR, delivers a presentation at the May 2014 Embedded Vision Alliance Member Meeting. CENTR is a compact, water-resistant camera that creates 360-degree 4K-resolution video footage in real time, dynamically stitching together the images captured by four image sensors. For more information, check out the technical article "CENTR: An Embedded Vision Case Study Winner".

Texas Instruments Demonstrations of TDA3x-Based ADAS Applications
Brooke Williams, Business Manager of the Automotive ADAS Business Unit at Texas Instruments, demonstrates the company's latest embedded vision technologies and products at the January 2015 Consumer Electronics Show. Specifically, Williams demonstrates a variety of ADAS applications running on the company's TDA3x SoCs.

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Sorting Out Embedded Vision Systems
Papers at this year’s Embedded Vision Summit suggested the vast range of ways that embedded systems can employ focused light as an input, and the even vaster range of algorithms and hardware implementations they require to render that input useful. Applications range from simple, static machine vision to classification and interpretation of real-time, multi-camera video. And hardware can range from microcontrollers to purpose-built supercomputers and arrays of neural-network emulators. Perhaps surprisingly, most of the systems across this wide spectrum of requirements and implementations can be described as segments of a single processing pipeline. The individual stages are easy to describe, if not easy to implement. More

245 Million Video Surveillance Cameras Installed Globally In 2014
According to IHS, there were 245 million professionally installed video surveillance cameras active and operational globally in 2014. While the majority of these cameras were analog, over 20 percent are estimated to have been network cameras and around two percent HD CCTV cameras. The analysis was driven from ten years of unit shipment data collected for IHS' video surveillance research. IHS estimated the service life of cameras in each sub-region by end-user industry to size the current installed base. More

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