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Visual Intelligence Gives Robotic Systems Spatial Sense

This article is an expanded version of one originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. In order for robots to meaningfully interact with objects around them as well as move about their environments, they must be able to see and discern their surroundings. Cost-effective […]

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Embedded Vision Insights: November 12, 2013 Edition

In this edition of Embedded Vision Insights: New Embedded Vision Alliance Website Content Augmented Reality Opportunities and Challenges Video Surveillance Camera and Analytics Trends Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, In the late October edition of Embedded Vision Insights, I wrote, "Additional content from the Embedded

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Kinect 2.0 for the Xbox One: Here It Comes (In Less Than Two Weeks)

Back in July, I mentioned that the upcoming "Kinect 2.0" peripheral for the next-generation Xbox One would implementation-transition from the structured light technology used in its first-generation Kinect precursor to a time-of-flight approach. One thing I didn't explicitly note back then was that unlike with the Xbox 360, for which Kinect 1.0 was an optional

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Research Note: Video Moving into the Perimeter Security Segment

Video surveillance cameras and analytics continue to be pushed out toward the perimeter at a high rate and are becoming an integral part of electronic perimeter security solutions.  According to a recent report published by IHS (NYSE:IHS), the global market for intelligent devices in perimeter security applications is forecast to top $200 million in 2013.

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October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical

Michael Tusch, Founder and CEO of Apical Imaging, presents the "Better Image Understanding Through Better Sensor Understanding" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. One of the main barriers to widespread use of embedded vision is its reliability. For example, systems which detect

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April 2013 Embedded Vision Summit Technical Presentation: “Porting Applications to High-Performance Imaging DSPs,” Chris Rowen, Cadence

Chris Rowen, Fellow at Cadence and Founder of Tensilica, presents the "Porting Applications to High-Performance Imaging DSPs" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. Rowen discusses the challenges of porting and tuning applications to a high-performance imaging DSP.  An imaging-specific DSP can make a

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October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys

Tom Michiels, R&D Manager at Synopsys, presents the "Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. Pedestrian detection is an important function in a wide range of applications, including automotive safety systems, mobile applications, and industrial automation. A

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September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI

Eric Gregori, Senior Software Engineer at BDTI, presents the "Accelerating Computer Vision Applications with the Hexagon DSP" tutorial at the September 2013 Qualcomm UPLINQ Conference. Smartphones, tablets and embedded systems increasingly use sophisticated vision algorithms to deliver capabilities like augmented reality and gesture user interfaces. Since vision algorithms are computationally demanding, a key challenge when

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