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October 2013 Embedded Vision Summit Technical Presentation: “Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision,” Tom Wilson, CogniVue

Tom Wilson, Vice President of Business Development at CogniVue, presents the "Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. The ability to detect and determine the position of objects in 3D is important for many […]

October 2013 Embedded Vision Summit Technical Presentation: “Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision,” Tom Wilson, CogniVue Read More +

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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 on Mobile Devices: Opportunities and Challenges

by Tom Wilson CogniVue Brian Dipert Embedded Vision Alliance This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Courtesy of service provider subsidies coupled with high shipment volumes, relatively inexpensive smartphones and tablets supply formidable processing capabilities: multi-core GHz-plus CPUs and graphics processors, on-chip DSPs

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April 2013 Embedded Vision Summit Technical Presentation: “Developing Low-Cost, Low-Power, Small Vision Systems,” Simon Morris, CogniVue

Simon Morris, CEO of CogniVue, presents the "Developing Low-Cost, Low-Power, Small Vision Systems" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit.ebsite.

April 2013 Embedded Vision Summit Technical Presentation: “Developing Low-Cost, Low-Power, Small Vision Systems,” Simon Morris, CogniVue Read More +

The Gesture Interface: A Compelling Competitive Advantage in the Technology Race

By Brian Dipert Senior Analyst, BDTI Editor-in-Chief, Embedded Vision Alliance Yair Siegel Director of Marketing, Multimedia, CEVA Simon Morris Chief Executive Officer, CogniVue Liat Rostock Marketing Director, eyeSight Mobile Technologies Gershom Kutliroff Chief Technical Officer, Omek Interactive This article was originally published at EE Times' Communications Design Line. It is reprinted here with the permission

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September 2012 Embedded Vision Summit Panel: Avnet, CogniVue, and Synopsys

Jeff Bier, Embedded Vision Alliance Founder, moderates a discussion panel comprised of the presenters in the "Embedded Vision Applications and Algorithms" technical session at the September 2012 Embedded Vision Summit; Mario Bergeron from Avnet, Simon Morris from CogniVue, and Bo Wu from Synopsys. The panelists discuss topics such as the ability to derive depth approximation

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September 2012 Embedded Vision Summit Presentation: “Challenges and Techniques in Low-Cost, Low-Power, Small Form Factor Vision Applications,” Simon Morris, CogniVue

Simon Morris, CEO at CogniVue, presents the "Challenges and Techniques in Low-Cost, Low-Power, Small Form Factor Vision Applications" tutorial within the "Using Tools, APIs and Design Techniques for Embedded Vision" technical session at the September 2012 Embedded Vision Summit. Morris discusses the multiple stages in the development of a smart rear-view camera application performing vision-based

September 2012 Embedded Vision Summit Presentation: “Challenges and Techniques in Low-Cost, Low-Power, Small Form Factor Vision Applications,” Simon Morris, CogniVue Read More +

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Smart Enhanced Back-Up Camera (SmartEBC) for CV220X Image Cognition Processors

By Tina Jeffrey Program Manager CogniVue This  is a reprint of a CogniVue-published white paper in the company's Knowledge Center, and is also available here (1.2 MB PDF). The CogniVue Smart Enhanced BackUp Camera (SmartEBC) is a revolutionary automotive rear-view camera application that analyzes image data from a single image sensor to track objects in

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20/20 Embedded Vision for Robots

By Alexandra Dopplinger Global Segment Marketing Manager, Freescale Semiconductor and Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published by Electronic Products Magazine. It is reprinted here with the permission of the original publisher. If you order a pair of shoes (or a dozen) from Zappos (the largest online footwear

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