Edge AI and Vision Alliance

“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Nik Gagvani, President and General Manager of CheckVideo, delivers the presentation "Intelligent Video Surveillance: Are We There Yet?" at the September 2016 Embedded Vision Alliance Member Meeting. Gagvani provides an insider's perspective on vision-enabled video surveillance applications.

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“Energy-efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks,” a Presentation from MIT

Vivienne Sze, Assistant Professor at MIT, delivers the presentation "Energy-efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks" at the September 2016 Embedded Vision Alliance Member Meeting. Sze describes the results of her team's recent research on optimized hardware for deep learning. Followup: per Professor Sze, "Slides available at: http://www.rle.mit.edu/eems/wp-content/uploads/2016/07/Sze-Energy-Efficient-Hardware-for-Embedded-Vision-and-Deep-Learning-CVPR-2016-EVW.pdf".

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“Enabling Efficient Heterogeneous Processing Through Coherency,” a Presentation from the HSA Foundation

Dr. John Glossner, President of the HSA Foundation and CEO of GPT-US, delivers the presentation "Enabling Efficient Heterogeneous Processing Through Coherency" at the September 2016 Embedded Vision Alliance Member Meeting. Glossner describes the organization's goals and deliverables for enabling heterogeneous programming.

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EVA180x100

Embedded Vision Insights: October 13, 2016 Edition

FEATURED VIDEOS "Using Vision to Enable Autonomous Land, Sea and Air Vehicles," a Keynote Presentation from NASA JPL Say you’re an autonomous rover and you’ve just landed on Mars. Vexing questions now confront you: “Where am I and how am I moving?” “What obstacles are around me?” “Are the obstacles moving?” “What other objects are

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VisionSystemsDesign

Computer Vision Evolves Towards Ubiquity

This column was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. For most of its history, computer vision was a topic of academic research, gaining its first sizable commercial success in factory automation applications, where it has become an essential technology. Nevertheless, vision has remained a niche

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“What’s Augmented? What’s Reality?,” a Presentation from PTC

Jay Wright, President and General Manager of Vuforia at PTC, delivers the presentation "What's Augmented? What's Reality?" at the September 2016 Embedded Vision Alliance Member Meeting. Wright provides insights on augmented reality markets, applications and technology.

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Samasource

Taking on Poverty with Jobs Created by Machine Learning and Computer Vision

This article was originally published by Embedded Vision Alliance consultant Dave Tokic. It is reprinted here with Tokic's permission. How one non-profit is helping the poorest by enabling cutting edge image search and self-driving cars  1.2 billion people (22 percent) live in extreme poverty on less than $1.25 a day worldwide and about 50% of

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EVA180x100

Embedded Vision Insights: September 27, 2016 Edition

LETTER FROM THE EDITOR Dear Colleague, In the coming months, Embedded Vision Alliance member companies VeriSilicon and Xilinx will deliver several free, hour-long webinars on various computer vision topics, in partnership with the Alliance. On October 19 at 10 am Pacific Time, VeriSilicon will present "Learning at the Speed of Sight," which discusses how the

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Vision Processing Opportunities in Virtual Reality

VR (virtual reality) systems are beginning to incorporate practical computer vision techniques, dramatically improving the user experience as well as reducing system cost. This article provides an overview of embedded vision opportunities in virtual reality systems, such as environmental mapping, gesture interface, and eye tracking, along with implementation details. It also introduces an industry alliance

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Vision Processing Opportunities in Drones

UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation,

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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