Edge AI and Vision Alliance

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Embedded Vision Insights: November 8, 2016 Edition

Edge AI and Vision Alliance, Newsletters /

FEATURED VIDEOS "Implementing Eye Tracking for Medical, Automotive and Headset Applications," a Presentation from Xilinx and EyeTech Digital Systems When humans communicate with each other, we get important cues from watching each other’s eyes. Similarly, machines can gain valuable information and new capabilities by detecting and tracking users’ gazes. Robust eye tracking was once limited […]

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Embedded Vision Insights: October 25, 2016 Edition

Edge AI and Vision Alliance, Newsletters /

FEATURED VIDEOS "Low-power Embedded Vision: A Face Tracker Case Study," a Presentation from Synopsys The ability to reliably detect and track individual objects or people has numerous applications, for example in the video-surveillance and home entertainment fields. While this has proven to be a challenging problem, recent years have brought higher performance solutions such as

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

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Videos /

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

Algorithms, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

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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Embedded Vision Insights: October 13, 2016 Edition

Edge AI and Vision Alliance, Newsletters /

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

Articles, Edge AI and Vision Alliance, Technical Articles /

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

Algorithms, Augmented Reality, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools, Videos /

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

Articles, Edge AI and Vision Alliance, Samasource, Technical Articles /

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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Embedded Vision Insights: September 27, 2016 Edition

Edge AI and Vision Alliance, Newsletters /

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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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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