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“Computer Vision in Cars: Status, Challenges, and Trends,” a Presentation from videantis

Algorithms, Automotive, Processors, Sensors and Cameras, videantis, Videos /

Marco Jacobs, Vice President of Marketing at videantis, presents the "Computer Vision in Cars: Status, Challenges, and Trends" tutorial at the May 2016 Embedded Vision Summit. Just as horse carriages were replaced by cars in the 1920s, human operators in our cars will be replaced by electronics in the 2020s. The benefits are tremendous: self-driving […]

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Is the Future of Machine Vision Already Here? Business Insights from the 2016 Embedded Vision Summit

Articles, Edge AI and Vision Alliance, Technical Articles /

This article was originally published by Embedded Vision Alliance consultant Dave Tokic. It is reprinted here with Tokic's permission. My biggest “aha moment” out of many during the Embedded Vision Summit 2016 came right at the beginning. I was a front row participant as moderator of the 2-day Business Insights track and have been closely

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Embedded Vision Insights: May 24, 2016 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: New Embedded Vision Summit Content Recognition and Classification in Augmented Reality Deep Learning and Computer Vision Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, I’m happy to announce the first two (of what will end up being more

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“Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras,” a Presentation from NVIDIA

Algorithms, NVIDIA, Processors, Sensors and Cameras, Software, Tools, Videos /

Orazio Gallo, Senior Research Scientist at NVIDIA, presents the "Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras" tutorial at the May 2016 Embedded Vision Summit. Today's digital cameras, even at the entry-level, produce pictures with quality comparable to that of high-end cameras of a decade ago. Image processing and computational photography algorithms play

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“Large-Scale Deep Learning for Building Intelligent Computer Systems,” a Keynote Presentation from Google

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

Jeff Dean, Senior Fellow at Google, presents the "Large-Scale Deep Learning for Building Intelligent Computer Systems" keynote at the May 2016 Embedded Vision Summit. Over the past few years, Google has built two generations of large-scale computer systems for training neural networks, and then applied these systems to a wide variety of research problems that

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May 2016 Embedded Vision Summit Proceedings

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Biometrics, Downloads, Edge AI and Vision Alliance, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Sensors and Cameras, Software, Tools /

The Embedded Vision Summit was held on May 2-4, 2016 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations presented at the Summit are listed below. All of the slides from these presentations are included in… May 2016 Embedded Vision Summit

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Embedded Vision Insights: April 26, 2016 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: Less Than a Week Until the Embedded Vision Summit Open Standard APIs for Vision Processing Writing OpenCL Kernels for GPUs Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, It’s almost here…the Embedded Vision Summit — the only conference

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“Techniques for Efficient Implementation of Deep Neural Networks,” a Presentation from Stanford

Algorithms, Biometrics, Edge AI and Vision Alliance, Emotion Discernment, Face Recognition, Gesture Control, Object Identification, Object Tracking, Optical Character Recognition, Videos /

Song Han, graduate student at Stanford, delivers the presentation "Techniques for Efficient Implementation of Deep Neural Networks" at the March 2016 Embedded Vision Alliance Member Meeting. Song presents recent findings on techniques for the efficient implementation of deep neural networks.

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Movidius Brings Artificial Vision Intelligence to FLIR Systems’ Latest Thermal Imaging Product

FLIR Systems, Intel, News /

FLIR's New Boson™ Thermal Camera Core to Feature Onboard Visual Intelligence Computing Through Custom Implementation of Myriad 2 VPU SAN MATEO, CA–(Marketwired – Apr 18, 2016) – Movidius, the leader in low-power machine vision, today announced a strategic collaboration with FLIR Systems, a global leader in thermal imaging technology, to bring advanced computer vision capabilities

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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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