The Embedded Vision Summit was held on May 29, 2014 in Santa Clara, California, as a technical educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The program for the event included the following presentations, whose PDF-formatted foilsets are available for download as a… May 2014 Embedded Vision Summit […]
May 2014 Embedded Vision Summit Proceedings Read More +
In this edition of Embedded Vision Insights: In Two Weeks: The Embedded Vision Summit From Planetary Exploration to Consumer Devices 360-Degree Panorama Photography Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Two weeks from today, my colleagues at the Embedded Vision Alliance and I will kick off the next, and biggest and
Embedded Vision Insights: May 15, 2014 Edition Read More +
Computational photography is, as a recently published contributed article points out, one of the most visible current examples of embedded vision processing for the masses. And panorama "stitching", the ability to combine multiple horizontally- and vertically-captured frames into one higher-resolution image, is one of the most common computational photography features. Most of today's panorama stitching
CENTR: An Embedded Vision Case Study Winner Read More +
For decades, computer vision technology was found mainly in university laboratories and a few niche applications. Today, virtually every tablet and smartphone is capable of sophisticated vision functions such as hand gesture recognition, face recognition, gaze tracking, and object recognition. These capabilities are being used to enable new types of applications, user interfaces, and use
Embedded Vision: Enabling Smarter Mobile Apps and Devices Read More +
This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Everybody hates driving through cross-town traffic. This week, Google said they’re doing something about it, announcing that they’ve shifted the focus of their Self-Driving Car Project from cruising down freeways to mastering city streets. The blog post, by
Why the Future of Self-Driving Cars Depends on Visual Computing Read More +
Larry Matthies, Supervisor of the Computer Vision Group at NASA's Jet Propulsion Laboratory, delivers the technology presentation, "Vision-Based Navigation Applications: From Planetary Exploration to Consumer Devices," at the March 2014 Embedded Vision Alliance Member Meeting. Dr. Matthies is a Senior Research Scientist at JPL and is the Supervisor of the Computer Vision Group in the
In this edition of Embedded Vision Insights: Vision Processing on Mobile Devices Developing Low-Cost, Low-Power, Small Vision Systems Augmented Reality: A Compelling Opportunity Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, There’s been quite a burst of interesting news lately about vision technology being used in mobile devices, a topic which has
Embedded Vision Insights: April 24, 2014 Edition Read More +
This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Today’s crowded urban centers are, more than ever, a mine field for drivers. It’s not just that there are more pedestrians on the streets; many of them are staring at or talking on their mobile devices as they
Anything But Pedestrian: How GPU-Powered Brains Can Help Cars Keep People Safe Read More +
This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Although augmented reality was first proposed and crudely demonstrated nearly fifty years ago, its implementation was until recently only possible on bulky and expensive computers. Nowadays, however, the fast, low power and cost-effective processors and high
Augmented Reality: A Compelling Mobile Embedded Vision Opportunity Read More +
This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Adobe, Baidu, Netflix, Yandex. Some of the biggest names in social media and cloud computing use NVIDIA CUDA-based GPU accelerators to provide seemingly magical search, intelligent image analysis and personalized movie recommendations, based on a technology called advanced
What’s Machine Learning? Thanks to GPU Accelerators, You’re Already Soaking In It Read More +
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.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
