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 +
This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Researchers have been able to advance computerized object recognition to once unfathomable levels, thanks to GPUs. Building on the work of neural network pioneers Kunihiko Fukushima and Yann LeCun – and more recent efforts by teams at the
How GPUs Help Computers Understand What They’re Seeing Read More +
In this edition of Embedded Vision Insights: Recent Presentation Videos, Upcoming Presentation Plans Feature Tracking Attributes and Implementation Specifics Automatic License Plate Recognition Applications Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I’m pleased to report that videos of three interesting presentations from the recent Embedded Vision Alliance Member Meeting are now
Embedded Vision Insights: April 10, 2014 Edition Read More +
Neil Trevett, President of Khronos and Vice President at NVIDIA, delivers the standards presentation, "Recent Developments in Khronos Standards for Embedded Vision," at the March 2014 Embedded Vision Alliance Member Meeting.
In this edition of Embedded Vision Insights: Technical Talks and Workshops Depth Perception via Stereo Vision Perimeter and Rail Security Trends Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Preparations for the May 29th Embedded Vision Summit West in Santa Clara are progressing rapidly. We're pleased to announce
Embedded Vision Insights: March 27, 2014 Edition Read More +
Do you want to write your own blazing fast, interactive mobile apps using computer vision technology? Apps that can make your camera smarter, find people's faces, understand their gestures, interpret scenes and augment them with graphics? The Tegra super chip and the OpenCV for Tegra library can help you to do just that! OpenCV for
Introduction to OpenCV for Tegra Read More +
There is a growing need for fast and power-efficient computer vision on embedded devices. This session will focus on computer vision capabilities on embedded platforms available to ADAS developers, covering the OpenCV CUDA implementation and the new computer vision standard, OpenVX. In addition, Itseez traffic sign detection will be showcased. The algorithm is capable of
Real-Time Traffic Sign Recognition on Mobile Processors Read More +
OpenCV is a free library for research and commercial purposes that includes hundreds of optimized computer vision and image processing algorithms. NVIDIA and Itseez have optimized many OpenCV functions using CUDA on desktop machines equipped with NVIDIA GPUs. These functions are 5 to 100 times faster in wall-clock time compared to their CPU counterparts. Anatoly
Getting Started With GPU-Accelerated Computer Vision Using OpenCV and CUDA 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.
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