In this edition of Embedded Vision Insights: Embedded Vision Alliance Member Meeting Videos Heterogeneous Computing for Vision Smart Security in the Home Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I'm pleased to announce that the invited talks from the September 2014 Embedded Vision Alliance member meeting are now published on the […]
Embedded Vision Insights: October 21, 2014 Edition Read More +
Linley Gwennap, founder and principal analyst of The Linley Group, delivers the presentation "Processors for Embedded Vision: Technology and Market Trends" at the September 2014 Embedded Vision Alliance Member Meeting.
Dr. Ren Wu, Distinguished Scientist at Baidu, delivers the presentation "Harnessing Heterogeneous Computing for Cloud- and Mobile-Based Visual Search" at the September 2014 Embedded Vision Alliance Member Meeting. As China's leading search engine, Baidu's focus is not only on indexing website text but also multimedia content, such as audio files, still images and video clips.
Mel Spiese, Vice President of Training Strategy and Effectiveness at Cubic, delivers the presentation "Harnessing Embedded Vision for Defense and Transportation Systems" at the September 2014 Embedded Vision Alliance Member Meeting. Mel discusses why the company has placed high priority on accelerating its use of vision technology.
Scott Krig, author of the book "Computer Vision Metrics: Survey, Taxonomy, and Analysis," delivers the presentation "Introduction to Feature Descriptors in Vision: From Haar to SIFT" at the September 2014 Embedded Vision Alliance Member Meeting.
Matt Bell, Co-Founder and Chief Strategy Officer at Matterport, delivers the presentation "Enabling New Capabilities for Business With Low-Cost 3D Vision" at the September 2014 Embedded Vision Alliance Member Meeting. Matt discloses how his innovative start-up is using low-cost 3D imaging to bring value to multiple industries.
In this edition of Embedded Vision Insights: Advanced Driver Assistance Systems (ADAS) Feature Detection Concepts and Implementations More ADAS Information Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Advanced driver assistance systems (ADAS) are, as I’m sure any of you who’ve followed computer vision applications will agree, one of the fastest growing
Embedded Vision Insights: October 7, 2014 Edition Read More +
This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras located in a vehicle's interior, coupled with cost-effective and power-efficient processors, can deliver abundant benefits to drivers and passengers alike. By Brian Dipert Editor-in-Chief Embedded Vision Alliance Tom Wilson Vice President, Business Development
Smart In-Vehicle Cameras Increase Driver and Passenger Safety Read More +
This article was originally published at NVIDIA's developer blog. It is reprinted here with the permission of NVIDIA. By Larry Brown Solution Architect, NVIDIA Machine Learning (ML) has its origins in the field of Artificial Intelligence, which started out decades ago with the lofty goals of creating a computer that could do any work a
Accelerate Machine Learning with the cuDNN Deep Neural Network Library Read More +
This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. By Bob Siller Senior Strategic Marketing Manager, Automotive Altera In the race to develop reliable and cost-effective advanced driver assistance systems (ADAS), designers are presented with challenges to integrate functionality, develop scalable platforms and
Complex Trends and Challenges in Designing ADAS Systems 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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