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.
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 is a reprint of a Xilinx white paper also found here (PDF). Xilinx and its Alliance partner Sensor to Image have created hardware, software, IP, and whole turn-key system solutions for the growing high-performance Machine Vision market. By Mark Timmons Xilinx, Inc. and Werner Feith Sensor to Image, GmbH Abstract The Machine Vision market
High-Performance Machine Vision Systems Using Xilinx 7 Series Technology Read More +
A version of this article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. Moving beyond the research lab, embedded vision is rapidly augmenting traditional law enforcement techniques in real world surveillance settings. Technological gaps are rapidly being surmounted as automated surveillance systems' various hardware
Vision-Based Artificial Intelligence Brings Awareness to Surveillance Read More +
A version of this article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. Still photos and videos traditionally taken with standalone cameras are increasingly being captured by camera-inclusive smartphones and tablets instead. And the post-capture processing that traditionally required a high-end computer and took
Mobile Photography’s Developing Image Read More +
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