This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded […]
Francis MacDougall, Senior Director of Technology at Qualcomm, presents the "Vision-Based Gesture User Interfaces" tutorial within the "Vision Applications" technical session at the October 2013 Embedded Vision Summit East. MacDougall explains how gestures fit into the spectrum of advanced user interface options, compares and contrasts the various 2-D and 3-D technologies (vision and other) available
Michael Tusch, Founder and CEO of Apical Imaging, presents the "Better Image Understanding Through Better Sensor Understanding" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. One of the main barriers to widespread use of embedded vision is its reliability. For example, systems which detect
Tom Michiels, R&D Manager at Synopsys, presents the "Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. Pedestrian detection is an important function in a wide range of applications, including automotive safety systems, mobile applications, and industrial automation. A
Eric Gregori, Senior Software Engineer at BDTI, presents the "Accelerating Computer Vision Applications with the Hexagon DSP" tutorial at the September 2013 Qualcomm UPLINQ Conference. Smartphones, tablets and embedded systems increasingly use sophisticated vision algorithms to deliver capabilities like augmented reality and gesture user interfaces. Since vision algorithms are computationally demanding, a key challenge when
Goksel Dedeoglu, Embedded Vision R&D Manager at Texas Instruments, presents the "Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. This tutorial is intended for technical audiences interested in learning about the Lucas-Kanade
Marco Jacobs, Technical Marketing Director at videantis, presents the "Feature Detection: How It Works, When to Use It, and a Sample Implementation" tutorial within the "Object and Feature Detection" technical session at the October 2013 Embedded Vision Summit East. Feature detection and tracking are key components of many computer vision applications. In this talk, Jacobs
Mario E. Munich, Vice President of Advanced Development at iRobot, presents the "Embedding Computer Vision in Everyday Life" keynote at the October 2013 Embedded Vision Summit East. Munich speaks about adapting highly complex computer vision technologies to cost-effective consumer robotics applications. Munich currently manages iRobot's research and advanced development efforts. He was formerly the CTO
“Embedding Computer Vision in Everyday Life,” a Keynote Presentation from iRobot Read More +
Ori Inbar, Founder and CEO of AugmentedReality.org, delivers the keynote, "Augmented Reality Opportunities and Challenges: From Novelty to Productivity," at the October 2013 Embedded Vision Alliance Member Meeting. In this presentation, Ori explains how augmented reality (which relies heavily on embedded vision) is transitioning from a bleeding-edge technology embraced mainly by enthusiasts to a mainstream
Professor Masatoshi Ishikawa of Tokyo University delivers the keynote presentation, "High Speed Vision and Its Applications — Sensor Fusion, Dynamic Image Control, Vision Architecture, and Meta-Perception," at the July 2013 Embedded Vision Alliance Member Meeting. High speed vision processing and various applications based on it are expected to become increasingly common due to continued improvement
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
