Aerospace and Defense Applications for Embedded Vision
Deep Learning Use Cases for Computer Vision (Download)
Six Deep Learning-Enabled Vision Applications in Digital Media, Healthcare, Agriculture, Retail, Manufacturing, and Other Industries The enterprise applications for deep learning have only scratched the surface of their potential applicability and use cases. Because it is data agnostic, deep learning is poised to be used in almost every enterprise vertical… Deep Learning Use Cases for
“Harnessing Embedded Vision for Defense and Transportation Systems,” A Presentation from Cubic
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.
October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical
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
October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys
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
October 2013 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How it Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, Texas Instruments
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
October 2013 Embedded Vision Summit Technical Presentation: “Feature Detection: How It Works, When to Use It, and a Sample Implementation,” Marco Jacobs, videantis
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
“Embedding Computer Vision in Everyday Life,” a Keynote Presentation from iRobot
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
October 2013 Embedded Vision Summit Technical Presentation: “Tools for ‘Democratizing’ Computer Vision,” Jayan Eledath, SRI International
Jayan Eledath, Program Director at SRI International, presents the "Tools for 'Democratizing' Computer Vision" tutorial within the "Algorithm Development Techniques and Tools" technical session at the October 2013 Embedded Vision Summit East. Computer vision has matured to a point where it is beginning to be widely deployed in several real-world applications. This has led to
October 2013 Embedded Vision Alliance Member Meeting Keynote: “Augmented Reality Opportunities and Challenges: From Novelty to Productivity,” Ori Inbar, AugmentedReality.org
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
October 2013 Embedded Vision Summit Technical Presentation: “The DARPA Visual Media Reasoning Program,” Mike Geertsen, DARPA
Mike Geertsen, Program Manager at DARPA, presents the "DARPA Visual Media Reasoning Program" tutorial within the "Algorithm Development Techniques and Tools" technical session at the October 2013 Embedded Vision Summit East. Under the Visual Media Reasoning (VMR) program, DARPA has facilitated the development of a range of innovative computer vision technologies, all focused on a
October 2013 Embedded Vision Summit Technical Presentation: “Using Synthetic Image Generation to Reduce the Cost of Vision Algorithm Development,” Clark Dorman, Next Century Corporation
Clark Dorman, Chief Engineer at Next Century Corporation, presents the "Using Synthetic Image Generation to Reduce the Cost of Vision Algorithm Development" tutorial within the "Algorithm Development Techniques and Tools" technical session at the October 2013 Embedded Vision Summit East. One of the greatest challenges in developing computer vision applications is the development and maintenance
“High Speed Vision and Its Applications,” a Presentation from Professor Masatoshi Ishikawa
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
April 2013 Embedded Vision Summit Keynote: “Artificial Intelligence for Robotic Butlers and Surgeons,” Professor Pieter Abbeel, University of California, Berkeley
Professor Pieter Abbeel of the University of California, Berkeley, presents the "Artificial Intelligence for Robotic Butlers and Surgeons" keynote at the April 2013 Embedded Vision Summit. Professor Abbeel received a BS/MS in Electrical Engineering from KU Leuven (Belgium) and his Ph.D. degree in Computer Science from Stanford University in 2008. He joined the faculty at
April 2013 Embedded Vision Summit Overview Presentation: “What Can You Do With Embedded Vision?,” Jeff Bier, Embedded Vision Alliance
Jeff Bier, founder of the Embedded Vision Alliance and co-founder and President of BDTI, presents the "What Can You Do With Embedded Vision?" overview presentation at the April 2013 Embedded Vision Summit. This presentation is intended for those new to embedded vision, and those seeking ideas for new embedded vision applications and technologies. Jeff Bier
“Machine Learning,” a Presentation from UT Austin
Professor Kristen Grauman of the University of Texas at Austin presents the keynote on machine learning at the December 2012 Embedded Vision Alliance Member Summit. Grauman is a rising star in computer vision research. Among other distinctions, she was recently recognized with a Regents' Outstanding Teaching Award and, along with Devi Parikh, received the prestigious
September 2012 Embedded Vision Summit Presentation: “Introduction to Embedded Vision,” Jeff Bier, Embedded Vision Alliance
Jeff Bier, Founder of the Embedded Vision Alliance and co-founder and president of BDTI, presents the day-opening "Introduction to Embedded Vision" tutorial at the September 2012 Embedded Vision Summit. Topics discussed by Bier in his presentation include a technology overview, application examples, hardware, software and development tool trends, and an overview of the Embedded Vision
September 2012 Embedded Vision Summit Afternoon Keynote: Gary Bradski, OpenCV Foundation
Gary Bradski presents the afternoon keynote at the September 2012 Embedded Vision Summit. Bradski is President and CEO of the OpenCV Foundation and Founder and Chief Technical Officer of Industrial Perception Inc. The "father of OpenCV" (the Open Source Computer Vision Library), Bradski has been the director of its development for more than 14 years,
September 2012 Embedded Vision Summit Morning Keynote: Professor Rosalind Picard, MIT Media Lab
Professor Rosalind Picard presents the morning keynote at the September 2012 Embedded Vision Summit. Professor Picard is the founder and director of the Affective Computing Research Group at the MIT Media Laboratory, co-director of the Things That Think Consortium (the largest industrial sponsorship organization at the lab) and leader of the new and growing Autism
