Aerospace and Defense Applications for Embedded Vision
Multi-sensor Fusion for Robust Device Autonomy
While visible light image sensors may be the baseline “one sensor to rule them all” included in all autonomous system designs, they’re not necessarily a sole panacea. By combining them with other sensor technologies: “Situational awareness” sensors; standard and high-resolution radar, LiDAR, infrared and UV, ultrasound and sonar, etc., and “Positional awareness” sensors such as
May 2018 Embedded Vision Summit Slides
The Embedded Vision Summit was held on May 21-24, 2018 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2018 Embedded Vision Summit
“Using Drones with Embedded Vision to Safeguard Vineyard Health,” a Presentation from Chouette
Charles Nespoulous of Chouette delivers the presentation "Using Drones with Embedded Vision to Safeguard Vineyard Health" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Nespoulous covers the following topics: Viticulture challenges The precision viticulture solution Chouette overview Implementation challenges Chouette's implementation approach Business model Future challenges
“The Evolution of Depth Sensing: From Exotic to Ubiquitous,” a Presentation from 8tree
Erik Klaas of 8tree delivers the presentation "The Evolution of Depth Sensing: From Exotic to Ubiquitous" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Klaas covers the following topics: Why is metrology important? Categorization of common methodologies for dimensional measurements Examples and applications of image-based dimensional measurement Market
Beyond-visible Light Applications in Computer Vision
Computer vision systems aren’t necessarily restricted to solely analyzing the portion of the electromagnetic spectrum that is visually perceivable by humans. Expanding the analysis range to encompass the infrared and/or ultraviolet spectrum, either broadly or selectively and either solely or in conjunction with visible spectrum analysis, can be of great benefit in a range of
“Using Satellites to Extract Insights on the Ground,” a Presentation from Orbital Insight
Boris Babenko, Senior Software Engineer at Orbital Insight, presents the "Using Satellites to Extract Insights on the Ground" tutorial at the May 2017 Embedded Vision Summit. Satellites are great for seeing the world at scale, but analyzing petabytes of images can be extremely time-consuming for humans alone. This is why machine vision is a perfect
“Designing Vision Systems for Human Operators and Workflows: A Case Study,” a Presentation from 8tree
Arun Chhabra, CEO of 8tree, presents the "Designing Vision Systems for Human Operators and Workflows: A Case Study" tutorial at the May 2017 Embedded Vision Summit. During the past several decades, manual measurement methods – using rulers and dial gauges – have been the status quo for inspecting dents, bumps, lightning strikes and corrosion blend-out
May 2017 Embedded Vision Summit Slides
The Embedded Vision Summit was held on May 1-3, 2017 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2017 Embedded Vision Summit
“Designing Vision Systems for Human Operators and Workflows,” a Presentation from 8tree
Arun Chhabra of 8tree delivers the presentation "Designing Vision Systems for Human Operators and Workflows" at the February 2017 Embedded Vision Alliance Member Meeting. Chhabra explains how his company is deploying computer vision to enhance existing workflows in industries such as aircraft maintenance.
“What’s Hot in Embedded Vision for Investors?,” an Embedded Vision Summit Panel Discussion
Jeff Bier of the Embedded Vision Alliance (moderator), Don Faria of Intel Capital, Jeff Hennig of Bank of America Merrill Lynch, Gabriele Jansen of Vision Ventures, Helge Seetzen of TandemLaunch, and Peter Shannon of Firelake Capital Management participate in the Investor Panel at the May 2016 Embedded Vision Summit. This moderated panel discussion addresses emerging
May 2016 Embedded Vision Summit Proceedings
The Embedded Vision Summit was held on May 2-4, 2016 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations presented at the Summit are listed below. All of the slides from these presentations are included in… May 2016 Embedded Vision Summit
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
