Augmented Reality Functions
“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
“How 3D Maps Will Change the World,” a Presentation from Augmented Pixels
Vitaliy Goncharuk, CEO and Founder of Augmented Pixels, presents the "How 3D Maps Will Change the World" tutorial at the May 2017 Embedded Vision Summit. In the very near future, cars, robots, mobile phones and augmented reality glasses will incorporate inexpensive and efficient depth sensing. This will quickly bring us to a new world in
“Performing Multiple Perceptual Tasks With a Single Deep Neural Network,” a Presentation from Magic Leap
Andrew Rabinovich, Director of Deep Learning at Magic Leap, presents the "Performing Multiple Perceptual Tasks With a Single Deep Neural Network" tutorial at the May 2017 Embedded Vision Summit. As more system developers consider incorporating visual perception into smart devices such as self-driving cars, drones and wearable computers, attention is shifting toward practical formulation and
“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
“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies
Michael Mangan, a member of the Product Manager Staff at Qualcomm Technologies, presents the "Computer Vision and Machine Learning at the Edge" tutorial at the May 2017 Embedded Vision Summit. Computer vision and machine learning techniques are applied to myriad use cases in smartphones today. As mobile technology expands beyond the smartphone vertical, both technologies
“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies
Michael Mangan, a member of the Product Manager Staff at Qualcomm Technologies, presents the "Computer Vision and Machine Learning at the Edge" tutorial at the May 2017 Embedded Vision Summit. Computer vision and machine learning techniques are applied to myriad use cases in smartphones today. As mobile technology expands beyond the smartphone vertical, both technologies
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 Augmented? What’s Reality?,” a Presentation from PTC
Jay Wright, President and General Manager of Vuforia at PTC, delivers the presentation "What's Augmented? What's Reality?" at the September 2016 Embedded Vision Alliance Member Meeting. Wright provides insights on augmented reality markets, applications and technology.
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
“Augmented Reality for Industrial Productivity,” a Presentation from DAQRI
Wenyi Zhao, Ph.D., Director of the Vision and Sensor Group at DAQRI, delivers the presentation, "Augmented Reality for Industrial Productivity," at the March 2016 Embedded Vision Alliance Member Meeting. Zhao discusses how his firm’s computer-vision-enabled augmented reality helmet is being used to dramatically improve productivity in industrial applications.
“Harman’s Augmented Navigation Platform—The Convergence of ADAS and Navigation,” a Presentation from Harman
Alon Atsmon, Vice President of Technology Strategy at Harman International, presents the "Harman’s Augmented Navigation Platform—The Convergence of ADAS and Navigation" tutorial at the May 2015 Embedded Vision Summit. Until recently, advanced driver assistance systems (ADAS) and in-car navigation systems have evolved as separate standalone systems. Today, however, the combination of available embedded computing power
“Creating Smarter, More Interactive Apps and Systems with Computer Vision,” a Presentation from the Embedded Vision Alliance
Thanks to improvements in processors, image sensors, and algorithms, more and more of our devices now — for the first time — are gaining the ability to see and understand the world around them. In this talk from the June 2015 Augmented World Expo, Jeff Bier (Founder of the Embedded Vision Alliance) highlights the opportunities
Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices
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. 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
Practical Computer Vision Enables Digital Signage with Audience Perception
This article was originally published at Information Display Magazine. It is reprinted here with the permission of the Society of Information Display. Signs that see and understand the actions and characteristics of individuals in front of them can deliver numerous benefits to advertisers and viewers alike. Such capabilities were once only practical in research labs
“How to Make the World More Interactive: Augmented Reality as the Interface Between Wearable Tech and the Internet of Things,” a Presentation from AugmentedReality.org
Ori Inbar, co-founder and CEO of AugmentedReality.org, presents the "How to Make the World More Interactive: Augmented Reality as the Interface Between Wearable Tech and the Internet of Things" tutorial at the May 2014 Embedded Vision Summit. In this talk, Inbar explains how augmented reality, which relies heavily on embedded vision, is transitioning from a
May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue
Simon Morris, CEO of CogniVue, presents the "Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality" tutorial at the May 2014 Embedded Vision Summit. Augmented reality (AR) applications are based on accurately computing a camera's 6 degrees of freedom (6DOF) position in 3-dimensional space, also known as its "pose". In vision-based approaches to AR,
Augmented Reality: A Compelling Mobile Embedded Vision Opportunity
This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Although augmented reality was first proposed and crudely demonstrated nearly fifty years ago, its implementation was until recently only possible on bulky and expensive computers. Nowadays, however, the fast, low power and cost-effective processors and high
