Entertainment Applications for Embedded Vision
“Using Markerless Motion Capture to Win Baseball Games,” a Presentation from KinaTrax
Steven Cadavid, President of KinaTrax, presents the "Using Markerless Motion Capture to Win Baseball Games" tutorial at the May 2017 Embedded Vision Summit. KinaTrax develops a markerless motion capture system that computes the kinematic data of an in-game baseball pitch. The system is installed in several Major League Baseball ballparks including Wrigley Field, home of
“Making Cozmo See,” a Presentation from Anki
Andrew Stein, Lead Computer Vision Engineer at Anki, presents the "Making Cozmo See" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Stein describes the vision capabilities of Cozmo, Anki's latest consumer robotics product. Cozmo is a sophisticated entertainment robot focused on personality, interactivity, and game play. It was one of the hottest
“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
Facial Analysis Delivers Diverse Vision Processing Capabilities
Computers can learn a lot about a person from their face – even if they don’t uniquely identify that person. Assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are all now possible at real-time speeds, via advanced algorithms running on cost-effective hardware. This article provides an overview of
Vision Processing Opportunities in Virtual Reality
VR (virtual reality) systems are beginning to incorporate practical computer vision techniques, dramatically improving the user experience as well as reducing system cost. This article provides an overview of embedded vision opportunities in virtual reality systems, such as environmental mapping, gesture interface, and eye tracking, along with implementation details. It also introduces an industry alliance
“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
“Democratizing Computer Vision Development: Lessons from the Video Game Industry,” a Presentation from WRNCH
Paul Kruszewski, President of WRNCH, presents the "Democratizing Computer Vision Development: Lessons from the Video Game Industry" tutorial at the May 2016 Embedded Vision Summit. Computer vision offers great promise: algorithms are maturing rapidly and processing power continues to grow by leaps and bounds. But today’s approach to computer vision software development – hiring a
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
Gaze Tracking Using CogniMem Technologies’ CM1K and a Freescale i.MX53
This demonstration, which pairs a Freescale i.MX Quick Start board and CogniMem Technologies CM1K evaluation module, showcases how to use your eyes (specifically where you are looking at any particular point in time) as a mouse. Translating where a customer is looking to actions on a screen, and using gaze tracking to electronically control objects
Adding Precise Finger Gesture Recognition Capabilities to the Microsoft Kinect
CogniMem’s Chris McCormick, application engineer, demonstrates how the addition of general-purpose and scalable pattern recognition can be used to bring enhanced gesture control to the Microsoft Kinect. Envisioned applications include augmenting or eliminating the TV remote control, using American Sign Language for direct text translation, and expanding the game-playing experience. To process even more gestures
October 2013 Embedded Vision Summit Technical Presentation: “Vision-Based Gesture User Interfaces,” Francis MacDougall, Qualcomm
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
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
September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI
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
October 2013 Embedded Vision Summit Technical Presentation: “Using FPGAs to Accelerate 3D Vision Processing: A System Developer’s View,” Ken Lee, VanGogh Imaging
Ken Lee, CEO of VanGogh Imaging, presents the "Using FPGAs to Accelerate 3D Vision Processing: A System Developer's View" tutorial within the "Implementing Vision Systems" technical session at the October 2013 Embedded Vision Summit East. Embedded vision system designers must consider many factors in choosing a processor. This is especially true for 3D vision systems,
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
