Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Create a Great Object Detector" tutorial at the May 2014 Embedded Vision Summit. Detecting objects of interest in images and video is a key part of practical embedded vision systems. Impressive progress has been made over the past few years by […]
Eric Krzeslo, Chief Marketing Officer of SoftKinetic, demonstrates the company's 3D time-of-flight vision sensor technology and its gesture-control middleware at the March 2014 Game Developer Conference. The demonstrations took place on a range of platforms, from an Android tablet to the NVIDIA Shield portable gaming device to a set of Oculus VR virtual reality goggles.
March 2014 Game Developer Conference Demonstration: SoftKinetic Read More +
For decades, computer vision technology was found mainly in university laboratories and a few niche applications. Today, virtually every tablet and smartphone is capable of sophisticated vision functions such as hand gesture recognition, face recognition, gaze tracking, and object recognition. These capabilities are being used to enable new types of applications, user interfaces, and use
Embedded Vision: Enabling Smarter Mobile Apps and Devices Read More +
Larry Matthies, Supervisor of the Computer Vision Group at NASA's Jet Propulsion Laboratory, delivers the technology presentation, "Vision-Based Navigation Applications: From Planetary Exploration to Consumer Devices," at the March 2014 Embedded Vision Alliance Member Meeting. Dr. Matthies is a Senior Research Scientist at JPL and is the Supervisor of the Computer Vision Group in the
Neil Trevett, President of Khronos and Vice President at NVIDIA, delivers the standards presentation, "Recent Developments in Khronos Standards for Embedded Vision," at the March 2014 Embedded Vision Alliance Member Meeting.
John Feland, Ph.D., CEO of Argus Insights, delivers the market trends presentation, "Forecasting Consumer Adoption of Embedded Vision in Mobile Devices in 2014," at the March 2014 Embedded Vision Alliance Member Meeting.
Brian Wassom, Partner and Chair of the Social, Mobile, and Emerging Media Practice Group at Honigman Miller Schwartz and Cohn, LLP, presents "Who Watches the Machines Watching You? Regulating Privacy in the Era of Machines That See" at the March 2014 Embedded Vision Alliance Member Meeting. His talk discusses the legal considerations at the nexus
Jim Heaton, FAE at Xilinx, demonstrates the company's Zynq ZC702-based image processing kit at the March 2014 Embedded Vision Alliance Member Meeting.
March 2014 Embedded Vision Alliance Member Meeting Product Demonstration: Xilinx Read More +
Do you want to write your own blazing fast, interactive mobile apps using computer vision technology? Apps that can make your camera smarter, find people's faces, understand their gestures, interpret scenes and augment them with graphics? The Tegra super chip and the OpenCV for Tegra library can help you to do just that! OpenCV for
Introduction to OpenCV for Tegra Read More +
There is a growing need for fast and power-efficient computer vision on embedded devices. This session will focus on computer vision capabilities on embedded platforms available to ADAS developers, covering the OpenCV CUDA implementation and the new computer vision standard, OpenVX. In addition, Itseez traffic sign detection will be showcased. The algorithm is capable of
Real-Time Traffic Sign Recognition on Mobile Processors Read More +
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.
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