Sensors and Cameras

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Embedded Vision: Enabling Smarter Mobile Apps and Devices

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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 […]

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March 2014 Embedded Vision Alliance Member Meeting Presentation: “Vision-Based Navigation Applications: From Planetary Exploration to Consumer Devices,” Larry Matthies, NASA

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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

March 2014 Embedded Vision Alliance Member Meeting Presentation: “Vision-Based Navigation Applications: From Planetary Exploration to Consumer Devices,” Larry Matthies, NASA Read More +

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Augmented Reality: A Compelling Mobile Embedded Vision Opportunity

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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

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Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions

Algorithms, Articles, Automotive, Edge AI and Vision Alliance, Face Detection, Face Recognition, Gesture Control, NXP Semiconductors, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Synopsys, Technical Articles /

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. 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 range of embedded

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“Computational Photography: An Introduction and Highlights of Recent Research,” a Presentation from the University of Wisconsin

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Professor Li Zhang of the University of Wisconsin presents an introduction to computational photography at the December 2013 Embedded Vision Alliance Member Meeting.

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“Computational Imaging: From Research to Product,” a Presentation from Personify

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Professor Sanjay Patel shares insights from his research on computational imaging at the University of Illinois, and from his experience at Personify, the vision-based start-up that he co-founded, at the December 2013 Embedded Vision Alliance Member Meeting.

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October 2013 Embedded Vision Summit Technical Presentation: “Implementing Real-Time Hyperspectral Imaging,” Kalyanramu Vemishetty, National Instruments

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Kalyanramu Vemishetty, Senior Systems Engineer at National Instruments, presents the "Implementing Real-Time Hyperspectral Imaging tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. Hyperspectral imaging enables vision systems to use many spectral bands rather than just the typical red, green, blue bands. This can be

October 2013 Embedded Vision Summit Technical Presentation: “Implementing Real-Time Hyperspectral Imaging,” Kalyanramu Vemishetty, National Instruments Read More +

October 2013 Embedded Vision Alliance Member Meeting Keynote: “Augmented Reality Opportunities and Challenges: From Novelty to Productivity,” Ori Inbar, AugmentedReality.org

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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 Alliance Member Meeting Keynote: “Augmented Reality Opportunities and Challenges: From Novelty to Productivity,” Ori Inbar, AugmentedReality.org Read More +

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October 2013 Embedded Vision Summit Proceedings

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The Embedded Vision Summit was held on October 2, 2013 in Westford, Massachusetts, as a technical educational forum for engineers interested in incorporating visual intelligence into electronic systems and software. The program for the event included the following presentations, whose PDF-formatted foilsets are available for download as a consolidated ZIP… October 2013 Embedded Vision Summit

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“High Speed Vision and Its Applications,” a Presentation from Professor Masatoshi Ishikawa

Aerospace and Defense, Algorithms, Automotive, Edge AI and Vision Alliance, Entertainment, Gesture Control, Industrial Vision (Computer Vision), Medical, Object Tracking, Robotics, Sensors and Cameras, Software, Videos /

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

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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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