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Augmented Reality: A Compelling Mobile Embedded Vision Opportunity

Algorithms, Articles, Augmented Reality, Edge AI and Vision Alliance, NXP Semiconductors, Processors, Sensors and Cameras, Software, Technical Articles, Tools, videantis /

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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March 2014 Embedded Vision Alliance Member Meeting Presentation: “Recent Developments in Khronos Standards for Embedded Vision,” Neil Trevett, Khronos

Algorithms, Edge AI and Vision Alliance, Software, Tools, Videos /

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.

March 2014 Embedded Vision Alliance Member Meeting Presentation: “Recent Developments in Khronos Standards for Embedded Vision,” Neil Trevett, Khronos Read More +

GPUTech

Real-Time Traffic Sign Recognition on Mobile Processors

Algorithms, Automotive, NVIDIA, Processors, Software, Tools, Videos /

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

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GPUTech

Getting Started With GPU-Accelerated Computer Vision Using OpenCV and CUDA

Algorithms, NVIDIA, Processors, Software, Tools, Videos /

OpenCV is a free library for research and commercial purposes that includes hundreds of optimized computer vision and image processing algorithms. NVIDIA and Itseez have optimized many OpenCV functions using CUDA on desktop machines equipped with NVIDIA GPUs. These functions are 5 to 100 times faster in wall-clock time compared to their CPU counterparts. Anatoly

Getting Started With GPU-Accelerated Computer Vision Using OpenCV and CUDA Read More +

December 2013 Embedded Vision Alliance Member Meeting Presentation: “OpenVX, the New Hardware Acceleration API for Computer Vision Applications and Libraries,” Neil Trevett, Khronos

Algorithms, Edge AI and Vision Alliance, Software, Tools, Videos /

Neil Trevett, President of Khronos and Vice President at NVIDIA, presents on the just-released OpenVX 1.0 provisional specification at the December 2013 Embedded Vision Alliance Member Meeting. OpenVX is a hardware acceleration API for computer vision applications and libraries.

December 2013 Embedded Vision Alliance Member Meeting Presentation: “OpenVX, the New Hardware Acceleration API for Computer Vision Applications and Libraries,” Neil Trevett, Khronos Read More +

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Camera 3: The New Camera Subsystem in Android 4.4 “KitKat”

Edge AI and Vision Alliance, onsemi, Software, Tools, Videos /

Google's Android 4.4 (KitKat) O/S shipped with some hidden Java APIs for the new Camera 3 Framework. This slide deck was presented by Aptina's Balwinder Kaur at AnDevCon 2013, held in Burlingame, California on November 15, 2013. It covers the history of the Camera Framework, the new hidden APIs in Android 4.4, and some basics

Camera 3: The New Camera Subsystem in Android 4.4 “KitKat” Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Using Heterogeneous Computing for Mobile and Embedded Vision,” Rick Maule, Qualcomm

Algorithms, Processors, Qualcomm, Software, Tools, Videos /

Rick Maule, Senior Director of Project Management at Qualcomm, presents the "Using Heterogeneous Computing for Mobile and Embedded Vision" tutorial within the "Implementing Vision Systems" technical session at the October 2013 Embedded Vision Summit East. A single vision application typically incorporates multiple algorithms requiring many different types of computation. This diversity makes it difficult for

October 2013 Embedded Vision Summit Technical Presentation: “Using Heterogeneous Computing for Mobile and Embedded Vision,” Rick Maule, Qualcomm Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Porting Applications to High-Performance Imaging DSPs,” Chris Rowen, Cadence

Algorithms, Cadence, Processors, Software, Tools, Videos /

Chris Rowen, Fellow at Cadence and Founder of Tensilica, presents the "Porting Applications to High-Performance Imaging DSPs" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. Rowen discusses the challenges of porting and tuning applications to a high-performance imaging DSP.  An imaging-specific DSP can make a

April 2013 Embedded Vision Summit Technical Presentation: “Porting Applications to High-Performance Imaging DSPs,” Chris Rowen, Cadence Read More +

September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI

Algorithms, Augmented Reality, Automotive, BDTI, Biometrics, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Object Identification, Object Tracking, Optical Character Recognition, Processors, Robotics, Security, Software, Tools, Videos /

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

September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI 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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