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 +
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 +
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.
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 +
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
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
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
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,
Mario E. Munich, Vice President of Advanced Development at iRobot, presents the "Embedding Computer Vision in Everyday Life" keynote at the October 2013 Embedded Vision Summit East. Munich speaks about adapting highly complex computer vision technologies to cost-effective consumer robotics applications. Munich currently manages iRobot's research and advanced development efforts. He was formerly the CTO
“Embedding Computer Vision in Everyday Life,” a Keynote Presentation from iRobot 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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