Videos

GPUTech

Real-Time Traffic Sign Recognition on Mobile Processors

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

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

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

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

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 +

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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