This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. This is the first article of three that will focus on the implementation of Fast Fourier Transform (FFT) using […]
Professor Roberto Manduchi of U.C. Santa Cruz delivers the presentation, "Assistive Technology for the Visually Impaired," at the December 2015 Embedded Vision Alliance Member Meeting. Professor Manduchi explores how embedded vision is being used to assist visually impaired individuals.
“Assistive Technology for the Visually Impaired,” a Presentation from UC Santa Cruz Read More +
Neil Trevett, President of Khronos and Vice President at NVIDIA, delivers the presentation, "Update on Khronos Open Standard APIs for Vision Processing," at the December 2015 Embedded Vision Alliance Member Meeting. Trevett provides an update on recent developments in multiple Khronos standards useful for vision applications.
“An Update on Open Standard APIs for Vision Processing,” a Presentation from Khronos Read More +
This article was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Convolutional neural networks (CNNs) are widely used in pattern- and image-recognition problems as they have a number of advantages compared to other techniques. This white paper covers the basics of CNNs including a description of the various layers
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This introductory article discusses implementing machine learning algorithms on FPGAs, achieving significant performance improvements at much lower power. Newly available middleware IP, together with the SDAccel programming environment, enables software developers to implement convolutional neural networks (CNNs) in C/C++, leveraging an OpenCL platform model. Machine Learning in the Cloud: A Tipping Point The transformation of
Accelerating Machine Learning: Implementing Deep Neural Networks on FPGAs Read More +
The substantial resources available in modern programmable logic devices, in some cases including embedded processor cores, makes them strong candidates for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across programmable logic fabric and other heterogeneous processing elements within a system. As mentioned in the
OpenCL Streamlines FPGA Acceleration of Computer Vision Read More +
Ken Lee, President of VanGogh Imaging, presents the "Bringing New Capabilities to Users and Industries with Mobile 3D Vision" tutorial at the May 2015 Embedded Vision Summit. Diverse applications such as 3D printing, gaming, medical diagnosis, parts inspection, and ecommerce benefit greatly from the ability of 3D computer vision to separate a scene into discrete
Andy Chang, Senior Manager of Academic Research at National Instruments, presents the "Enabling the Factory of the Future with Embedded Vision" tutorial at the May 2015 Embedded Vision Summit. Manufacturing has changed dramatically over the past few decades and is now changing even faster. Embedded vision is a key enabler for improved efficiency, quality, flexibility,
Yury Gorbachev, Principal Engineer at Itseez (now part of Intel), presents the "OpenCV for Embedded: Lessons Learned" tutorial at the May 2015 Embedded Vision Summit. OpenCV is the most widely used software component library for computer vision. Initially used mainly for algorithm development and prototyping, in recent years OpenCV has also been used extensively for
“OpenCV for Embedded: Lessons Learned,” a Presentation from Intel Read More +
Simon Morris, CEO of CogniVue, presents the "Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems" tutorial at the May 2015 Embedded Vision Summit. The automotive industry has embraced embedded vision as a key safety technology. Many car models today ship with vision-based safety features such as forward collision avoidance and lane
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