Mario Bergeron, Technical Marketing Engineer at Avnet Electronics Marketing, demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Bergeron demonstrates a GigE Vision application developed by partner Sensor to Image and running on a carrier board comprised of a SOM (System on Module) based on Xilinx's Zynq-7000 […]
Avnet Electronics Demonstration of GigE Vision Read More +
This article was originally published at Texas Instruments' website (PDF). It is reprinted here with the permission of Texas Instruments. Recent publicity has attracted the public eye to the development of automated vehicles, especially Google’s experimental cars that have logged thousands of self-driven miles with minimal help from human drivers. These events are truly impressive,
Paving the Way to Self-Driving Cars with Advanced Driver Assistance Systems Read More +
This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. Firstly, I’d like to give you an overview of OpenCL programming fundamentals using a basic program, followed by an explanation of OpenCL execution on Rogue GPUs. This
A Quick Guide to Writing OpenCL Kernels for PowerVR Rogue GPUs Read More +
In this edition of Embedded Vision Insights: GPU-Accelerated Computer Vision Processing The Low-Power Image Recognition Challenge OpenCL for Vision Acceleration on FPGAs Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, GPU-based vision processing acceleration via the OpenCL API framework and other heterogeneous computing toolsets, discussed in the first
Embedded Vision Insights: October 6, 2015 Edition Read More +
Mario Bergeron, Technical Marketing Engineer at Avnet Electronics Marketing, demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Bergeron demonstrates a face analytics application developed by partner Xylon and running on a carrier board comprised of a SOM (System on Module) based on Xilinx's Zynq-7000 All-Programmable SoC.
Avnet Electronics Demonstration of Face Analytics Read More +
This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In the mobile and embedded market, the design constraints of electronic products can sometimes be seen as tight and contradictory: the market demands higher performance yet lower
A Primer on Mobile Systems Used for Heterogeneous Computing Read More +
In this edition of Embedded Vision Insights: OpenCL on FPGAs for Deep Learning and Other Applications Histogram of Oriented Gradients Implementations Heterogeneous Computing Terms Explained Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, The final set of technical presentations from this year's Embedded Vision Summit is now on the Alliance website; I'd
Embedded Vision Insights: September 22, 2015 Edition Read More +
This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. For the last decade, Imagination has been at the forefront of heterogeneous compute, becoming a founding member of the HSA Foundation and a contributor to many open
The Complete Glossary to Heterogeneous Compute Read More +
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 +
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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