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Accelerating Machine Learning: Implementing Deep Neural Networks on FPGAs

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 […]

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OpenCL Streamlines FPGA Acceleration of Computer Vision

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

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“Bringing New Capabilities to Users and Industries with Mobile 3D Vision,” a Presentation from VanGogh Imaging

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

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“Vision-as-a-Service: Democratization of Vision for Consumers and Businesses,” a Presentation from Tend

Herman Yau, Co-Founder and CEO of Tend, presents the "Vision-as-a-Service: Democratization of Vision for Consumers and Businesses" tutorial at the May 2015 Embedded Vision Summit. Hundreds of millions of video cameras are installed around the world—in businesses, homes, and public spaces—but most of them provide limited insights. Installing new, more intelligent cameras requires massive deployments

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“Enabling the Factory of the Future with Embedded Vision,” a Presentation from National Instruments

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,

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Embedded Vision Insights: September 10, 2015 Edition

In this edition of Embedded Vision Insights: New Embedded Vision Summit Content Creating Apps and Systems with Embedded Vision Automotive ADAS Acronyms Explained Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I’m excited to tell you about more great new video presentations from the recent Embedded Vision Summit. In "Using Vision to

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“OpenCV for Embedded: Lessons Learned,” a Presentation from Intel

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

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“Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems,” a Presentation from CogniVue

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

“Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems,” a Presentation from CogniVue Read More +

“Trade-offs in Implementing Deep Neural Networks on FPGAs,” a Presentation from Auviz Systems

Nagesh Gupta, CEO and Founder of Auviz Systems, presents the "Trade-offs in Implementing Deep Neural Networks on FPGAs" tutorial at the May 2015 Embedded Vision Summit. Video and images are a key part of Internet traffic—think of all the data generated by social networking sites such as Facebook and Instagram—and this trend continues to grow.

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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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