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OpenCL Streamlines FPGA Acceleration of Computer Vision

Algorithms, AMD, Articles, Intel, Processors, Software, Technical Articles, Tools /

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

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

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

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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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“Using Vision to Create Smarter Consumer Devices with Improved Privacy,” a Presentation from Apical

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Michael Tusch, Founder and CEO of Apical, presents the "Using Vision to Create Smarter Consumer Devices with Improved Privacy" tutorial at the May 2015 Embedded Vision Summit. Machines are valuable primarily due to their ability interact with people and with the physical world. But today, most of the consumer devices in the “Internet of Things”

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May 2015 Embedded Vision Summit Introductory Presentation

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Jeff Bier, Founder of the Embedded Vision Alliance and President and Co-Founder of BDTI, presents the introductory remarks at the May 2015 Embedded Vision Summit. Jeff provides an overview of the embedded vision market opportunity, challenges, solutions and trends. He also introduces the Embedded Vision Alliance and the resources it offers for both product creators

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“Navigating the Vision API Jungle: Which API Should You Use and Why?,” a Presentation from the Khronos Group

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Neil Trevett, Vice President of Mobile Ecosystem at NVIDIA and President of the Khronos Group, presents the "Navigating the Vision API Jungle: Which API Should You Use and Why?" tutorial at the May 2015 Embedded Vision Summit. It’s often said that the wonderful thing about standards is that there are so many to choose from.

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“The OpenCV Open Source Computer Vision Library: Latest Developments,” a Presentation from the OpenCV Foundation

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Gary Bradski, President and CEO of the OpenCV Foundation, presents the "OpenCV Open Source Computer Vision Library: Latest Developments" tutorial at the May 2015 Embedded Vision Summit. OpenCV is an enormously popular open source computer vision library, with over 9 million downloads. Originally used mainly for research and prototyping, in recent years OpenCV has increasingly

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“Understanding the Role of Integrated GPUs in Vision Applications,” a Presentation from ARM

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Roberto Mijat, Visual Computing Marketing Manager at ARM, presents the "Understanding the Role of Integrated GPUs in Vision Applications" tutorial at the May 2015 Embedded Vision Summit. Today, systems-on-chip (SoCs) used in applications such as smart TVs, smartphones and tablets typically include a multi-core CPU with single-instruction, multiple-data capabilities as well as a GPU that

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“Deep-learning-based Visual Perception in Mobile and Embedded Devices: Opportunities and Challenges,” a Presentation from Qualcomm

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Jeff Gehlhaar, Vice President of Technology, Corporate Research and Development, at Qualcomm, presents the "Deep-learning-based Visual Perception in Mobile and Embedded Devices: Opportunities and Challenges" tutorial at the May 2015 Embedded Vision Summit. Deep learning approaches have proven extremely effective for a range of perceptual tasks, including visual perception. Incorporating deep-learning-based visual perception into devices

“Deep-learning-based Visual Perception in Mobile and Embedded Devices: Opportunities and Challenges,” a Presentation from Qualcomm 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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