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Embedded Vision Insights: July 18, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

DEEP LEARNING FOR VISION Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning is an increasingly popular and robust alternative to classical computer vision algorithms. This technical article from the Embedded Vision Alliance and member companies Au-Zone Technologies, BDTI, MVTec, Synopsys and Xilinx covers the leading deep learning software frameworks, the reasons for […]

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Software Frameworks and Toolsets for Deep Learning-based Vision Processing

Algorithms & Models, AMD, Articles, Au-Zone Technologies, BDTI, Edge AI and Vision Alliance, MVTec, Processors, Software, Synopsys, Technical Articles, Tools /

This article provides both background and implementation-detailed information on software frameworks and toolsets for deep learning-based vision processing, an increasingly popular and robust alternative to classical computer vision algorithms. It covers the leading available software framework options, the root reasons for their abundance, and guidelines for selecting an optimal approach among the candidates for a

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May 2017 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Algorithms & Models, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools, Videos /

Adam Rowell, CTO of Lucid VR, Nitsa Einan, VP of Business Development at Imagry, Anthony Ashbrook, Founder and CEO of Machines With Vision, Grace Tsai, Founding Engineer at PerceptIn, and Grégoire Gentil, Founder of Always Innovating, deliver their Vision Tank finalist presentations at the May 2017 Embedded Vision Summit. The Vision Tank, a unique spin

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“OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision,” a Presentation from Xilinx

Algorithms & Models, AMD, Processors, Software, Tools, Videos /

Nick Ni, Senior Product Manager for SDSoC and Embedded Vision at Xilinx, presents the "OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision" tutorial at the May 2017 Embedded Vision Summit. OpenCV libraries are widely used for algorithm prototyping by many leading technology companies and computer vision researchers. FPGAs can achieve unparalleled compute

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May 2017 Embedded Vision Summit Vision Entrepreneurs’ Panel

Algorithms & Models, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools, Videos /

Chris Rowen, CEO of Cognite Ventures, moderates the Vision Entrepreneurs' Panel at the May 2017 Embedded Vision Summit. Other panelists include Mark Bowles, founder of ecoATM; Michael Tusch, CEO; and Remi El-Ouazzane, CEO of Movidius (an Intel company). What can we learn from leaders of successful vision-based start-ups? The expanding applications of embedded vision are

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BrainChip Holdings Ltd Appoints New Director

BrainChip, News /

Emmanuel T. Hernandez Joins the BrainChip Board of Directors Appointment of highly regarded Silicon Valley executive, Emmanuel Hernandez, as Non-Executive Director. Brings more than 40 years of operating and board member experience including key roles with several of Silicon Valley’s largest and most successful companies such as Cypress Semiconductor and ON Semiconductor. Adds world-class technology

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“Techniques to Reduce Power Consumption in Embedded DNN Implementations,” a Presentation from Cadence

Algorithms & Models, Cadence, Processors, Software, Tools, Videos /

Samer Hijazi, Deep Learning Engineering Group Director at Cadence, presents the "Techniques to Reduce Power Consumption in Embedded DNN Implementations" tutorial at the May 2017 Embedded Vision Summit. Deep learning is becoming the most widely used technique for computer vision and pattern recognition. This rapid adoption is primarily driven by the outstanding effectiveness deep learning

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“The Power of a Turnkey Camera Solution: Introduction to the Camera Development Kit”, a Presentation from Thundersoft

Algorithms & Models, Processors, Sensors and Cameras, Software, Thundersoft, Tools, Videos /

Fan Wang, Technical Director at Thundersoft, presents the "Power of a Turnkey Camera Solution: Introduction to the Camera Development Kit" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Wang showcases the power of a turn-key camera solution via the company's camera development kit, which can be used for algorithm development and smart

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EVA180x100

Embedded Vision Insights: July 6, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss next Thursday's full-day,

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“Fast Inference in Low Power Systems via CEVA’s Deep Neural Network Solution,” a Presentation from CEVA

Algorithms & Models, Ceva, Processors, Software, Tools, Videos /

Yair Siegel, Director of Strategic Marketing at CEVA, presents the "Fast Inference in Low Power Systems via CEVA’s Deep Neural Network Solution" tutorial at the May 2017 Embedded Vision Summit. The emergence of state-of-the-art, real-time object detection solely based on convolutional neural networks has created new and complex challenges for embedded systems. Algorithms such as

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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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