Brian Dipert

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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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Basler’s Thies Möller Explains How Multi-camera Setups Benefit from GigE Vision 2.0

Videos /

What exactly is the GigE Vision 2.0 standard and what advantages does it bring to multi-camera systems? The GigE Vision 2.0 standard makes it easier to set up a multi-camera system and offers many benefits. Thanks to the Precision Time Protocol (PTP), for example, it is possible to trigger all cameras in this system at

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

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On July 12, 2017 at 1PM ET (10AM PT), Xilinx will deliver a free hour-long webinar entitled "OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision", in partnership with the Embedded Vision Alliance Here's the description, from the event registration page: OpenCV libraries are widely used for algorithm prototyping by many leading technology

“OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision,” a Free Webinar from Xilinx Read More +

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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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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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