Brian Dipert

“Moving CNNs from Academic Theory to Embedded Reality,” a Presentation from Synopsys

Tom Michiels, System Architect for Embedded Vision Processors at Synopsys, presents the "Moving CNNs from Academic Theory to Embedded Reality" tutorial at the May 2017 Embedded Vision Summit. In this presentation, you will learn to recognize and avoid the pitfalls of moving from an academic CNN/deep learning graph to a commercial embedded vision design. You […]

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“The OpenVX Computer Vision Library Standard for Portable, Efficient Code,” a Presentation from Cadence

Frank Brill, Design Engineering Director at Cadence and Chairperson of the Khronos Group's OpenVX Working Group, presents the "OpenVX Computer Vision Library Standard for Portable, Efficient Code" tutorial at the May 2017 Embedded Vision Summit. OpenVX is an industry-standard computer vision API designed for efficient implementation on a variety of embedded platforms. The API incorporates

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Lifting the Veil on Hololens

This blog post was originally published at Cadence's website. It is reprinted here with the permission of Cadence. The opening keynote at the Embedded Vision Summit in Santa Clara was by Marc Pollefeys, who is a director of science at Microsoft in Redmond, working on advanced capabilities for Hololens, and a professor at ETH Zurich.

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“The Vision Acceleration API Landscape: Options and Trade-offs,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President at NVIDIA, presents the "Vision Acceleration API Landscape: Options and Trade-offs" tutorial at the May 2017 Embedded Vision Summit. The landscape of APIs for accelerating vision and neural network software using specialized processors continues to rapidly evolve. Many industry-standard APIs, such as OpenCL and OpenVX,

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“Develop Smart Computer Vision Solutions Faster,” a Free Webinar from Intel

On June 14, 2017 at 1PM ET (10AM PT), Intel will deliver a free hour-long webinar entitled "Develop Smart Computer Vision Solutions Faster", in partnership with the Embedded Vision Alliance Here's the description, from the event registration page: Developers: Now is the time to innovate computer vision and ‘smart’ capabilities in your embedded solutions and

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Cloud-versus-Edge and Centralized-versus-Distributed: Evaluating Vision Processing Alternatives

Although incorporating visual intelligence in your next product is an increasingly beneficial (not to mention practically feasible) decision, how to best implement this intelligence is less obvious. Image processing can optionally take place completely within the edge device, in a network-connected cloud server, or subdivided among these locations. And at the edge, centralized and distributed

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Embedded Vision Alliance Announces New Training Class: Deep Learning for Computer Vision with TensorFlow

WALNUT CREEK, Calif., June 12, 2017 /PRNewswire/ — The Embedded Vision Alliance today announced its new Deep Learning for Computer Vision with TensorFlow training class on July 13th in Santa Clara, Calif. During this hands-on class, attendees will learn how to use TensorFlow, the popular, open source framework for deep learning, to create and train

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“Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts,” a Presentation from Xilinx

Vinod Kathail, Distinguished Engineer and leader of the Embedded Vision team at Xilinx, presents the "Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts" tutorial at the May 2017 Embedded Vision Summit. Machine learning research is advancing daily with new network architectures, making it difficult to choose the best CNN algorithm

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Basler AG Acquires mycable GmbH

Basler AG concluded the takeover of mycable GmbH on 1 June 2017. With the acquisition of mycable, Basler intends to increase its market penetration in field of embedded vision technology. Ahrensburg, 08 June 2017 – Basler AG, the leading manufacturer of digital industrial cameras, concluded the takeover of mycable GmbH, headquartered in Neumünster, on 1

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