Edge AI and Vision Alliance

EVA180x100

Embedded Vision Insights: July 18, 2017 Edition

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 […]

Embedded Vision Insights: July 18, 2017 Edition Read More +

Figure2

Software Frameworks and Toolsets for Deep Learning-based Vision Processing

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

Software Frameworks and Toolsets for Deep Learning-based Vision Processing Read More +

May 2017 Embedded Vision Summit Vision Tank Competition Finalist Presentations

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

May 2017 Embedded Vision Summit Vision Tank Competition Finalist Presentations Read More +

May 2017 Embedded Vision Summit Vision Entrepreneurs’ Panel

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

May 2017 Embedded Vision Summit Vision Entrepreneurs’ Panel Read More +

EVA180x100

Embedded Vision Insights: July 6, 2017 Edition

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,

Embedded Vision Insights: July 6, 2017 Edition Read More +

May 2017 Embedded Vision Summit Introductory Presentation (Day 1)

Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2017 Embedded Vision Summit on May 1, 2017 (Day 1). Bier 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 and potential

May 2017 Embedded Vision Summit Introductory Presentation (Day 1) Read More +

“Developing Real-time Video Applications with CoaXPress,” A Presentation from Euresys

Jean-Michel Wintgens, Vice President of Engineering at Euresys, presents the "Developing Real-time Video Applications with CoaXPress" tutorial at the May 2017 Embedded Vision Summit. CoaXPress is a modern, high-performance video transport interface. Using a standard coaxial cable, it provides a point-to-point connection that is reliable, scalable and versatile. Wintgens shows, using real application cases and

“Developing Real-time Video Applications with CoaXPress,” A Presentation from Euresys Read More +

EVA180x100

Embedded Vision Insights: June 20, 2017 Edition

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 month's full-day,

Embedded Vision Insights: June 20, 2017 Edition Read More +

“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,

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

Tend Secure Lynx A

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

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

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top