Edge AI and Vision Alliance

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Embedded Vision Insights: July 19, 2016 Edition

FEATURED VIDEOS "Large-Scale Deep Learning for Building Intelligent Computer Systems," a Keynote Presentation from Google Jeff Dean, Senior Fellow at Google, presents the keynote talk, "Large-Scale Deep Learning for Building Intelligent Computer Systems," at the May 2016 Embedded Vision Summit. Over the past few years, Google has built two generations of large-scale computer systems for […]

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“Image Sensors for Vision: Foundations and Trends,” a Presentation from ON Semiconductor

Robin Jenkin, Director of Analytics, Algorithm and Module Development at ON Semiconductor, presents the "Image Sensors for Vision: Foundations and Trends" tutorial at the May 2016 Embedded Vision Summit. Choosing the right sensor, lens and system configuration is crucial to setting you off in the right direction for your vision application. Jenkin examines fundamental considerations

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Embedded Vision Insights: July 7, 2016 Edition

FEATURED VIDEOS "Challenges in Object Detection on Embedded Devices," a Presentation from CEVA As more products ship with integrated cameras, says Adar Paz, Imaging and Computer Vision Team Leader at CEVA, there is an increased potential for computer vision (CV) to enable innovation. For instance, CV can tackle the "scene understanding" problem by first figuring

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“Real-world Vision Systems Design: Challenges and Techniques,” a Presentation from Intel

Yury Gorbachev, Principal Engineer at Itseez (now part of Intel), presents the "Real-world Vision Systems Design: Challenges and Techniques" tutorial at the May 2016 Embedded Vision Summit. Computer vision is central to many modern, cool products and technologies, including augmented reality, virtual reality and drones. Thanks to recent advances in system-on-chip and embedded systems design,

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“TensorFlow: Enabling Mobile and Embedded Machine Intelligence,” a Presentation from Google

Pete Warden, Research Engineer at Google, presents the "TensorFlow: Enabling Mobile and Embedded Machine Intelligence" tutorial at the May 2016 Embedded Vision Summit. Following a brief overview of the advances in deep learning and AI over the last few years, Pete discusses how Google uses TensorFlow to deploy those advances in products on mobile and

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Embedded Vision Insights: June 21, 2016 Edition

In this edition of Embedded Vision Insights: New Embedded Vision Summit Content Industrial Applications for Augmented Reality Android Imaging Frameworks Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, New videos from the recent Embedded Vision Summit focus on advanced driver assistance systems (ADAS), industry standards,

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“How Deep Learning Is Enabling Computer Vision Markets,” a Presentation from Tractica

Bruce Daley, Principal Analyst at Tractica, presents the "How Deep Learning Is Enabling Computer Vision Markets" tutorial at the May 2016 Embedded Vision Summit. Deep learning has emerged as one of the most significant enabling technologies in the world of artificial intelligence (AI) and is beginning to be applied to a variety of business processes

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

Neil Trevett, President of the Khronos Group, presents the "Vision API Maze: Options and Trade-offs" tutorial at the May 2016 Embedded Vision Summit. It’s been a busy year in the world of hardware acceleration APIs. Many industry-standard APIs, such as OpenCL and OpenVX, have been upgraded, and the industry has begun to adopt the new

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“Making Existing Cars Smart Via Embedded Vision and Deep Learning,” a Presentation from NAUTO

Stefan Heck, CEO and co-founder of NAUTO, presents the "Making Existing Cars Smart Via Embedded Vision and Deep Learning" tutorial at the May 2016 Embedded Vision Summit. NAUTO is a system that consists of a device, network and app. It's an affordable way to upgrade any car to get network and safety features previously available

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“Sensing Technologies for the Autonomous Vehicle,” a Presentation from NXP Semiconductors

Tom Wilson, ADAS Product Line Manager at NXP Semiconductors, presents the "Sensing Technologies for the Autonomous Vehicle" tutorial at the May 2016 Embedded Vision Summit. Autonomous vehicles will necessarily utilize a range of sensing technologies to see and react to their surroundings. We are witnessing dramatic advances not just for embedded vision, but also in

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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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