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“Semantic Segmentation for Scene Understanding: Algorithms and Implementations,” a Presentation from Auviz Systems

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

Nagesh Gupta, Founder and CEO of Auviz Systems, presents the "Semantic Segmentation for Scene Understanding: Algorithms and Implementations" tutorial at the May 2016 Embedded Vision Summit. Recent research in deep learning provides powerful tools that begin to address the daunting problem of automated scene understanding. Modifying deep learning methods, such as CNNs, to classify pixels […]

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“How Computer Vision Is Accelerating the Future of Virtual Reality,” a Presentation from AMD

Algorithms, AMD, Processors, Sensors and Cameras, Software, Tools, Videos /

Allen Rush, Fellow at AMD, presents the "How Computer Vision Is Accelerating the Future of Virtual Reality" tutorial at the May 2016 Embedded Vision Summit. Virtual reality (VR) is the new focus for a wide variety of applications including entertainment, gaming, medical, science, and many others. The technology driving the VR user experience has advanced

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Computer Vision as the New Industry Growth Driver? Perspectives from the Embedded Vision Summit Investor Panel

Articles, Edge AI and Vision Alliance, Technical Articles /

This article was originally published by Embedded Vision Alliance consultant Dave Tokic. It is reprinted here with Tokic's permission. It seems to me that hardly a day goes by without some mention of self-driving cars (mostly good, some tragic), drones that follow you to record your ski run, augmented and virtual reality goggles that immerse

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Embedded Vision Insights: July 19, 2016 Edition

Edge AI and Vision Alliance, Newsletters /

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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“Is Vision the New Wireless?,” a Presentation from Qualcomm

Algorithms, Processors, Qualcomm, Sensors and Cameras, Software, Tools, Videos /

Raj Talluri, Senior Vice President of Product Management at Qualcomm Technologies, presents the "Is Vision the New Wireless?" tutorial at the May 2016 Embedded Vision Summit. Over the past 20 years, digital wireless communications has become an essential technology for many industries, and a primary driver for the electronics industry. Today, computer vision is showing

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

Edge AI and Vision Alliance, onsemi, Sensors and Cameras, Videos /

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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“Understanding Camera Subsystems for Your Embedded Vision System and Making the Right Choice,” a Presentation from Basler

Basler, Sensors and Cameras, Videos /

Gerrit Fischer, Head of Product Market Management at Basler, presents the "Understanding Camera Subsystems for Your Embedded Vision System and Making the Right Choice" tutorial at the May 2016 Embedded Vision Summit. More than ever, you have a wide range of camera subsystems to choose from. At one end of the spectrum, a system designer

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“Efficient Convolutional Neural Network Inference on Mobile GPUs,” a Presentation from Imagination Technologies

Algorithms, Imagination Technologies, Processors, Software, Tools, Videos /

Paul Brasnett, Principal Research Engineer at Imagination Technologies, presents the "Efficient Convolutional Neural Network Inference on Mobile GPUs" tutorial at the May 2016 Embedded Vision Summit. GPUs have become established as a key tool for training of deep learning algorithms. Deploying those algorithms on end devices is a key enabler to their commercial success and

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“Accelerating Deep Learning Using Altera FPGAs,” a Presentation from Intel

Algorithms, Intel, Processors, Software, Tools, Videos /

Bill Jenkins, Senior Product Specialist for High Level Design Tools at Intel, presents the "Accelerating Deep Learning Using Altera FPGAs" tutorial at the May 2016 Embedded Vision Summit. While large strides have recently been made in the development of high-performance systems for neural networks based on multi-core technology, significant challenges in power, cost and, performance

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Embedded Vision Insights: July 7, 2016 Edition

Edge AI and Vision Alliance, Newsletters /

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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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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