Edge AI and Vision Alliance

“Generative Sensing: Reliable Recognition from Unreliable Sensor Data,” a Presentation from Arizona State University

Algorithms & Models, Edge AI and Vision Alliance, Object Identification, Processors, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Lina Karam, Professor and Computer Engineering Director at Arizona State University, presents the “Generative Sensing: Reliable Recognition from Unreliable Sensor Data” tutorial at the May 2018 Embedded Vision Summit. While deep neural networks (DNNs) perform on par with – or better than – humans on pristine high-resolution images, DNN performance is significantly worse than human […]

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“Infusing Visual Understanding in Cloud and Edge Solutions Using State Of-the-Art Microsoft Algorithms,” a Presentation from Microsoft

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Anirudh Koul, Senior Data Scientist, and Jin Yamamoto, Principal Program Manager, both from Microsoft, present the “Infusing Visual Understanding in Cloud and Edge Solutions Using State Of-the-Art Microsoft Algorithms” tutorial at the May 2018 Embedded Vision Summit. Microsoft offers its state-of-the-art computer vision algorithms, used internally in several products, through the Cognitive Services cloud APIs.

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May 2018 Embedded Vision Summit Introductory Presentation (Day 1)

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Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2018 Embedded Vision Summit on May 22, 2018 (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

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May 2018 Embedded Vision Summit Introductory Presentation (Day 2)

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Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2018 Embedded Vision Summit on May 23, 2018 (Day 2). Bier provides an overview of the embedded vision market opportunity, challenges, solutions and trends, in the context of reviewing the presentation highlights and take-aways from the previous day. He also introduces the

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Embedded Vision Insights: June 12, 2018 Edition

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LETTER FROM THE EDITOR Dear Colleague, Newly published on the Alliance website are the first 7 of what will eventually be nearly 100 presentation recordings from last month’s Embedded Vision Summit, as well as the downloadable set of presentation slides that I mentioned last time. Additional presentation recordings, along with nearly 50 demonstration videos, will

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“Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision,” a Presentation from the Università Politecnica delle Marche

Algorithms & Models, Edge AI and Vision Alliance, Processors, Retail, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Emanuele Frontoni, Professor, and Rocco Pietrini, Ph.D. student, both of the Università Politecnica delle Marche, present the “Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision” tutorial at the May 2018 Embedded Vision Summit. In retail environments, there’s great value in understanding how shoppers move in the space and interact with products. And, while

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“Introduction to Creating a Vision Solution in the Cloud,” a Presentation from GumGum

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Nishita Sant, Computer Vision Scientist at GumGum, presents the “Introduction to Creating a Vision Solution in the Cloud” tutorial at the May 2018 Embedded Vision Summit. A growing number of applications utilize cloud computing for execution of computer vision algorithms. In this presentation, Sant introduces the basics of creating a cloud-based vision service, based on

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“Building A Practical Face Recognition System Using Cloud APIs,” a Presentation from the Washington County Sheriff’s Office

Algorithms & Models, Edge AI and Vision Alliance, Face Recognition, Processors, Security, Software, Summit 2018, Tools, Videos /

Chris Adzima, Senior Information Systems Analyst for the Washington County Sheriff’s Office in Oregon, presents the “Building a Practical Face Recognition System Using Cloud APIs” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Adzima walks through the design and implementation of a face recognition system utilizing cloud computing and cloud computer vision

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“Solving Vision Tasks Using Deep Learning: An Introduction,” a Presentation from Google

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Pete Warden, Google research engineer and the tech lead of  the TensorFlow Mobile and Embedded team, presents the “Solving Vision Tasks Using Deep Learning: An Introduction” tutorial at the May 2018 Embedded Vision Summit. This talk introduces deep learning for vision tasks. It provides an overview of deep learning, explores its weaknesses and strengths, and

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“The Four Key Trends Driving the Proliferation of Visual Perception,” a Presentation from the Embedded Vision Alliance

Algorithms & Models, BDTI, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Jeff Bier, Founder of the Embedded Vision Alliance and Co-founder and President of BDTI, presents the “Four Key Trends Driving the Proliferation of Visual Perception” tutorial at the May 2018 Embedded Vision Summit. With so much happening in computer vision applications and technology, and happening so fast, it can be difficult to see the big

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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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