Edge AI and Vision Alliance

Edge AI and Vision Insights: November 10, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, Every year, the Edge AI and Vision Alliance surveys developers to understand what chips and tools they use to build visual AI systems. This is our eighth year conducting the survey, and we would like to get your opinions. Many suppliers of computer vision building-block technologies use the results […]

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May 2021 Embedded Vision Summit Slides

The Embedded Vision Summit was held online on May 25-28, 2021, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in PDF form. To… May 2021 Embedded Vision Summit

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“Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate,” an Alliance Interview with XY Sense

Luke Murray, Co-Founder and CTO of XY Sense, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate” interview at the May 2021 Embedded Vision Summit. In the U.S. alone, commercial buildings contain roughly 70 billion square feet of

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“Applying the Right Deep Learning Model with the Right Data for Your Application,” a Presentation from Vision Elements

Hila Blecher-Segev, Computer Vision and AI Research Associate at Vision Elements, presents the “Applying the Right Deep Learning Model with the Right Data for Your Application” tutorial at the May 2021 Embedded Vision Summit. Deep learning has made a huge impact on a wide variety of computer vision applications. But while the capabilities of deep

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“An Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision,” a Presentation from the University of Wisconsin – Madison

Sebastian Bauer, Postdoctoral Student at the University of Wisconsin – Madison, presents the “Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision” tutorial at the May 2021 Embedded Vision Summit. The single-photon avalanche diode (SPAD) is an emerging image sensing technology with unique capabilities relevant to computer vision applications. Originally designed for

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Edge AI and Vision Insights: October 27, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, The next Embedded Vision Summit will take place as a live event from May 17-19, 2022 in Santa Clara, California. The Embedded Vision Summit is the key event for system and application developers who are incorporating computer vision and visual AI into products. It attracts a unique audience of

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“Person Re-Identification and Tracking at the Edge: Challenges and Techniques,” a Presentation from the University of Auckland

Morteza Biglari-Abhari, Senior Lecturer at the University of Auckland, presents the “Person Re-Identification and Tracking at the Edge: Challenges and Techniques” tutorial at the May 2021 Embedded Vision Summit. Numerous video analytics applications require understanding how people are moving through a space, including the ability to recognize when the same person has moved outside of

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“DNN Training Data: How to Know What You Need and How to Get It,” a Presentation from Tech Mahindra

Abhishek Sharma, Practice Head for Engineering AI at Tech Mahindra, presents the “DNN Training Data: How to Know What You Need and How to Get It” tutorial at the May 2021 Embedded Vision Summit. Successful training of deep neural networks requires the right amounts and types of annotated training data. Collecting, curating and labeling this

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“Automotive Vision – What’s Growing, What’s Not, and Why?,” a Presentation from Strategy Analytics

Ian Riches, Vice President of Automotive Practice and Director at Strategy Analytics, presents the “Automotive Vision Systems – What’s Growing, What’s Not, and Why?” tutorial at the May 2021 Embedded Vision Summit. In this presentation, Riches looks at the key applications and use cases that are driving rapid adoption of vision systems in automotive applications,

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“A Highly Data-Efficient Deep Learning Approach,” a Presentation from Samsung

Patrick Bangert, Vice President of AI at Samsung, presents the “Highly Data-Efficient Deep Learning Approach” tutorial at the May 2021 Embedded Vision Summit. Many applications, such as medical imaging, lack the large amounts of data required for training popular CNNs to achieve sufficient accuracy. Often, these same applications suffer from an imbalanced class distribution problem

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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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