Edge AI and Vision Alliance

“Lessons From the Start-up Trenches,” a Presentation by and Interview with Oliver Gunasekara

Independent consultant Oliver Gunasekara and Shweta Shrivastava, chief product officer at Nauto, present the “Lessons From the Start-up Trenches” tutorial at the September 2020 Embedded Vision Summit. This interview with Oliver Gunasekara, founder and CEO of NGCodec, explores lessons learned during the journey of NGCodec—a video codec developer—from its founding in 2012 to its successful […]

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to

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“CMOS Image Sensors: A Guide to Building the Eyes of a Vision System,” a Presentation from GoPro

Jon Stern, Director of Optical Systems at GoPro, presents the “CMOS Image Sensors: A Guide to Building the Eyes of a Vision System” tutorial at the September 2020 Embedded Vision Summit. Improvements in CMOS image sensors have been instrumental in lowering barriers for embedding vision into a broad range of systems. For example, a high

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Edge AI and Vision Insights: January 13, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, The 100% virtual 2021 Embedded Vision Summit, the premier conference for innovators adding computer vision and visual AI to products, is coming May 25-27—and we’re excited about the program that’s taking shape! At the Summit, you’ll be able to: See an amazing range of technology in action—we’re talking dozens

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“Deep Learning on Mobile Devices,” a Presentation from Siddha Ganju

Independent AI architect Siddha Ganju  presents the “Deep Learning on Mobile Devices” tutorial at the September 2020 Embedded Vision Summit. Over the last few years, convolutional neural networks (CNNs) have grown enormously in popularity, especially for computer vision. Many applications running on smartphones and wearable devices could benefit from the capabilities of CNNs. However, CNN’s

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“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook

Raghuraman Krishnamoorthi, Software Engineer at Facebook, presents the “Practical DNN Quantization Techniques and Tools” tutorial at the September 2020 Embedded Vision Summit. Quantization is a key technique to enable the efficient deployment of deep neural networks. In this talk, Krishnamoorthi presents an overview of techniques for quantizing convolutional neural networks for inference with integer weights

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“Can You Patent Your AI-Based Invention?,” a Presentation from Fitch, Even, Tabin & Flannery LLP

Thomas Lebens, Partner at Fitch, Even, Tabin & Flannery LLP, presents the “Can You Patent Your AI-Based Invention?” tutorial at the September 2020 Embedded Vision Summit. Patenting inventions is one way to capitalize on the hard work and creativity that drives an innovative product, but recent cases have made things difficult for innovators whose inventions

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Free Webinar Explores Adding Visual AI or Computer Vision to Your Embedded System

On February 9, 2021 at 9 am PT (noon ET), the Edge AI and Vision Alliance’s Founder, Jeff Bier, and Vice President of Special Projects, Phil Lapsley, will present the free hour webinar “Adding Visual AI or Computer Vision to Your Embedded System: Key Things Every Engineering Manager Should Know,” in partnership with Aspencore. Here’s

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“Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models,” a Presentation from EJ Technology Consultants

Evan Juras, Computer Vision Engineer at EJ Technology Consultants, presents the “Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models” tutorial at the September 2020 Embedded Vision Summit. Data augmentation is a method of expanding deep learning training datasets by making various automated modifications to existing images in the dataset. The resulting

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“Video Activity Recognition with Limited Data for Smart Home Applications,” a Presentation from Comcast

Hongcheng Wang, Director of Technical Research at Comcast, presents the “Video Activity Recognition with Limited Data for Smart Home Applications” tutorial at the September 2020 Embedded Vision Summit. Comcast’s Xfinity Home connects millions of home smart cameras and IoT devices to improve its customers’ safety and security. The company’s teams use computer vision and deep

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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.

Contact

Address

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

Phone
Phone: +1 (925) 954-1411
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