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“A New Approach to Mass Transit Security,” a Presentation from Lux Research

Mark Bünger, Vice President of Research at Lux Research, delivers the presentation "A New Approach to Mass Transit Security" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Bünger presents a revolutionary computer-vision-based methodology for public transit safety.

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“Evaluating Early Stage Investment Opportunities in Camera-First Innovations,” a Presentation from Shasta Ventures

Jacob Mullins, Partner at Shasta Ventures, delivers the presentation "Evaluating Early Stage Investment Opportunities in Camera-First Innovations" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Mullins explains why his firm views the camera as an increasingly central link between the physical and digital worlds.

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“Computer Vision at the Edge and in the Cloud: Architectures, Algorithms, Processors, and Tools,” a Presentation from the Embedded Vision Alliance

On April 11, 2018, Embedded Vision Alliance founder Jeff Bier delivered the presentation “Computer Vision at the Edge and in the Cloud: Architectures, Algorithms, Processors, and Tools” to the Santa Clara Valley Chapter of the IEEE Signal Processing Society. Bier discussed the benefits and trade-offs of edge, cloud, and hybrid… “Computer Vision at the Edge

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Embedded Vision Insights: April 10, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, Time is running out! Today is the last day to save 15% on your 2018 Embedded Vision Summit registration pass with our Early Bird Discount. Don’t miss the chance to accelerate your learning curve and uncover practical techniques in computer vision by attending some of our 80+ “how-to” sessions.

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“Instrumenting Greenhouses as Data-driven Manufacturing Facilities,” a Presentation from IUNU

Matt King, Chief Technology Officer at IUNU, delivers the presentation "Instrumenting Greenhouses as Data-driven Manufacturing Facilities" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. King explains how his company is enabling increased efficiency in commercial greenhouses using robotic cameras, computer vision and machine learning.

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TI Gives Sight to Vision-Enabled Automotive Technologies

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cars continue to become smarter and smarter, integrating new and cutting-edge technologies to make the driving experience safer and more enjoyable. With the goal of reducing roadway fatalities, enabling these new advanced driver assistance

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What Role Does Color Play in Image Processing?

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. Almost everyone associates the concept of color with very personal experiences. The fact that our eyes can distinguish millions of color shades has brought us many advantages in the course of evolution – after all, thanks to our

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“The Caffe2 Framework for Mobile and Embedded Deep Learning,” a Presentation from Facebook

Fei Sun, software engineer at Facebook, delivers the presentation "The Caffe2 Framework for Mobile and Embedded Deep Learning" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Sun introduces Caffe2, a new open-source machine learning framework, and explains how Facebook is using it to enable computer vision in mobile and embedded devices.

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Embedded Vision Insights: March 27, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, Keeping up with the rapid pace of vision technology advances can be overwhelming. Accelerate your learning curve and uncover practical techniques in computer vision by attending some of our 80+ "how-to" sessions at the 2018 Embedded Vision Summit, taking place May 21-24 in Santa Clara, California. You'll learn about

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TI Vision SDK, Optimized Vision Libraries for ADAS Systems

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction There were 1.2 million global traffic deaths in 20101. 93 percent of traffic accidents in the US are due to human error, typically due to inattention2. ADAS (Advanced Driver Assistance Systems) applications such as

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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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Walnut Creek, CA 94596

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