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May 2017 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 1-3, 2017 in Santa Clara, California, as a 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… May 2017 Embedded Vision Summit […]

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Facial Analysis Delivers Diverse Vision Processing Capabilities

Computers can learn a lot about a person from their face – even if they don’t uniquely identify that person. Assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are all now possible at real-time speeds, via advanced algorithms running on cost-effective hardware. This article provides an overview of

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“Making Existing Cars Smart Via Embedded Vision and Deep Learning,” a Presentation from NAUTO

Stefan Heck, CEO and co-founder of NAUTO, presents the "Making Existing Cars Smart Via Embedded Vision and Deep Learning" tutorial at the May 2016 Embedded Vision Summit. NAUTO is a system that consists of a device, network and app. It's an affordable way to upgrade any car to get network and safety features previously available

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“Sensing Technologies for the Autonomous Vehicle,” a Presentation from NXP Semiconductors

Tom Wilson, ADAS Product Line Manager at NXP Semiconductors, presents the "Sensing Technologies for the Autonomous Vehicle" tutorial at the May 2016 Embedded Vision Summit. Autonomous vehicles will necessarily utilize a range of sensing technologies to see and react to their surroundings. We are witnessing dramatic advances not just for embedded vision, but also in

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“What’s Hot in Embedded Vision for Investors?,” an Embedded Vision Summit Panel Discussion

Jeff Bier of the Embedded Vision Alliance (moderator), Don Faria of Intel Capital, Jeff Hennig of Bank of America Merrill Lynch, Gabriele Jansen of Vision Ventures, Helge Seetzen of TandemLaunch, and Peter Shannon of Firelake Capital Management participate in the Investor Panel at the May 2016 Embedded Vision Summit. This moderated panel discussion addresses emerging

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“Computer Vision in Cars: Status, Challenges, and Trends,” a Presentation from videantis

Marco Jacobs, Vice President of Marketing at videantis, presents the "Computer Vision in Cars: Status, Challenges, and Trends" tutorial at the May 2016 Embedded Vision Summit. Just as horse carriages were replaced by cars in the 1920s, human operators in our cars will be replaced by electronics in the 2020s. The benefits are tremendous: self-driving

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May 2016 Embedded Vision Summit Proceedings

The Embedded Vision Summit was held on May 2-4, 2016 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations presented at the Summit are listed below. All of the slides from these presentations are included in… May 2016 Embedded Vision Summit

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Deep Learning Use Cases for Computer Vision (Download)

Six Deep Learning-Enabled Vision Applications in Digital Media, Healthcare, Agriculture, Retail, Manufacturing, and Other Industries The enterprise applications for deep learning have only scratched the surface of their potential applicability and use cases.  Because it is data agnostic, deep learning is poised to be used in almost every enterprise vertical… Deep Learning Use Cases for

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“A Vision of Safety,” a Presentation from Nauto

Stefan Heck of Nauto delivers the presentation, "A Vision of Safety," at the December 2015 Embedded Vision Alliance Member Meeting. Heck explain how his innovative start-up is using embedded vision to bring improved safety to existing vehicles, reducing insurance costs in the process.

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“Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems,” a Presentation from CogniVue

Simon Morris, CEO of CogniVue, presents the "Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems" tutorial at the May 2015 Embedded Vision Summit. The automotive industry has embraced embedded vision as a key safety technology. Many car models today ship with vision-based safety features such as forward collision avoidance and lane

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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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