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 […]
May 2016 Embedded Vision Summit Proceedings Read More +
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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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.
“A Vision of Safety,” a Presentation from Nauto Read More +
Professor Roberto Manduchi of U.C. Santa Cruz delivers the presentation, "Assistive Technology for the Visually Impaired," at the December 2015 Embedded Vision Alliance Member Meeting. Professor Manduchi explores how embedded vision is being used to assist visually impaired individuals.
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Herman Yau, Co-Founder and CEO of Tend, presents the "Vision-as-a-Service: Democratization of Vision for Consumers and Businesses" tutorial at the May 2015 Embedded Vision Summit. Hundreds of millions of video cameras are installed around the world—in businesses, homes, and public spaces—but most of them provide limited insights. Installing new, more intelligent cameras requires massive deployments
Andy Chang, Senior Manager of Academic Research at National Instruments, presents the "Enabling the Factory of the Future with Embedded Vision" tutorial at the May 2015 Embedded Vision Summit. Manufacturing has changed dramatically over the past few decades and is now changing even faster. Embedded vision is a key enabler for improved efficiency, quality, flexibility,
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
Alon Atsmon, Vice President of Technology Strategy at Harman International, presents the "Harman’s Augmented Navigation Platform—The Convergence of ADAS and Navigation" tutorial at the May 2015 Embedded Vision Summit. Until recently, advanced driver assistance systems (ADAS) and in-car navigation systems have evolved as separate standalone systems. Today, however, the combination of available embedded computing power
Faris Alqadah, CEO and Co-Founder of QM Scientific, delivers the presentation "Combining Vision, Machine Learning and Natural Language Processing to Answer Everyday Questions" at the May 2015 Embedded Vision Alliance Member Meeting. Faris explains how his company's GPU-accelerated Quazi platform combines proprietary natural language processing, computer vision and machine learning technologies to extract, connect and
Mike Aldred, Electronics Lead at Dyson, presents the "Bringing Computer Vision to the Consumer" keynote at the May 2015 Embedded Vision Summit. While vision has been a research priority for decades, the results have often remained out of reach of the consumer. Huge strides have been made, but the final, and perhaps toughest, hurdle is
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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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