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“Fast Deployment of Low-power Deep Learning on CEVA Vision Processors,” a Presentation from CEVA

Yair Siegel, Director of Segment Marketing at CEVA, presents the "Fast Deployment of Low-power Deep Learning on CEVA Vision Processors" tutorial at the May 2016 Embedded Vision Summit. Image recognition capabilities enabled by deep learning are benefitting more and more applications, including automotive safety, surveillance and drones. This is driving a shift towards running neural …

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“Lessons Learned from Bringing Mobile and Embedded Vision Products to Market,” a Presentation from ARM

Tim Hartley, Product Manager in the Personal Mobile Compute Business Line at ARM, presents the "Lessons Learned from Bringing Mobile and Embedded Vision Products to Market" tutorial at the May 2016 Embedded Vision Summit. Great news: technology is finally at a point where we can build sophisticated computer vision applications that run on mass market …

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“Making Computer Vision Software Run Fast on Your Embedded Platform,” a Presentation from Luxoft

Alexey Rybakov, Senior Director at Luxoft, presents the "Making Computer Vision Software Run Fast on Your Embedded Platform" tutorial at the May 2016 Embedded Vision Summit. Many computer vision algorithms perform well on desktop class systems, but struggle on resource constrained embedded platforms. This how-to talk provides a comprehensive overview of various optimization methods that …

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Optimizing Computer Vision Applications Using OpenCL and GPUs

The substantial parallel processing resources available in modern graphics processors makes them a natural choice for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across GPUs and other heterogeneous processing elements within a system. In this article, we briefly review parallelism in computer vision applications, …

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“The Road Ahead for Neural Networks: Five Likely Surprises,” a Presentation from Cadence

Dr. Chris Rowen, Chief Technology Officer of the IP Group at Cadence, presents the "Road Ahead for Neural Networks: Five Likely Surprises" tutorial at the May 2016 Embedded Vision Summit. Cognitive computing is finally getting real! It has passed through the phases of obscurity and curiosity and is surviving the current phase of breathless hype. …

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“TensorFlow: Enabling Mobile and Embedded Machine Intelligence,” a Presentation from Google

Pete Warden, Research Engineer at Google, presents the "TensorFlow: Enabling Mobile and Embedded Machine Intelligence" tutorial at the May 2016 Embedded Vision Summit. Following a brief overview of the advances in deep learning and AI over the last few years, Pete discusses how Google uses TensorFlow to deploy those advances in products on mobile and …

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“Programming Embedded Vision Processors Using OpenVX,” a Presentation from Synopsys

Pierre Paulin, Senior R&D Director for Embedded Vision at Synopsys, presents the "Programming Embedded Vision Processors Using OpenVX" tutorial at the May 2016 Embedded Vision Summit. OpenVX, a new Khronos standard for embedded computer vision processing, defines a higher level of abstraction for algorithm specification, with the goal of enabling platform and tool innovation in …

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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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May 2016 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Dmitry Morozov, CEO of 3DiVi, Arun Chhabra, CEO of 8tree, Feisal Afzal, Managing Director of Pound Capital (representing Magik Eye), Pree Walia, CEO of Preemadonna, and Aaron Cohen, CEO of SKUR, deliver their Vision Tank finalist presentations at the May 2016 Embedded Vision Summit. The Vision Tank, a unique spin on the Shark Tank reality …

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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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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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