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3DiVi Demonstration of a Motion Control Sensor for Virtual Reality

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Dmitry Morozov, Co-founder of 3DiVi, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Morozov demonstrates the company's VicoVR motion control sensor for virtual reality systems. The VicoVR controller is a revolutionary Bluetooth peripheral that brings wireless full body tracking capability to the Android and iOS VR […]

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“Dataflow: Where Power Budgets Are Won and Lost,” a Presentation from Movidius

Algorithms, Intel, Processors, Software, Tools, Videos /

Sofiane Yous, Principal Scientist in the machine intelligence group at Movidius, presents the "Dataflow: Where Power Budgets Are Won and Lost" tutorial at the May 2016 Embedded Vision Summit. This presentation showcases stories from the front lines in the battle between power and performance in embedded vision, deep learning and computational imaging applications. First, Youse

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May 2016 Embedded Vision Summit Introductory Presentation (Day 1)

Edge AI and Vision Alliance, Videos /

Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2016 Embedded Vision Summit on May 2, 2016 (Day 1). Bier provides an overview of the embedded vision market opportunity, challenges, solutions and trends. He also introduces the Embedded Vision Alliance and the resources it offers for both product creators and potential

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“Using the OpenCL C Kernel Language for Embedded Vision Processors,” a Presentation from Synopsys

Algorithms, Processors, Software, Synopsys, Tools, Videos /

Seema Mirchandaney, Engineering Manager for Software Tools at Synopsys, presents the "Using the OpenCL C Kernel Language for Embedded Vision Processors" tutorial at the May 2016 Embedded Vision Summit. OpenCL C is a programming language that is used to write computation kernels. It is based on C99 and extended to support features such as multiple

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“NVIDIA VisionWorks, a Toolkit for Computer Vision,” a Presentation from NVIDIA

Algorithms, NVIDIA, Processors, Software, Tools, Videos /

Elif Albuz, Technical Lead for the VisionWorks Toolkit at NVIDIA, presents the "NVIDIA VisionWorks, a Toolkit for Computer Vision" tutorial at the May 2016 Embedded Vision Summit. In this talk, Albuz introduces the NVIDIA VisionWorks toolkit, a software development package for computer vision and image processing. VisionWorks implements and extends the Khronos OpenVX standard, and

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“High-resolution 3D Reconstruction on a Mobile Processor,” a Presentation from Qualcomm

Algorithms, Processors, Qualcomm, Sensors, Software, Tools, Videos /

Michael Mangan, Product Manager for Camera and Computer Vision at Qualcomm, presents the "High-resolution 3D Reconstruction on a Mobile Processor" tutorial at the May 2016 Embedded Vision Summit. Computer vision has come a long way. Use cases that were previously not possible in mass-market devices are now more accessible thanks to advances in depth sensors

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“Getting from Idea to Product with 3D Vision,” a Presentation from Intel and MathWorks

Algorithms, Intel, MathWorks, Processors, Sensors, Software, Tools, Videos /

Anavai Ramesh, Senior Software Engineer at Intel, and Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, present the "Getting from Idea to Product with 3D Vision" tutorial at the May 2016 Embedded Vision Summit. To safely navigate autonomously, cars, drones and robots need to understand their surroundings in three dimensions. While 3D vision

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“Should Visual Intelligence Reside in the Cloud or at the Edge? Trade-offs in Privacy, Security and Performance,” a Presentation from Silk Labs

Algorithms, Edge AI and Vision Alliance, Privacy, Processors, Software, Videos /

Andreas Gal, CEO of Silk Labs, presents the "Should Visual Intelligence Reside in the Cloud or at the Edge? Trade-offs in Privacy, Security and Performance" tutorial at the May 2016 Embedded Vision Summit. The Internet of Things continues to expand and develop, including more intelligent connected devices that respond to people’s needs and alert them

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“Using SGEMM and FFTs to Accelerate Deep Learning,” a Presentation from ARM

Algorithms, Arm, Processors, Software, Tools, Videos /

Gian Marco Iodice, Software Engineer at ARM, presents the "Using SGEMM and FFTs to Accelerate Deep Learning" tutorial at the May 2016 Embedded Vision Summit. Matrix Multiplication and the Fast Fourier Transform are numerical foundation stones for a wide range of scientific algorithms. With the emergence of deep learning, they are becoming even more important,

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“Video Stabilization Using Computer Vision: Techniques for Embedded Devices,” a Presentation from CEVA

Algorithms, Ceva, Processors, Software, Tools, Videos /

Ben Weiss, Computer Vision Developer at CEVA, presents the "Video Stabilization Using Computer Vision: Techniques for Embedded Devices" tutorial at the May 2016 Embedded Vision Summit. Today, video streams are increasingly captured by small, moving devices, including action cams, smartphones and drones. These devices enable users to capture video conveniently in a wide range of

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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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