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Summit

“The OpenVX Computer Vision and Neural Network Inference Library Standard for Portable, Efficient Code,” a Presentation from AMD

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Radhakrishna Giduthuri, Software Architect at Advanced Micro Devices (AMD), presents the “OpenVX Computer Vision and Neural Network Inference Library Standard for Portable, Efficient Code” tutorial at the May 2018 Embedded Vision Summit. OpenVX is an industry-standard computer vision and neural network inference API designed for efficient implementation on a variety of embedded platforms. The API […]

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“High-end Multi-camera Technology, Applications and Examples,” a Presentation from XIMEA

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Max Larin, CEO of XIMEA, presents the “High-end Multi-camera Technology, Applications and Examples” tutorial at the May 2018 Embedded Vision Summit. For OEMs and system integrators, many of today’s applications in VR/AR/MR, ADAS, measurement and automation require multiple coordinated high performance cameras. Current generic components are not optimized to achieve the desired traits in terms

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“Deploying CNN-based Vision Solutions on a $3 Microcontroller,” a Presentation from Au-Zone Technologies

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Greg Lytle, VP of Engineering at Au-Zone Technologies, presents the “Deploying CNN-based Vision Solutions on a $3 Microcontroller” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Lytle explains how his company designed, trained and deployed a CNN-based embedded vision solution on a low-cost, Cortex-M-based microcontroller (MCU). He describes the steps taken to

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“Machine Learning Inference In Under 5 mW with a Binarized Neural Network on an FPGA,” a Presentation from Lattice Semiconductor

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Abdullah Raouf, Senior Marketing Manager at Lattice Semiconductor, presents the “Machine Learning Inference In Under 5 mW with a Binarized Neural Network on an FPGA” tutorial at the May 2018 Embedded Vision Summit. The demand for always-on intelligence is rapidly increasing in various applications. You can find cameras that are always watching for anomalies in

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May 2018 Embedded Vision Summit Introductory Presentation (Day 1)

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Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2018 Embedded Vision Summit on May 22, 2018 (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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May 2018 Embedded Vision Summit Introductory Presentation (Day 2)

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Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2018 Embedded Vision Summit on May 23, 2018 (Day 2). Bier provides an overview of the embedded vision market opportunity, challenges, solutions and trends, in the context of reviewing the presentation highlights and take-aways from the previous day. He also introduces the

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“Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision,” a Presentation from the Università Politecnica delle Marche

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Emanuele Frontoni, Professor, and Rocco Pietrini, Ph.D. student, both of the Università Politecnica delle Marche, present the “Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision” tutorial at the May 2018 Embedded Vision Summit. In retail environments, there’s great value in understanding how shoppers move in the space and interact with products. And, while

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“Programming Techniques for Implementing Inference Software Efficiently,” a Presentation from Codeplay Software

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Andrew Richards, CEO and Founder of Codeplay Software, presents the “Programming Techniques for Implementing Inference Software Efficiently” tutorial at the May 2018 Embedded Vision Summit. When writing software to deploy deep neural network inferencing, developers are faced with an overwhelming range of options, from a custom-coded implementation of a single model to using a deep

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“Introduction to Creating a Vision Solution in the Cloud,” a Presentation from GumGum

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Nishita Sant, Computer Vision Scientist at GumGum, presents the “Introduction to Creating a Vision Solution in the Cloud” tutorial at the May 2018 Embedded Vision Summit. A growing number of applications utilize cloud computing for execution of computer vision algorithms. In this presentation, Sant introduces the basics of creating a cloud-based vision service, based on

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“Building A Practical Face Recognition System Using Cloud APIs,” a Presentation from the Washington County Sheriff’s Office

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Chris Adzima, Senior Information Systems Analyst for the Washington County Sheriff’s Office in Oregon, presents the “Building a Practical Face Recognition System Using Cloud APIs” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Adzima walks through the design and implementation of a face recognition system utilizing cloud computing and cloud computer vision

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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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