Videos

2019 Vision Product of the Year Award Winner Video: Xilinx (Cloud Solutions)

Nick Ni, Director of Product Marketing at Xilinx, gives a product overview at the 2019 Embedded Vision Summit. Xilinx's AI Platform is the 2019 Vision Product of the Year Award Winner in the Cloud Solutions category. Xilinx’s AI Platform provides a comprehensive set of software and IP to enable hardware accelerated AI inference applications. AI […]

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2019 Vision Product of the Year Award Winner Video: Morpho (Software or Algorithms)

Dr. Masaki Satoh, Senior Research Engineer at Morpho, gives a product overview at the 2019 Embedded Vision Summit. Morpho's Video Processing Software (MVPS) is the 2019 Vision Product of the Year Award Winner in the Software or Algorithms category. MVPS is a suite of video processing software IPs targeted for embedded devices and cloud-based services.

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2019 Vision Product of the Year Award Winner Video: MediaTek (AI Technology)

Finbarr Moynihan, Vice President of Corporate Sales and Business Development at MediaTek, gives a product overview at the 2019 Embedded Vision Summit. MediaTek's Helio P90 is the 2019 Vision Product of the Year Award Winner in the AI Technology category. The MediaTek Helio P90 is an AI processing powerhouse boasting the latest AI Processing Unit

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2019 Vision Product of the Year Award Winner Video: Intel (Developer Tools)

Todd Matsler, Director of Marketing in the Internet of Things Group at Intel, gives a product overview at the 2019 Embedded Vision Summit. Intel's OpenVINO Toolkit is the 2019 Vision Product of the Year Award Winner in the Developer Tools category. The OpenVINO toolkit (available as either the Intel Distribution or the Open Source version)

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2019 Vision Product of the Year Award Winner Video: Infineon Technologies (Cameras and Sensors)

Preet Sibia, Senior Director of Marketing Applications at Infineon Technologies, gives a product overview at the 2019 Embedded Vision Summit. Infineon Technologies' IRS2381C 3D image sensor is the 2019 Vision Product of the Year Award Winner in the Cameras and Sensors category. The IRS2381C is a novel member of the REAL3 product family, Infineon’s portfolio

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2019 Vision Product of the Year Award Winner Video: Horizon Robotics (Automotive Solutions)

Yuan Li, Director of the AI Lab at Horizon Robotics, gives a product overview at the 2019 Embedded Vision Summit. Horizon Robotics' Horizon Matrix is the 2019 Vision Product of the Year Award Winner in the Automotive Solutions category. The Horizon Matrix is an open autonomous driving computing platform. The platform is based on Horizon

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“Neuromorphic Event-based Vision: From Disruption to Adoption at Scale,” a Presentation from Prophesee

Luca Verre, Co-founder and CEO of Prophesee, presents the “Neuromorphic Event-based Vision: From Disruption to Adoption at Scale” tutorial at the May 2019 Embedded Vision Summit. Neuromorphic event-based vision is a new paradigm in imaging technology, inspired by human biology. It promises to dramatically improve machines’ ability to sense their environments and make intelligent decisions

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“Deep Learning for Manufacturing Inspection Applications,” a Presentation from FLIR Systems

Stephen Se, Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection Applications” tutorial at the May 2019 Embedded Vision Summit. Recently, deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition and natural language processing. Se presents

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“Separable Convolutions for Efficient Implementation of CNNs and Other Vision Algorithms,” a Presentation from Phiar

Chen-Ping Yu, Co-founder and CEO of Phiar, presents the “Separable Convolutions for Efficient Implementation of CNNs and Other Vision Algorithms” tutorial at the May 2019 Embedded Vision Summit. Separable convolutions are an important technique for implementing efficient convolutional neural networks (CNNs), made popular by MobileNet’s use of depthwise separable convolutions. But separable convolutions are not

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“Deploying Visual SLAM in Low-power Devices,” a Presentation from CEVA

Ben Weiss, Customer Solutions Engineer in the CSG Group at CEVA, presents the “Deploying Visual SLAM in Low-power Devices” tutorial at the May 2019 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) technology has been evolving for quite some time, including visual SLAM, which relies primarily on image data. But implementing fast, accurate visual SLAM

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