Videos

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

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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)

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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)

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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)

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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

Algorithms & Models, Face Detection, Object Tracking, Prophesee, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

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

Algorithms & Models, Industrial Vision (Computer Vision), Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

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

Algorithms & Models, Edge AI and Vision Alliance, Software, Summit 2019, Tools, Videos /

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

Algorithms & Models, Ceva, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

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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“Data Annotation at Scale: Pitfalls and Solutions,” a Presentation from Intel

Algorithms & Models, Intel, Processors, Software, Summit 2019, Tools, Videos /

Nikita Manovich, Senior Software Engineer at Intel, presents the “Data Annotation at Scale: Pitfalls and Solutions” tutorial at the May 2019 Embedded Vision Summit. In many real-world use cases, deep learning algorithms work well if you have enough high-quality data to train them. Obtaining that data is a critical limiting factor in the development of

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“Machine Learning- based Image Compression: Ready for Prime Time?,” a Presentation from Clarifai

Algorithms & Models, Edge AI and Vision Alliance, Processors, Software, Summit 2019, Tools, Videos /

Michael Gormish, Research Manager at Clarifai, presents the “Machine Learning- based Image Compression: Ready for Prime Time?” tutorial at the May 2019 Embedded Vision Summit. Computer vision is undergoing dramatic changes because deep learning techniques are now able to solve complex non-linear problems. Computer vision pipelines used to consist of hand engineered stages mathematically optimized

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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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