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“Computer Vision for the Built Environment,” a Presentation from Nomad Go

David Greschler, CEO and co-founder of Nomad Go, presents the “Computer Vision for the Built Environment” tutorial at the May 2021 Embedded Vision Summit. Facilities and operations managers of buildings, college campuses, retail and foodservice establishments all struggle to answer one fundamental question: “What are people doing in our spaces?” Computer vision – specifically edge […]

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“Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing,” a Presentation from Nedra

Alexander Belugin, Computer Vision Product Manager at Nedra, presents the “Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing” tutorial at the May 2021 Embedded Vision Summit. Deploying computer vision-based solutions in very remote locations (such as those often found in mining and oil drilling) introduces unique challenges. For example, it

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MicroSys Partners with Leading AI Chipmaker Hailo to Launch High-Performance, Embedded AI Platform

MicroSys miriac® embedded modules and platforms combined with Hailo-8™ AI acceleration modules offer a high-performance, scalable embedded platform for AI processing at the edge, with applications in fields such as Industry 4.0, automotive and heavy machinery Columbia, MD and Tel Aviv, Israel, September 30th, 2021 – MicroSys Electronics announced today its partnership with leading AI (Artificial Intelligence)

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“Improving Nursing Care with Privacy-Sensitive Edge Computer Vision,” a Presentation from Kepler Vision Technologies

Harro Stokman, Chief Executive Officer and Founder of Kepler Vision Technologies, presents the “Improving Nursing Care with Privacy-Sensitive Edge Computer Vision” tutorial at the May 2021 Embedded Vision Summit. Around the world, there is a serious and growing shortage of nurses. Nursing care at night is a particular challenge because night shifts are less attractive

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“Optimizing ML Systems for Real-World Deployment,” a Presentation from iRobot

Danielle Dean, Technical Director of Machine Learning at iRobot, presents the “Optimizing ML Systems for Real-World Deployment” tutorial at the May 2021 Embedded Vision Summit. In the real world, machine learning models are components of a broader software application or system. In this talk, Dean explores the importance of optimizing the system as a whole–not

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“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Gareth Cross

Independent game developer (and former technical lead of state estimation at Skydio) Gareth Cross presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the May 2021 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross aims to provide foundational knowledge, and viewers are not

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“Efficient Deep Learning for 3D Point Cloud Understanding,” a Presentation from Facebook

Bichen Wu, Research Scientist at Facebook Reality Labs, presents the “Efficient Deep Learning for 3D Point Cloud Understanding” tutorial at the May 2021 Embedded Vision Summit. Understanding the 3D environment is a crucial computer vision capability required by a growing set of applications such as autonomous driving, AR/VR and AIoT. 3D visual information, captured by

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“Modern Machine Vision from Basics to Advanced Deep Learning,” a Presentation from Deep Netts

Zoran Sevarac, Associate Professor at the University of Belgrade and Co-founder and CEO of Deep Netts, presents the “Modern Machine Vision from Basics to Advanced Deep Learning” tutorial at the May 2021 Embedded Vision Summit. In this talk, Sevarac introduces the fundamentals of deep learning for image understanding. He begins by explaining the basics of

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“Intelligent Vision System for Grains,” a Presentation from CSEM

Andrea Dunbar, Sector Head for Edge AI and Vision at CSEM, presents the “Intelligent Vision System for Grains” tutorial at the May 2021 Embedded Vision Summit. In this presentation, Dunbar discusses the challenges and lessons learned in implementing a custom intelligent vision system to detect types of grain and measure flow rate and morphology of

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Variscite and Sequitur Labs’ New Partnership Accelerates the Development of Reliable and Secure IoT Products

September 29, 2021 – Variscite, a leading worldwide System on Module vendor in the embedded market, announced a new partnership with Sequitur Labs, a leading security company providing a complete chip-to-cloud software solution for secure device design, manufacturing, and lifecycle management. The collaboration aims to deliver a complete security solution for customers using Variscite’s i.MX8

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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