Moritz August, CDO at Nomitri GmbH, presents the “Deploying PyTorch Models for Real-time Inference On the Edge” tutorial at the May 2021 Embedded Vision Summit. In this presentation, August provides an overview of workflows for deploying compressed deep learning models, starting with PyTorch and creating native C++ application code running in real-time on embedded hardware […]
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research’s latest research and techniques for efficient video perception The saying goes that a picture is worth a thousand words, so what does that imply for video? Video, which is essentially a sequence of static
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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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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
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)
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
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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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
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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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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