Summit 2021

“A Highly Data-Efficient Deep Learning Approach,” a Presentation from Samsung

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Patrick Bangert, Vice President of AI at Samsung, presents the “Highly Data-Efficient Deep Learning Approach” tutorial at the May 2021 Embedded Vision Summit. Many applications, such as medical imaging, lack the large amounts of data required for training popular CNNs to achieve sufficient accuracy. Often, these same applications suffer from an imbalanced class distribution problem […]

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“Challenges in Vision-based Adaptive Traffic Control Systems,” a Presentation from Sahaj Software Solutions

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Venkatesh Wadawadagi, Solution Consultant at Sahaj Software Solutions, presents the “Challenges in Vision-based Adaptive Traffic Control Systems” tutorial at the May 2021 Embedded Vision Summit. Adaptive traffic control systems (ATCSs) adjust traffic signal timing based on demand. Wadawadagi begins by presenting the main building blocks of a vision-based ATCS, including pre-processing, vehicle detection, vehicle classification

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“10 Things You Must Know Before Designing Your Own Camera,” a Presentation from Panopteo

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Alex Fink, consultant at Panopteo, presents the “10 Things You Must Know Before Designing Your Own Camera” tutorial at the May 2021 Embedded Vision Summit. Computer vision requires vision. This is why companies that use computer vision often decide they need to create a custom camera module (and perhaps other custom sensors) that meets the

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“Maintaining DNN Accuracy When the Real World is Changing,” a Presentation from Observa

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Erik Chelstad, CTO and co-founder of Observa, presents the “Maintaining DNN Accuracy When the Real World is Changing” tutorial at the May 2021 Embedded Vision Summit. We commonly train deep neural networks (DNNs) on existing data and then use the trained model to make predictions on new data. Once trained, these predictive models approximate a

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“Deploying PyTorch Models for Real-time Inference On the Edge,” a Presentation from Nomitri

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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

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

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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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“Secure Hardware Architecture for Embedded Vision,” a Presentation from NeuroBinder

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Jonathan Cefalu, CEO and founder of NeuroBinder, presents the “Secure Hardware Architecture for Embedded Vision” tutorial at the May 2021 Embedded Vision Summit. Security is a problem for every IoT system, but due to privacy concerns, security is particularly worrisome for embedded vision systems. In this talk, Cefalu covers how to design your embedded device

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

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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

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

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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

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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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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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