Luke Murray, Co-Founder and CTO of XY Sense, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate” interview at the May 2021 Embedded Vision Summit. In the U.S. alone, commercial buildings contain roughly 70 billion square feet of […]
Hila Blecher-Segev, Computer Vision and AI Research Associate at Vision Elements, presents the “Applying the Right Deep Learning Model with the Right Data for Your Application” tutorial at the May 2021 Embedded Vision Summit. Deep learning has made a huge impact on a wide variety of computer vision applications. But while the capabilities of deep
Sebastian Bauer, Postdoctoral Student at the University of Wisconsin – Madison, presents the “Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision” tutorial at the May 2021 Embedded Vision Summit. The single-photon avalanche diode (SPAD) is an emerging image sensing technology with unique capabilities relevant to computer vision applications. Originally designed for
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
“A Highly Data-Efficient Deep Learning Approach,” a Presentation from Samsung Read More +
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
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
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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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
Alejandro Galindo, Head of Research and Development at Iris Automation, presents the “Building an Autonomous Detect-and-Avoid System for Commercial Drones” tutorial at the May 2021 Embedded Vision Summit. Commercial and industrial drones have the potential to completely disrupt industries and create new ones. Used in applications such as infrastructure inspection, search and rescue, package delivery,
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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