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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.
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NVIDIA Research: Fast Uncertainty Quantification for Deep Object Pose Estimation
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Researchers from NVIDIA, University of Texas at Austin and Caltech developed a simple, efficient, and plug-and-play uncertainty quantification method for the 6-DoF (degrees of freedom) object pose estimation task, using an ensemble of K pre-trained estimators with
Struggles of Running Object Detection on a Raspberry Pi
Frustrated man (Image by Gerd Altmann from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Have you ever been so excited after reading a how-to tutorial or a github readme file, only to discover after following it through that it is not really as
BDTI, Jabil, NVIDIA and Tryolabs Demonstration of AI-based Face Mask Detection and Analytics
BDTI and its partners, Tryolabs S.A. and Jabil Optics, are delighted to announce MaskCam: an open-source smart camera prototype reference design based on the NVIDIA Jetson Nano capable of estimating the number and percentage of people wearing face masks in its field of view. MaskCam was developed as part of an independent, hands-on evaluation of
Getting Machines to Understand Human Emotions
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Throughout season two of the Intel on AI podcast, many of the world’s most prominent artificial intelligence (AI) experts have talked about why they believe machines can’t simply improve performance on large data sets in order for
“A Computer Vision-Based Personal Trainer That Runs On Your Phone,” a Presentation from Twenty BN
Roland Memisevic, CEO, Chief Scientist and Founder of Twenty BN, presents the “Computer Vision-Based Personal Trainer That Runs On Your Phone” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Memisevic describes Twenty BN’s journey towards building an AI-powered personal trainer that runs on your phone. The trainer… “A Computer Vision-Based Personal Trainer
“Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild,” a Presentation from Skydio
Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild” tutorial at the September 2020 Embedded Vision Summit. Skydio ships autonomous robots that are flown at scale in complex, unknown environments every day to capture incredible video, automate dangerous inspections and… “Tackling Extreme Visual Conditions for
“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Skydio
Gareth Cross, Technical Lead for State Estimation at Skydio, presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the September 2020 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross provides foundational knowledge; viewers are not expected to have… “Introduction to Simultaneous Localization and
“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland
Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking” tutorial at the September 2020 Embedded Vision Summit. The recent COVID-19 outbreak necessitated monitoring in communities such as tracking of quarantined residents and tracking of close-contact interactions with sick… “Multi-modal Re-identification: IOT + Computer
“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung
Jake Lee, Principal Engineer and Head of the Machine Learning Group at Samsung, presents the “Image-Based Deep Learning for Manufacturing Fault Condition Detection” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Lee explores applying deep learning to analyzing manufacturing parameter data to detect fault conditions. The manufacturing… “Image-Based Deep Learning for Manufacturing
Building and Deploying a Face Mask Detection Application Using NGC Collections
This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers… Building and Deploying a Face
