Resources
In-depth information about the edge AI and vision applications, technologies, products, markets and trends.
The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.
All Resources
Building Real-time Dermatology Classification with NVIDIA Clara AGX
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants:
“Accelerating Edge AI Solution Development with Pre-validated Hardware-Software Kits from Intel Partners,” a Presentation from Intel
Daniel Tsui, Foundational Developer Kit Product Manager at Intel, presents the “Accelerating Edge AI Solution Development with Pre-validated Hardware-Software Kits from Intel Partners” tutorial at the May 2021 Embedded Vision Summit. When developing a new
“For Vision and Edge AI, Are Today’s CPUs Really Old-School?,” a Presentation from Intel, Agent Vi and DarwinAI
Gary Brown, Director of Edge AI Marketing at Intel, AJ Frazer, Vice President of Business Development at Agent Vi, and Sheldon Fernandez, CEO at DarwinAI, co-present the “For Vision and Edge AI, Are Today’s CPUs
“Shrinking Time to Market and Reducing Costs for Retail Using Intel DevCloud for the Edge,” a Presentation from Intel and Vispera
Joe Mayberry, Platform Manager for DevCloud for the Edge at Intel, and Dr. Erdem Yörük, CTO at Vispera, co-present the “Shrinking Time to Market and Reducing Costs for Retail Using Intel DevCloud for the Edge,”
Gas and Particle Sensors: A $2.2B Market in 2026
This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Vehicles still use most gas sensors. Moreover, the consumer market is accelerating the digitalization
Intel Smart Edge: Unleashing Services at the Edge
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Edge computing is emerging as the next transformational technology across industries—and its rapid growth is only increasing.
“Streamlining Development of Edge AI Solutions: A Healthcare Use Case,” a Presentation from Intel
Vaghesh Patel, Senior Software Developer, Adam Bishop, Software Product Manager, and Chen Su, Product Marketing Engineer, all of Intel, co-present the “Streamlining Development of Complete Edge AI Solutions via Customizable Reference Software – A Healthcare
Upcoming Tech Talk Discusses Bringing Edge AI to Life
On July 13, 2021 at 8:00 am PT (11:00 am ET), Alliance Member company NXP Semiconductors will deliver the free tech talk “Bringing Edge AI to Life – from Concept to Production”, in collaboration with
Machine Learning Goes Mainstream – NXP’s eIQ ML Software Development Environment Just Got Smarter and Friendlier
This blog post was originally published by NXP Semiconductors. It is reprinted here with the permission of NXP Semiconductors. Edge intelligence is one of the most disruptive innovations since the advent of the Internet of
Technologies
Mindtech Raises $3.25m to Accelerate Growth of Synthetic Data Training Platform for AI Vision Systems
Sheffield, UK 23rd July 2021 Mindtech Global, developer of the world’s leading end-to-end synthetic data creation platform for training AI vision systems – today announced closing a $3.25 million funding round. The round was led by NPIF – Mercia Equity Finance, which is managed by Mercia and is part of the Northern Powerhouse Investment Fund
“Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach,” a Presentation from Qualcomm
Felix Baum, Director of Product Management at Qualcomm, presents the “Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach” tutorial at the May 2021 Embedded Vision Summit. Qualcomm has invested extensively in its state-of-the-art Qualcomm Neural Network and software stack, including the Qualcomm Neural… “Hate It Or Love It,
New High Resolution USB3 Cameras Engineered to Meet the Challenges of Modern Vision Systems
Teledyne expands its camera portfolio with new high-resolution Lt Series USB3 cameras for use in diverse machine vision applications Ottawa, CANADA, July 22, 2021 – Teledyne is pleased to announce the release of its new Lt Series USB3 high resolution cameras. With robust enclosures and fully locking USB3 connectors, these new cameras are built for
Applications
New High Resolution USB3 Cameras Engineered to Meet the Challenges of Modern Vision Systems
Teledyne expands its camera portfolio with new high-resolution Lt Series USB3 cameras for use in diverse machine vision applications Ottawa, CANADA, July 22, 2021 – Teledyne is pleased to announce the release of its new Lt Series USB3 high resolution cameras. With robust enclosures and fully locking USB3 connectors, these new cameras are built for
Algolux Selected to Mercedes Benz-led AI-SEE Project for Robust Perception in Low Visibility Conditions
The 3-year project features a global consortium working towards Level 4 autonomy for mass-market vehicles Montreal, QC – July 21, 2021 – Algolux, a globally recognized computer vision software company, has been selected to participate in the AI-SEE project led by Mercedes Benz AG to ensure safe driving in poor visibility conditions. Recently named to
“5G and AI Transforming the Next Generation of Robotics,” a Presentation from Qualcomm
Kishore Chakravadhanula, Staff Product Manager at Qualcomm, presents the “5G and AI Transforming the Next Generation of Robotics” tutorial at the May 2021 Embedded Vision Summit. Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for… “5G and AI Transforming the
Functions
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
