The Internet of Things on AWS – Official Blog
Category: Amazon SageMaker
Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 1
The following is a survey paper, published and presented to the Academic Congress of Embedded World 2022 at Nuremberg, Germany on June 21st 2022. Abstract Embedded edge devices with multi-sensor data sources are proliferating at an accelerating rate. Devices must be designed, manufactured, installed, connected, and controlled through seven distinct logical layers to securely connect […]
Detect scene changes in remote areas with AWS IoT Events and Amazon SageMaker
Organizations with large numbers of assets need to monitor their physical and operational health, in order to detect issues and act upon them. This post covers the use case of a fictitious industrial organization AcmeDrone that uses drone devices to inspect assets periodically such as infrastructure components like valves, oil/gas pipelines or power transmission lines, […]
Using AWS IoT Greengrass Version 2 with Amazon SageMaker Neo and NVIDIA DeepStream Applications
AWS IoT Greengrass Version 2 was released for general availability during re:Invent 2020. AWS IoT Greengrass is an Internet of Things (IoT) open source edge runtime and cloud service that helps you build, deploy, and manage device software. Customers use AWS IoT Greengrass for their IoT applications on millions of devices in homes, factories, vehicles, […]
AWS IoT Named “Best Consumer IoT Solution” at 2020 IoT World Awards
At AWS, we build technology to help customers and partners like Bose, Vizio, LG, British Gas Centrica Connected Home, Ayla, NXP, and more solve real world problems and unlock possibilities to create better business outcomes and new consumer experiences. Yesterday, IoT World named AWS IoT the “Best Consumer IoT Solution” for 2020. We are grateful to […]
Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 2 of 3: Training a custom object detection model
Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team This post is the second in a series on how to build and deploy a custom object detection model to the edge using Amazon SageMaker and AWS IoT Greengrass. In part 1 of this series, we walked through the training […]
Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 1 of 3: Preparing training data
Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team Running computer vision algorithms at the edge unlocks many industry use cases that has low or limited internet connectivity. Combining services from AWS in the Machine Learning (ML) and Internet of Things (IoT) space, training a custom computer vision model and running […]
Improving industrial safety with video analytics, AWS IoT Core, and AWS IoT Greengrass
Industrial customers are increasingly using the AWS Cloud to meet their targets for predictive quality, predictive maintenance, and asset condition monitoring. For more examples, see the Top Use Cases for Industrial IoT Applications ebook. The first of these, predictive quality, is often strongly correlated with the level of safety in an operating environment. In this […]
Your Guide to AWS IoT at NVIDIA GTC 2019
NVIDIA’s GPU Technology Conference (GTC) 2019 is almost here! We don’t want you to miss any IoT content, so in this blog post we’ll share some technical demonstrations that show how emerging technologies, including IoT, edge computing, AI and machine learning, and robotics, will shape our world. In the AWS Booth (#1221) Anomaly Detection in […]
Machine Learning at the Edge: Using and Retraining Image Classification Models with AWS IoT Greengrass (Part 2)
In part 1 of this blog post, we created an image classification model for a recycling facility’s sorter to identify four beverage containers. We deployed it to our AWS IoT Greengrass Core device using the new AWS IoT Greengrass Image Classification connector. AWS IoT Greengrass connectors, announced at this year’s re:Invent, make it possible for […]
Machine Learning at the Edge: Using and Retraining Image Classification Models with AWS IoT Greengrass (Part 1)
With the introduction of the AWS IoT Greengrass Image Classification connector at this year’s re:Invent, it has become easier than ever to use image classification at the edge through AWS IoT Greengrass. Because it is software that lives on a local device, AWS IoT Greengrass makes it possible to analyze data closer to the source […]