The Internet of Things on AWS – Official Blog

Category: Amazon SageMaker

Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 3 of 3: Deploying to the edge

Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 3 of 3: Deploying to the edge

Post by Angela Wang and Tanner McRae, Senior Engineers on the AWS Solutions Architecture R&D and Innovation team This post is the third 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 the previous 2 parts of the series, we walked […]

Synadia builds next generation pill verification systems with AWS IoT and ML

U.S. prescription medications costs are approaching $500 billion a year and growing up to 7% annually, according to a House Ways and Means Committee report. In this market, billions of dollars in unused medicines are still wasted annually due to traditional packaging that usually contains more pills or tablets than those prescribed by physicians. Automated pill […]

Drive efficiencies in sustainable waste management using AWS IoT Core

According to the UK local government association, councils spend around £852 million per year on waste collection. Therefore, even a small savings of 5% is considerable, amounting to £42.6 million. Additionally, when it comes to food, globally, we waste almost 1 billion tonnes of food each year. According to WRAP charity, businesses and governments are […]

Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 2

The following is a survey paper, published and presented to the Academic Congress of Embedded World 2022 at Nuremberg, Germany on June 21st 2022. Part 1 – Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 1 Provisioning Layer The provisioning layer of your IoT workloads consists of the Public Key […]

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, […]

This image displays the architecture of the integration between AWS IoT Greengrass V2 and NVIDIA Jetson modules.

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

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

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

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 […]