The Internet of Things on AWS – Official Blog

Category: AWS IoT Greengrass

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, […]

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This image shows how the customer leverages AWS IoT Device Management to securely manage their fleet of connected refrigerators

Connecting home appliances with a smart home solution built on AWS in the AWS China Region

This blog post introduces how the manufacturers of home appliances can use AWS Services to build and maintain their smart home solutions. These solutions are both the platforms that power their connected products as well as the applications consumers use to control those products. This blog post illustrates a real use case from a customer […]

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How Genie® (a Terex® brand) improved paint quality using AWS IoT SiteWise

Post by David McClellan, P.E., Engineering Manager and Jason Crozier, Cloud Architect at Terex. Genie®, a Terex® Brand, is a global manufacturer of lifting and material handling products and services delivering lifecycle solutions that maximize customer return on investment. In this post, we discuss how Genie used an AWS IoT SiteWise based solution to ingest, […]

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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 […]

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The following diagram presents the architecture of the solution demonstrated in this post.

How to integrate NVIDIA DeepStream on Jetson Modules with AWS IoT Core and AWS IoT Greengrass

AWS continually evolves our edge computing offerings to provide customers with the technology they need to extend AWS services to edge devices, such as consumer products or manufacturing equipment, and enable them to act intelligently. This helps customers avoid unnecessary cost and latency, and empower customers with the ability to manage edge devices securely and […]

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Connecting disparate industrial systems to AWS using Ignition Edge

Connecting disparate industrial systems to AWS using Ignition Edge

Enabling operational data connectivity to AWS IoT Greengrass seamlessly extends AWS to the edge to provide tools to act locally on the OT data, while still using the cloud for management, analytics, and durable storage. With AWS IoT Greengrass and the Cirrus Link MQTT Transmission module on the Ignition platform from Inductive Automation, industrial data […]

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AWS IoT for Industrial Solutions

Industrial IoT – From Condition Based Monitoring to Predictive Quality to digitize your factory with AWS IoT Services

Industrial IoT (IIoT) bridges the gap between industrial equipment and automation networks (usually called OT, Operations Technology) and Information Technology (IT). In IT, use of new technologies such as machine learning, cloud, mobile, and edge computing are becoming commonplace. IIoT brings machines, cloud computing, analytics, and people together to improve performance, productivity, and efficiency of […]

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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 […]

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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 […]

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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 […]

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