The Internet of Things on AWS – Official Blog
Tag: aws iot greengrass
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 […]
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 […]
Collecting, organizing, monitoring, and analyzing industrial data at scale using AWS IoT SiteWise (Part 1)
Post by Saras Kaul, Senior Product Manager of IoT SiteWise, Asim Kumar Sasmal, Senior Data Architect, and Mark Gilbert, Senior Consultant in the IoT Global Specialty Practice of AWS Professional Services. Industrial customers have been looking for a secure, cost-effective, and reliable field-to-cloud solution that does the following: Ingests all their data from hundreds of industrial sites that […]
Determining state in systems with high-frequency updates using AWS IoT Greengrass
Update: The content in this blog references AWS IoT Greengrass v1. AWS recommends that customers who require IoT services at the edge deploy AWS IoT Greengrass v2. AWS IoT Greengrass v2 builds on the architectural pillars of AWS IoT Greengrass v1 with a robust, extensible gateway core and a completely new API supporting a wide variety of […]
Building Edge Solutions on OpenWrt with AWS IoT Greengrass
Update: The content in this blog references AWS IoT Greengrass v1, which has been replaced AWS IoT Greengrass v2. AWS IoT Greengrass v2 builds on the powerful architectural pillars of Greengrass v1 with a robust, extensible gateway core that is supported on a wide set of devices. Moreover, AWS IoT Greengrass v2 has a new […]
Automating AWS IoT Greengrass Setup With AWS CloudFormation
In this blog post, I will show you how you can use AWS CloudFormation to set up AWS IoT Greengrass quickly and in a repeatable manner. I will discuss the AWS IoT Greengrass resource types and how they are related to a Greengrass group deployment. I will also demonstrate a deployment that uses an AWS […]
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 […]
Using Chainer Neural Network Framework with AWS Greengrass ML Inference
Starting today, Greengrass ML inference includes a pre-built Chainer package for all devices powered by Intel Atom, NVIDIA Jetson TX2, and Raspberry Pi. So, you don’t have to build and configure the ML framework for your devices from scratch. With this launch, we now provide pre-built packages for three popular machine learning frameworks including TensorFlow, […]