Category: AWS Greengrass

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, […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

This post demonstrates how to build a continuous integration and continuous deployment (CI/CD) pipeline for AWS IoT Greengrass projects. Readers should be familiar with AWS IoT Greengrass. This post focuses on streamlining the development process for AWS IoT Greengrass projects rather than explaining the technology itself. If you are not familiar with AWS IoT Greengrass, […]

Co-authored by Aniruddh Chitre, AWS Solutions Architect This post demonstrates how AWS IoT Greengrass can be integrated with a Trusted Platform Module (TPM) to provide hardware-based endpoint device security. This integration ensures the private key used to establish device identity can be securely stored in tamper-proof hardware devices to prevent it from being taken out […]