The Internet of Things on AWS – Official Blog

Category: AWS Greengrass

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 previous 2 parts of the series, we walked you […]

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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

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

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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Implementing a CI/CD pipeline for AWS IoT Greengrass projects

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, […]

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Chain of trust in a device starting from Applications and flowing down through Operating System, Hypervisor, Firmware and finally ending at the Hardware which forms the root of trust.

Using a Trusted Platform Module for endpoint device security in 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 […]

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Converting industrial protocols with AWS IoT Greengrass

Gaining access to sensor data or telemetry of industrial machines is a key requirement for implementing high-value use cases around smart manufacturing or Industry 4.0. For instance, predictive maintenance or automated quality control is not possible without having such data at a high temporal resolution. Given the heterogeneous environment of modern industrial production lines with […]

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Determining state in systems with high-frequency updates using AWS IoT Greengrass

AWS IoT Greengrass extends AWS managed services to edge device systems, providing security, message routing, and local state processing. It also provides a central hub for connectivity with other AWS services using AWS Lambda functions. Some edge systems with multiple devices produce high-frequency updates, such as device shadow updates. It can be difficult to determine […]

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Building Edge Solutions on OpenWrt with AWS IoT Greengrass

Hardware and operating systems for edge devices are built and delivered to customers in a wide range of form factors, such as consumer gateways, industrial controllers, and in-vehicle infotainment systems. Original design manufacturers (ODMs) and original equipment manufacturers (OEMs) building commercial off-the-shelf products decide which hardware and software combinations to use. System integrators (SIs) developing […]

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How to Install a Face Recognition Model at the Edge with AWS IoT Greengrass

Editor Note: This post is co-authored by Gong Xinyue, one of Global Accounts Solution Architects. You might already know how to use AWS IoT Core and AWS IoT Greengrass for remote device communication and control. With AWS IoT Greengrass Machine Learning (ML) Inference, you can run machine learning models on your local devices without any […]

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Deploy AWS IoT Greengrass as a Snap to Your Edge Devices

Canonical and AWS have collaborated to offer AWS IoT Greengrass as snap, a containerized software package that can run on a variety of Linux distributions. The combination of AWS IoT Greengrass and Ubuntu Core provides IoT developers with a fast path from development to production for their secure device. The AWS IoT Greengrass snap, available […]

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