The Internet of Things on AWS – Official Blog

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 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

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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Introducing Secure Tunneling for AWS IoT Device Management, a new secure way to troubleshoot IoT devices

AWS IoT Device Management has a breadth of tools that enable businesses to build  IoT applications for every industry. However, when it comes to remote access to devices, that typically has involved a customer sending a control message either through a MQTT topic, or updating the device’s shadow and then having the device agent take action […]

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Route data directly from IoT Core to your web services

In this blog post, we will explain how you can use AWS IoT Core Rules Engine’s HTTP action to send data directly to your existing HTTPS endpoint without writing additional code or making changes to published code. With this feature, you can integrate AWS IoT with your own web services without additional latency and complexity […]

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Alexa Voice Service Integration for AWS IoT Core

Introducing Alexa Voice Service Integration for AWS IoT Core, a new way to cost-effectively bring Alexa Voice to any type of connected device

Alexa Voice Service (AVS) Integration is a new feature of AWS IoT Core that enables device makers to make any connected device an Alexa Built-in device. AVS for AWS IoT reduces both the cost and complexity of producing Alexa Built-in devices by offloading compute and memory intensive tasks from physical devices to the cloud. With […]

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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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Getting Aggregate Information of Devices with AWS IoT Device Management Fleet Indexing

AWS IoT Device Management Fleet Indexing has launched three APIs for getting aggregate information of devices: GetStatistics, GetPercentiles and GetCardinality. With these APIs, you can quickly answer questions like: What’s the percentage of the devices connecting to AWS IoT? What’s the maximum, minimum and average of device battery level? How many OS versions are present? […]

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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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Support for Secure Elements in FreeRTOS

Secure elements represent a category of devices intended to enhance security in connected devices. For microcontroller (MCU)–based devices, secure elements provide tamper-resistant storage of private keys and certificates, and offloading of cryptographic functions from the host microcontroller. You can now leverage two new qualifications that include support for secure elements within Amazon FreeRTOS.  These qualifications […]

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