The Internet of Things on AWS – Official Blog

Tag: IoT Edge

Unlock the value of embedded security IP to build secure IoT products at scale

Introduction IoT product development crosses several domains of expertise from embedded design to communication protocols and cloud computing. Because of this complexity “end-to-end” or “edge-to-cloud” IoT security is becoming a challenging concept in the industry. Edge in many cases refers to the device as a single element in the edge-to-cloud chain. But the device must […]

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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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How to perform secondary processor over-the-air updates with FreeRTOS

Many embedded architectures include a connectivity processor connected to one or more secondary processors that perform business logic. The ability to perform secondary processor over-the-air (OTA) updates is just as critical as updating the connectivity processor. This is because it allows for low-cost patching of bugs and security vulnerabilities as well as delivering new features […]

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

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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Announcing Amazon FreeRTOS 201906.00 Major

Amazon FreeRTOS 201906.00 Major is now generally available. Amazon FreeRTOS extends the FreeRTOS kernel with individual software libraries, making it faster and easier to securely connect microcontroller-based IoT devices to the cloud. This major release provides significant improvements to several underlying libraries, as well as an update to overall Amazon FreeRTOS versioning: General availability of […]

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Announcing support for Bluetooth Low Energy in Amazon FreeRTOS

Announcing support for Bluetooth Low Energy in Amazon FreeRTOS

Today, AWS announced general availability for Bluetooth Low Energy support in Amazon FreeRTOS. This release simplifies your development process to securely connect Amazon FreeRTOS devices using Bluetooth Low Energy to AWS IoT Core via Android and iOS devices. It also makes it easier to remotely update firmware on Amazon FreeRTOS devices using Bluetooth Low Energy. […]

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