AWS IoT
Edge Reference Client to demonstrate emerging functionality to manage fleet provisioning for IoTCore.
Quickly get started with AWS IoT Core for LoRaWAN with sample solutions (binary decoding, device and gateway monitoring, downlink, dashboarding, provisioning automation)
Connect and deploy IoT devices on AWS IoT Core in minutes and start generating immediate business value!
This sample provides AWS CDK infrastructure as code to integrate Industry 4.0 operational technology (OT) plants with AWS IoT using private networking for AWS API service endpoints.
Application that interfaces with the cloud and sends data to a local mosquitto Mqtt Broker
A pure web-based SSH client that acts as a local proxy to securely access IoT devices behind firewalls on remote sites from a web browser using AWS IoT Secure Tunneling
This sample application demonstrates a React based web dashboard receiving real-time updates from IoT sensors. The solution is built with AWS AppSync, AWS Amplify, Amazon Location Service, and AWS …
AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. With this workshop your will learn hands-on the features from AWS IoT Devic…
AWS IoT Smart Wastebin solution
This project provides a demonstration of up to 10,000 industrial assets, each with four tags, that can flow data through AWS IoT SiteWise and into a data lake built across Amazon S3 and Amazon Time…
This sample application demonstrates an iPhone receiving real-time updates from an IoT sensor. The solution is built with AWS AppSync and AWS IoT Core technologies.
Autonomous Surveillance Demo using AWS RoboMaker, AWS IoT and Amazon Kinesis Video Streams.
Sample illustrating how to setup an IoT client to use a CQRS (Command Query Responsibility Segregation) architecture pattern. Demonstrating how CQRS can be used to separate request/reply and publis…
This demo will help you get started with AWS IoT Secure Tunneling, that helps customers establish bidirectional communication to remote devices over a secure connection that is managed by AWS IoT
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.