Dispatch Voice Message to IoT Edge
This repositry contains sample applications and documentations to illustrate how to dispatch voice message to IoT Edge devices from cloud.
Scenario
This sample covers following scenario.
- Dispatch a voice message to locations such as stores, shops, rooms from central place.
This repositry also provdes information about how to DevOps IoT Edge module to physical devices.
Technologies
This sample uses following technologies.
Microsoft Technologies
- Azure IoT Edge
- Azure IoT Hub
- Azure Cognitive Services
- Azure Container Registry
- Azure Functions
- Azure Blob Storage
- Azure Queue Storage
- Azure DevOps
Other technologies
Architecture
The solution is build on Cloud-Native applications concept, that each component is loosly-coupled and based on managed services.
This repositry consist of following components.
Azure Resource Provisioning
Setup folder contains Azure CLI base commands to setup necessary Azure resources.
Azure Function app
Dispatcher folder contains Azure Function sample app which covers step 2, 3, 4 in the architecture diagram.
IoT Edge Module
IoTEdge folder contains IoT Edge module sample which covers step 5 in the architectre diagram
IoT Edge Module DevOps
DevOps folder contains information about IoT Edge module DevOps especially for ARM32v7 devices such as Raspberry Pi.
What is missing?
Create Queue Item to Central Queue
I didn't provide sample application to create a queue message to the central queue. In the real-world scenario, you may need to integrate this part into existing system, or need to create new service as Web API, Native-Client app, etc. Refer to Azure Queue documentation for how to create an application to work with Queues.
For testing, you can simply use Azure Storage Explorer to create queue item directly.
Use following format when sending test data.
{
"locations":["location1"],
"message":"Hello from cloud!!"
}
Application Insight
To simply the sample, I didn't include Application Insight. For production, use Application insights where you can so that it is easy to monitor by using Azure Monitor. See Azure Monitor for more information.