Hi !
Today let’s face a cool question:
How do I grant GPIO access in a Raspberry Pi to an Azure IoT Module?
So, the main goal is to access the GPIO to interact with sensors and actors. Usually, when we run programs in the device that’s easy to accomplish, however running an Azure IoT Module we need to grant these permissions to the module definition.
In the Container Create Options, we need to add the following lines:
{
"HostConfig": {
"Binds":[
"/dev/i2c-1:/dev/i2c-1"
],
"Privileged": true
}
}
Enabling access to the i2c and also running the module with elevated privileges:
And, of course, if the module is also running as a HTTP server, you need to add here the TCP open ports, and more. That’s it! super easy!
Happy coding!
Greetings
El Bruno
More posts in my blog ElBruno.com.
More info in https://beacons.ai/elbruno
Azure ☁ IoT
- Install ☁ Azure IoT on Raspberry Pi
- Deploy ☁ Azure Blob Storage on IoT Edge, lessons learned
- Connect to ☁ Azure Blob Storage on IoT Edge using Microsoft Azure Storage Explorer
- Lesson learned and tips on how to install Azure IoT Edge on Ubuntu on a Raspberry Pi
- Azure IoT Explorer, in preview and awesome
- Mapping a local ☁ Azure IoT Edge folder module with an Edge device folder 📁
- Creating a folder 📂 in the docker definition in an ☁ Azure IoT Edge
- Granting access to Raspberry Pi GPIO from an ☁ Azure IoT Edge Module
Create an Azure IoT Module using Raspberry Pi and Grove Sensors
- Raspberry Pi + Grove Sensors, read temperature and humidity values
- Raspberry Pi + Grove Sensors, send temperature and humidity values as telemetry to Azure IoT Hub
- Raspberry Pi + Grove Sensors, create a Azure IoT Module to send temperature and humidity values as telemetry to Azure IoT Hub
- Raspberry Pi + Grove Sensors, publish and use the Azure IoT Module
- Raspberry Pi + Grove Sensors, notes on build and configuration
- Raspberry Pi + Grove Sensors, details on how to send a telemetry message and sample messages
Create an Azure IoT Module from Azure Custom Vision project
- Create and export a Custom Vision Project as Docker image
- Analyze the content of the CV Docker image
- Create and analyze an Azure IoT Module
- Merge the CV project as an Azure IoT Module
- Deploy to an Azure IoT device and test the CV module
- Send telemetry for each analyzed image
- Add digital twin configuration to the Azure IoT module (coming soon)
¿Con ganas de ponerte al día?
En Lemoncode te ofrecemos formación online impartida por profesionales que se baten el cobre en consultoría:
- Si tienes ganas de ponerte al día con Front End (ES6, Typescript, React, Angular, Vuejs…) te recomendamos nuestros Máster Front End: https://lemoncode.net/master-frontend#inicio-banner
- Si te quieres poner al día en Backend (stacks .net y nodejs), te aconsejamos nuestro Bootcamp Backend: https://lemoncode.net/bootcamp-backend#bootcamp-backend/banner
- Y si tienes ganas de meterte con Docker, Kubernetes, CI/CD…, tenemos nuestro Bootcamp Devops: https://lemoncode.net/bootcamp-devops#bootcamp-devops/inicio
El Bruno 