Blog de Joe Freeman

I wanted to build an IoT dashboard that auto-populates from query Azure Application Insights and displays the query results. UIFlow, Circuit Python, and Micro Python all let you create low-code programs on IoT devices. I used M5Stack's UiFlow as a low-code Python generator.  The program runs an Azure query via REST API and displays the results on the built-in M5 Core display. The query can be manually triggered or run automatically on a timer without me writing any code. https://flow.m5stack.com/ This flow is available on This .m5f example on GitHub. Video Walkthrough Device Topology Our IoT device, the M5Stack Core 2, runs an API query against Application Insights.  The search results are returned as JSON.  The Device Display UiFlow lets us lay different fields and labels onto the LCD panel via drag and drop.  We can set the name of the component for later access. UiFlow/Python has pre-built blo...

The M5Flow (blocky) graphical program builder makes it easy to drag and drop a program that receives C2D messages from Azure IoT Hub.  I've been playing with the M5Stack Core2 devices and wanted to see how hard it would be to create a program that sends data Azure to an IoT device  without  having to actually  write  any code.   They support several development environments including a graphical Python builder.  The UIFlow IDE includes common cloud integration blocks for Azure and AWS.  There weren't a lot of samples out there. I hope this will help others can use this as a starting point. You can find a link to a video walkthrough down below. Azure IoT Hub Cloud-to-Device From the Microsoft guide https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-c2d-guidance IoT Hub provides three options for device apps to expose functionality to a back-end app: ...

Device to Cloud (D2C) with Azure IoT Hub I've been playing with the M5Stack Core2 devices and wanted to see how hard it would be to create a program that could send data to Azure without having to actually write any code.  I used the M5Flow (blocky) graphical program builder. It includes common cloud blocks for Azure and AWS.  The program sends sensor data to Azure IoT where it can be processed. I only verified the messages were received in Azure.  Processing will be left for another time. There weren't a lot of samples out there. I hope this will help others can use this as a starting point. You can find a link to a video walkthrough down below. Azure IoT Hub Device-to-Cloud From the Microsoft guide https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-d2c-guidance When sending information from the device app to the solution back end, IoT Hub exposes three options: Device-to-cloud (D2C) messages for ti...

AWS and Microsoft have both been busy demonstrating how their clouds are ideal for fleets of IoT devices.  Both introduced their own sample hardware.  The AWS entry is an M5Stack Core2 ESP32 device that comes with I/O, ports, and a certificate store.  Amazon has a couple relatively straightforward examples including a simple "blinking light" program that reacts to cloud messages with lights and that sends regular messages to cloud topics for processing. I created the video down below to give a quick overview of the steps that make up that sample. AWS Branded IoT Device This is the device.  It is an AWS-enhanced version of the standard M5Stack Core2 component. The Demo Application The sample program operates on two paths. It sends a regular message to AWS via MQTT.  The sample tells you how to view that message in the AWS portal. The sample then shows you how to use the IOT test client to generate test messages that are sent to the EduKit IoT dev...