I like to develop IoT solutions with Microsofts IoT Edge very much because it has great flexibility and it can be easily extended.īefore starting to explain IoT Edge, we should talk in short about IoT Hub – another IoT product from Microsoft, that lives in Azure. But I don’t want to bore you with too many words, Let’s dive into it. No, it is not about building an expensive RaspberryPi from your Mac, but preparing an IoT edge solution for it, becomes more attractive. … take a moment to think about it… yes, RaspberryPis, Jetson Nanos, and such kinds of hardware are of the same architecture. By the way, a Mac M-Processor is based on ARM Architecture. To come around, we will run Ubuntu (ARM version) on the Mac and install IoT edge to that instance. Here, UTM, a virtualizer app, comes into play. But a culprit is, that I don’t have a webcam accessible in Codespaces. I have a Github repository, HalloweenAI, where I am building a face-detection solution based on IoT Edge, that I develop in Github Codespaces.Ĭodespaces gives me the ability to run a fiddle-free dev environment. I like it very much to broaden my knowledge by just doing experiments with cool technologies.Īnd this is my requirements and setup for this blog. But when you’re developing an IoT solution and you are using a Mac with M1 CPU, you should continue reading.įor sure, this here is for learning purposes. Really, there is neither a special need for… nor a real use case to have an IoT edge solution running on your Mac.
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