NanoEdge™ AI Studio is a software solution running on Windows 10 or Linux Ubuntu, developed by Cartesiam.

If you want to learn, infer, and predict at the Edge, directly inside the microcontroller, you are at the right place.
NanoEdge™ AI Studio will easily let you create a machine learning static library to embed in your main program running on any ARM© Cortex© M microcontroller.

When embedded in microcontrollers, it gives them the ability to locally “learn” and “understand” sensor patterns, by themselves, without the need for the user to have additional skills in Mathematics, Machine Learning, Data science, or creation of pre-trained neural network. In 4 steps, NanoEdge™ AI Studio will let you generate a static library that contains an AI model designed to gather knowledge incrementally during a learning phase to able to detect potential anomalous machine behaviors and predict them.

To help you test your machine learning library, NanoEdge™ AI Studio comes fully loaded with NanoEdge AI Emulator (Windows and Linux)

You will be able to emulate the behavior of your NanoEdge AI Library and start testing it as if it was running in your embedded application. No need to flash your code in your microcontroller, simply test your library on your PC either from the command line, or the interface provided through NEAI Studio.

The NanoEdge AI Emulator comes with each library created by NanoEdge™ AI Studio.

The emulator is compiled using the same algorithm. This means that for one library, there is one emulator.
Using this tool, you can learn and detect as you would do in your embedded application.

Learn using the nominal signals used in the Studio, or any other dataset you consider as “nominal.”
Detect using the abnormal signals used in the Studio, or any other dataset you consider as “abnormal.”

It is as simple as that.