With ST AIoT Craft, you can explore advanced edge AI features integrated in ST smart MEMS sensors.
Start by learning how to program the machine learning core (MLC) engine embedded in many MEMS inertial sensors and IMUs. This allows classification of acceleration (or vibration) and rotation patterns while the microcontroller remains in sleep mode, saving energy.
ST AIoT Craft collects labeled sensor data to train the MLC engine. You can validate the results using ST evaluation boards directly via the web portal (Chrome recommended) or the companion mobile app.
ST AIoT Craft also establishes a complete IoT system where the sensor board connects to a gateway, which communicates with a cloud application.
Learn how to accelerate IoT development with edge AI, and quickly design, test, and deploy machine learning algorithms on ST MEMS sensors for seamless sensor-to-cloud integration.
Prerequisites
What you'll learn
- Overview of the general context and challenges for which ST AIoT Craft has been designed.
- How ST AIoT Craft supports building embedded AI solutions.
- Overview of the hardware platforms you will work with, highlighting the hardware components you use and program during this course.
- Develop a real edge AI application using ST AIoT Craft, powered by the machine learning core.
- To perform exercise 11, please download the .csv file attached at the end of this post or click here.
Ready to get started?
The videos are available in our YouTube playlist embedded below, or at the following URL:
https://www.youtube.com/playlist?list=PLTJzs51NlEICXZiymZMbjFZs7AgNUBVMf
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