Follow these three steps to build your first embedded Machine Learning model - no worries, you can use almost any device to get started.
- 1.You'll need some data:
- If you want to collect live data from a supported development kit, select your board from the list of fully supported development boards and follow the instructions to connect your board to edge impulse.
- 3.After training your model you can run your model on your device:
- If you want to integrate the model with your own firmware or project you can export your complete model (including all signal processing code and machine learning models) to a C++ or Arduino library with no external dependencies (open source and royalty-free), see Running your impulse locally.
- If you have a fully supported development board (or your mobile phone) you can build new firmware - which includes your model - directly from the UI. It doesn't get easier than that!
For startups and enterprises looking to scale edge ML algorithm development from prototype to production, we offer an enterprise-grade version of our platform. This includes all of the tools needed to go from data collection to model deployment, such as a robust dataset builder to future-proof your data, integrations with all major cloud vendors, dedicated technical support, custom DSP and ML capabilities, and full access to the Edge Impulse APIs to automate your algorithm development.