deploying my machine learning algorithm to arduino nano iot

I'm trying to deploy my machine learning model that I created on the classifier application into my arduino nano iot. what step should be done?

Answer 1

[Prasanna]

Hi Sodki,

To deploy your machine learning model created in MATLAB's classifier application to an Arduino Nano, you can follow these steps for a smooth deployment process using Simulink:

• Prepare Your Hardware and Simulink Model: Connect the board and create a Simulink model for the classifier created.
• Configure Your Model for Arduino Hardware: In your Simulink model, go to the ‘Modeling’ tab and click ‘Model Settings’ to open the ‘Configuration Parameters’ dialog box. In the ‘Hardware Implementation’ pane, set the ‘Hardware board’ parameter to your specific Arduino board, such as the Arduino Nano 33.
• Deploy Your Model: On the ‘Hardware’ tab in Simulink, in the ‘Mode’ section, select ‘Run on board’. Click ‘Build, Deploy & Start’ to compile and upload your model to the Arduino hardware.

By following these steps, your Simulink model, which includes the machine learning model you've developed, will be automatically downloaded and run on your Arduino Nano hardware.

To know more about Arduino deployment, refer to the following links:

• https://www.mathworks.com/help/simulink/supportpkg/arduino_ref/deploy-arduino-functions-to-arduino-hardware-using-matlab-function-block.html
• https://www.mathworks.com/help/simulink/supportpkg/arduino_ug/run-model-on-arduino-hardware.html
• https://www.mathworks.com/help/simulink/supportpkg/arduino_ref/getting-started-with-arduino-hardware.html

For examples of ML algorithms on Arduino, refer to the following links:

• https://www.mathworks.com/help/simulink/supportpkg/arduino_ref/identify-shapes-using-machine-learning-algorithm-on-arduino.html
• https://www.mathworks.com/help/simulink/supportpkg/arduino_ref/identify-punch-flex-using-machine-learning-algorithm-on-arduino-hardware.html

Hope this helps!