TinyML with ESP32 and MicroPython

Implementation of TinyML in pure (micro)Python on ESP32. The setup collects accelerometer & gyro data. Uses ML algorithm (Random Forest Classifier) to detect gestures from the collected (acceleration & gyro) time-series data. It detects 3 types of gestures:

1. Movement along X axis
2. Movement along Y axis
3. Circle Movement

It sends the collected data and detected gestures to backend that saves data into a database.

Blog: TinyML: Machine Learning on ESP32 with MicroPython

MicroPython

• v 1.14 for ESP32 (download)

Bill of materials

• ESP32-devkitC
• MPU6500
• breadboard
• jumper wires

Schema

Pin details

SCL = pin 22

SDA = pin 21

Setup

1. Check the port. On MacOS use ls /dev/cu.*. Linux, Windows and more info on establishing connection on this site Espressif - Establish Serial Connection with ESP32
2. Flash the ESP32 - Follow Installation instructions here ESP32
3. For convenience use Pymakr VSCode extension Pymakr VSCode
4. Upload Python scripts to ESP32 using Pymakr Extension