Difference: TinyML (4 vs. 5)

Revision 52023-09-01 - UliRaich

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TinyML

Introduction

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Wake word detection, a model which can detect the spoken words "yes" and "no". The on-board microphone is used to sample the audio data.
People detection, a system that gets images from a camera and determines if a person is in sight of the camera
Magic Wand, a system that recognizes gestures using an accelerometer

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In the meantime the examples have been ported to the ESP32 and the ESP32S3 as well. These examples are written in C++ using the Espressif development environment esp-idf. The magic wand demo is not available for the ESP32.

Here we go through the ESP32 C++ examples

Michael O'Cleirigh has started a project on github trying to port these examples to MicroPython (https://github.com/mocleiri/tensorflow-micropython-examples

). Since there are several ESP32 modules that include a simple camera, I2S

microphones are supported in MicroPython and several accelerometers with I2C interface are available, it should be possible to run these examples on the ESP32.

Setting up the PC and MicroPython for TensorFlow

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