Exploring ESP32 and MicroPython: Comprehensive Guide

Exploring ESP32 and MicroPython: Comprehensive Guide

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Exploring ESP32 and MicroPython: Comprehensive Guide

The value of a person lies in what he contributes, not in what he can get. –Albert Einstein

Introduction

Hello everyone! In the past period, I have written a series of articles about ESP32 and MicroPython, covering various interesting applications. Today, I will summarize these articles and share some ideas for expanding these applications. Let’s explore the infinite possibilities of ESP32 and MicroPython together!

1. Applications of ESP32+MicroPython in Data Communication

  • Using ESPNow for data communication in MicroPython: This article introduces how to use the ESPNow protocol for wireless data communication between ESP32 and MicroPython.

  • Recording with INMP441 digital microphone controlled by MicroPython+ESP32: This shows how to use MicroPython and ESP32 to control the INMP441 digital microphone for recording.

  • [Build your smart music player with MicroPython+ESP32]

  • Building your smart music player with MicroPython+ESP32: This teaches you two different methods to create a smart music player using MicroPython and ESP32.

2. Applications of ESP32+MicroPython in Environmental Monitoring

  • [Become a little meteorologist with MicroPython+ESP32-S3, easily read environmental temperature!]: This article introduces how to easily read environmental temperature using MicroPython and ESP32-S3.

  • [Fun Science: Use MicroPython and ESP32-S3 to make DHT-11 your “environmental humidity detective”!]: This teaches how to monitor environmental humidity using MicroPython and ESP32-S3.

  • [Tech DIY: Use MicroPython and ESP32-S3 to create your “light-sensitive little assistant”!]: This showcases how to create a light-sensitive assistant using MicroPython and ESP32-S3.

3. Applications of ESP32+MicroPython in Smart Home

  • [Create a smart fire alarm system with ESP32-S3 and flame sensor]: This article introduces how to create a smart fire alarm system using ESP32-S3 and a flame sensor.

  • [Monitor plant soil status with ESP32-S3 and soil moisture sensor]: This teaches how to use ESP32-S3 and a soil moisture sensor to monitor the soil status of plants.

  • [ESP32 and relay module: Create a smart home assistant!]: This shows how to create a smart home assistant using ESP32 and a relay module.

4. Applications of ESP32+MicroPython in Robot Control

  • [ESP32 and servo: Create your smart little robot!]: This article introduces how to create a smart little robot using ESP32 and servos.

  • [ESP32 and MP3 module: Create your exclusive music player!]: This teaches how to create an exclusive music player using ESP32 and an MP3 module.

  • [The wonderful adventure of ESP32 and ASPRO voice control module: Create your smart little assistant!]: This showcases how to create a smart little assistant using ESP32 and the ASPRO voice control module.

5. Applications of ESP32+MicroPython in Wi-Fi Connection

  • Friends, let’s connect to Wi-Fi together with ESP32+MicroPython!]: This article introduces how to connect to a Wi-Fi network using ESP32 and MicroPython.

6. Communication with Taoking’s serial touch screen using ESP32+MicroPython

  • [Communication between ESP32+MicroPython and Taoking’s serial touch screen]: This shares how to communicate with Taoking’s serial touch screen using ESP32 and MicroPython.

Ideas for Expanding Applications

The above are just some basic examples; in fact, the applications of ESP32 and MicroPython are very broad. You can try to apply them to more scenarios based on your interests and needs, such as IoT, automation control, remote monitoring, etc. At the same time, you can also try to learn more about ESP32 and MicroPython, master more programming skills, to better unleash their potential.

In the current era of various AI and large models, we can fully integrate ESP32 with large models, combining the previous digital microphone, digital amplifier, and the ESP32’s networking experiments. After connecting ESP32 to the internet, first use the digital microphone to record sound, then upload the audio file to Baidu or iFlytek’s TTS to convert the voice to text, submit the text to the Xingsi Fire large model, and then display the response from the large model on the screen. If necessary, you can use iFlytek’s interface to convert the text back to speech and play the response through the digital amplifier. This way, you can create your very own smart little assistant.

For how to use iFlytek’s API for text-to-speech and speech-to-text, as well as the Xingsi Fire large model, please refer to the official examples, or if many friends need these, I will write about it when I have time.

This series will stop here for now; I may continue to write about Arduino or some information competition problem analysis later.

I wish you a wonderful journey in your creative endeavors! If you are interested in other creative projects, please continue to follow our public account for more interesting content and tutorials. Don’t forget to share with friends who might need it!

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