ESP32-S3 AI Camera Module

This guide helps first-time users get started with the ESP32 development board, covering Arduino IDE setup, board configuration, and running a basic LED blink example.

This example allows you to obtain ambient light data and print it via the serial port (baud rate: 115200).

ESP32 Audio Recorder & Playback: One-button operation to automatically record for 5 seconds and playback instantly.

ESP32-CAM Image Monitoring System: Easy Wi-Fi setup and real-time video streaming via web browser.

This code enables the ESP32-S3 to function as a virtual USB webcam, transmitting camera image data to a computer via USB. The computer can receive and display the images by running a Python script.

This example demonstrates how to use OpenCV on a computer to recognize object contours.

This example demonstrates how to use YOLOv5 on a computer for object classification.

This example demonstrates using the DFRobot ESP32-S3 AI Camera to take timed photos and save them to an SD card. The default photo interval is set to 25 seconds, which can be modified by adjusting the `TIME_TO_SLEEP` parameter. The LED will turn on when taking photos, and the ESP32-S3 will enter sleep mode after each photo is captured.

This example uses the Person_Detection_inferencing model trained on EdgeImpulse for human detection. The recognition results can be viewed via the serial port, and the camera feed can be accessed through a web video stream.

This project utilizes the ESP32-S3 AI CAM module and EdgeImpulse to recognize apples and oranges. Through this project, you will learn how to train your own model using EdgeImpulse and deploy it on the ESP32-S3 AI CAM module.

This example code allows real-time conversation with OpenAI (ChatGPT).

This example demonstrates the connection between DFRobot ESP32-S3 AI CAM and OpenAI for voice and image recognition. After burning the code:

Based on this tutorial, you can add the ESP32 - S3 camera module to HomeAssistant and view the monitoring footage.

This example demonstrates playing audio files from the network via ESP32-S3. After burning the code, enter the WiFi SSID and Password as prompted by the serial monitor to connect to WiFi. Then enter the network audio address to play the audio.

This tutorial offers a detailed guide on using Flash Download Tools for firmware burning on ESP32 chips, covering tool download, module connection, controller selection, and bin file burning.

The ESP32 Arduino General Tutorial helps users master various ESP32 APIs from basic to advanced in the Arduino environment, enabling development and debugging of ESP32 applications.

This tutorial offers a comprehensive guide on installing MicroPython on ESP32, including firmware download, board compatibility, and practical coding examples, along with a detailed exploration of LVGL for interactive UI creation.

The tutorial guides you through using PlatformIO with ESP32, covering installation, project setup, and code upload, highlighting its efficiency over Arduino IDE.

This tutorial provides a detailed guide on using ESP-IDF for ESP32 development, covering installation methods, compiling and flashing projects, and utilizing components and libraries.