ESP32-CAM Face Detection with OpenCV

This project streams video from an ESP32-CAM and performs face detection using OpenCV in Python.

Overview

The ESP32-CAM is a cost-effective board with a built-in camera capable of streaming video over Wi-Fi. This project demonstrates how to use OpenCV to detect faces in real-time from the video stream provided by the ESP32-CAM.

Requirements

Hardware

• ESP32-CAM (AI Thinker model)
• USB-to-Serial adapter (for flashing the ESP32-CAM)

Software

• Arduino IDE or PlatformIO for uploading the ESP32-CAM code
• Python 3.x with OpenCV library

Use Case

This setup can be used for simple home security systems, smart doorbells, or any application requiring face detection on a live video stream.

Quick Start

1. Set up the ESP32-CAM:

   • Upload the provided ESP32-CAM code using Arduino IDE or PlatformIO.
   • Connect the ESP32-CAM to your Wi-Fi network.

2. Run the Python script:

   • Use the provided Python script to connect to the ESP32-CAM's video stream.
   • OpenCV will detect and highlight faces in the video feed.

Result

Arduino IDE