Interactive LED Control using Python & Arduino 💡🤖

Overview

This project utilizes OpenCV and CVZone in Python to detect hand gestures via a webcam, sending commands to an Arduino. The Arduino controls LEDs based on the number of fingers visible, enabling real-time, interactive LED control through computer vision and serial communication.

Features ✨

• Hand Gesture Recognition using OpenCV & CVZone 🖐️
• Real-Time Finger Detection & Counting 🔢
• Serial Communication with Arduino 🔄
• Dynamic LED Control Based on Finger Count 💡
• Live Visualization of Hand Gestures 📹

Project Structure 📂

📁 LED-Control-Using-OpenCV-Arduino
│── ide.m.ino        # Arduino code for LED control
│── main.py         # Python script for gesture detection & communication
│── LED control live demo.mp4  # Demonstration video
│── README.md       # Project Documentation

Hardware Requirements 🛠️

• Arduino UNO
• LEDs
• Resistors
• Jumper Wires
• USB Cable for Arduino
• Webcam

Installation & Setup ⚙️

1. Clone the repository:

   git clone https://github.com/yourusername/LED-Control-Using-OpenCV-Arduino.git

2. Install the required Python dependencies:

   pip install opencv-python cvzone mediapipe pyserial

3. Upload ide.m.ino to your Arduino UNO using the Arduino IDE.
4. Connect the hardware components as per the circuit diagram.
5. Run the Python script:

   python main.py

Usage 🚀

1. Start the Python script to detect hand gestures.
2. Hold your hand in front of the webcam and raise fingers to control LEDs.
3. The number of raised fingers determines which LED(s) will turn on.
4. The program will continuously update the LED states in real time.
5. Press ESC (ASCII 27) to exit the program and close the video feed.

Live Demo 🎥

Contributions 🤝

Feel free to fork the repository, submit issues, or suggest improvements for better real-time detection and control.

---