https://github.com/abdlazeem/hand_gesture_controlled_led

real-time hand gesture recognition system that detects the number of fingers raised using a webcam and controls LEDs connected to an Arduino Uno accordingly.
https://github.com/abdlazeem/hand_gesture_controlled_led

arduino mediapipe-hands opencv python-3

Last synced: about 1 month ago
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real-time hand gesture recognition system that detects the number of fingers raised using a webcam and controls LEDs connected to an Arduino Uno accordingly.

• Host: GitHub
• URL: https://github.com/abdlazeem/hand_gesture_controlled_led
• Owner: AbdLAzeem
• Created: 2025-12-18T18:20:44.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-12-19T01:17:16.000Z (6 months ago)
• Last Synced: 2025-12-21T23:38:14.427Z (6 months ago)
• Topics: arduino, mediapipe-hands, opencv, python-3
• Language: Python
• Homepage:
• Size: 12.7 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Hand_Gesture_Controlled_LED

Python | OpenCV | MediaPipe | Arduino Uno

Overview

This project implements a real-time hand gesture recognition system that detects the number of fingers raised using a webcam and controls LEDs connected to an Arduino Uno accordingly.

Using OpenCV and CVZone (MediaPipe Hand Tracking), the system tracks a single hand, determines finger states, and sends control signals to an external hardware controller. The project demonstrates an effective integration of computer vision, human–computer interaction, and embedded systems.

Features

Real-time hand tracking using a standard webcam

Accurate detection of raised fingers (0–5)

Live video feedback with finger count overlay

LED control via Arduino based on detected gestures

System Architecture

Webcam

   ↓

OpenCV + MediaPipe (Hand Tracking)

   ↓

Finger State Detection

   ↓

Python Controller Module

   ↓

Arduino Uno

   ↓

LEDs

Hardware Requirements

Arduino Uno - 5 × LEDs - 5 × 220Ω resistors - Breadboard - Jumper wires - USB cable (Arduino ↔ PC) - Webcam (built-in or external) 

Connection Steps:

Connect each LED’s anode (+) to its corresponding Arduino pin via a 220Ω resistor

Connect all cathodes (–) to GND

Connect Arduino to PC via USB

The number of LEDs turned ON corresponds to the number of detected raised fingers.



Software Requirements

Python 3.8+ - Arduino IDE 

Required Python libraries: opencv-python - cvzone - mediapipe - pyserial

Usage

Connect the Arduino Uno to your computer

Ensure LEDs are wired correctly

Run the Python script:

python main.py

Hold your hand in front of the webcam

Raise fingers (0–5)

LEDs will light up according to finger count

Press K to exit the application