✋ Finger Count Controlled LED System Using Python & Arduino ma💡 -

Category: Arduino, Computer Vision

Simple Explanation:

This project detects hand gestures using MediaPipe in Python. The number of raised fingers is counted and sent to Arduino, which then turns on the corresponding number of LEDs. 🖐️➡️💡

🛠️ Requirements

🔹 Required Components

Component	Description
Arduino Uno	Microcontroller to process data.
Webcam	Captures real-time video for hand detection.
5 LEDs	LEDs that light up based on the detected fingers.
Resistors	Protect LEDs from excessive current.
Jumper wires	Used for wiring connections.
Computer	Runs the Python script.

🔹 Required Libraries

Library	Installation Command	Purpose
OpenCV	pip install opencv-python	Used for image processing.
MediaPipe	pip install mediapipe	Detects hand gestures.
PySerial	pip install pyserial	Enables communication between Python & Arduino.

🔹 Required Software

Software	Installation Link	Purpose
Python (pip)	Download Python	Runs the hand tracking script.
Arduino IDE	Download Arduino IDE	Uploads code to the Arduino board.
VS Code	Download VS Code	Code editor for Python and Arduino.

📌 Steps to Follow:

🖥️ 1- Setting Up Python Environment:

make sure that you install the Python program and activate the pip function.

Then Open CMD in your PC and copy this comand

				
					pip install opencv-python mediapipe pyserial

🔌 2- Connecting the Components:

💡 Connect 5 LEDs to Arduino pins 6-10 with resistors to limit current.

🔧 3- Uploading the Arduino Code:

Make sure you select the right port then upload this code to your Arduino using Arduino IDE:

				
					int ledPins[] = {6,7,8,9,10}; // Pins for 5 LEDs
int numLeds = 5;

void setup() {
  // Initialize LED pins as outputs
  for (int i = 0; i < numLeds; i++) {
    pinMode(ledPins[i], OUTPUT);
  }

  // Start serial communication
  Serial.begin(9600);
}

void loop() {
  if (Serial.available() > 0) {
    // Read the number of fingers from serial input
    int fingers = Serial.parseInt();

    // Turn on LEDs based on the number of fingers
    for (int i = 0; i < numLeds; i++) {
      if (i < fingers) {
        digitalWrite(ledPins[i], HIGH); // Turn on LED
      } else {
        digitalWrite(ledPins[i], LOW); // Turn off LED
      }
    }
  }
}

2️⃣ Run the Python Code Below:

please check the Python program you selected same port as the Arduino.

				
					import cv2
import mediapipe as mp
import serial
import time

# Initialize serial communication (update COM port as per your system)
arduino = serial.Serial('COM4', 9600)  # Replace 'COM4' with your Arduino port
time.sleep(2)  # Wait for Arduino to initialize

# Initialize MediaPipe Hand Detection
mp_hands = mp.solutions.hands
hands = mp_hands.Hands(max_num_hands=1, min_detection_confidence=0.7)
mp_draw = mp.solutions.drawing_utils

# Helper function to count raised fingers
def count_raised_fingers(hand_landmarks, handedness_label):
    finger_tips = [8, 12, 16, 20]  # Index for fingertips
    thumb_tip = 4  # Thumb tip
    thumb_mcp = 2  # Thumb MCP (base)
    count = 0

    landmarks = hand_landmarks.landmark

    # Check fingers (tip above middle joint)
    for tip in finger_tips:
        if landmarks[tip].y < landmarks[tip - 2].y:
            count += 1

    # REVERSED: Treat Right as Left, and Left as Right
    if handedness_label == 'Left':
        if landmarks[thumb_tip].x < landmarks[thumb_mcp].x:
            count += 1
    else:  # Right hand (treated as Left)
        if landmarks[thumb_tip].x > landmarks[thumb_mcp].x:
            count += 1

    return count

# OpenCV video capture
cap = cv2.VideoCapture(0)

while True:
    success, img = cap.read()
    if not success:
        break

    # Convert to RGB for MediaPipe
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = hands.process(img_rgb)

    if results.multi_hand_landmarks and results.multi_handedness:
        for hand_landmarks, handedness in zip(results.multi_hand_landmarks, results.multi_handedness):
            # Get hand label (Left or Right) and REVERSE it
            actual_label = handedness.classification[0].label
            swapped_label = 'Left' if actual_label == 'Right' else 'Right'

            # Draw landmarks
            mp_draw.draw_landmarks(img, hand_landmarks, mp_hands.HAND_CONNECTIONS)

            # Count raised fingers
            finger_count = count_raised_fingers(hand_landmarks, swapped_label)

            # Display swapped hand and finger count
            cv2.putText(img, f"{swapped_label} Hand", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)
            cv2.putText(img, f"Fingers: {finger_count}", (10, 70), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)

            # Send finger count to Arduino
            arduino.write(f"{finger_count}\n".encode())

    # Show the image
    cv2.imshow("Hand Tracking", img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Cleanup
cap.release()
cv2.destroyAllWindows()
arduino.close()

🚀 Testing the Project:

1️⃣ Upload the Arduino code first.

2️⃣ Run the Python code and wait for the camera to start.

3️⃣ Raise your fingers in front of the camera:

1 finger = 1 LED ON 💡
2 fingers = 2 LEDs ON 💡💡
All fingers = All LEDs ON! 🔥

4️⃣ Close your hand (0 fingers) = All LEDs OFF 🔄

Simple Explanation:

🔹 Required Libraries

🔹 Required Software

📌 Steps to Follow:

🖥️ 1- Setting Up Python Environment:

make sure that you install the Python program and activate the pip function.

Then Open CMD in your PC and copy this comand

🔌 2- Connecting the Components:

💡 Connect 5 LEDs to Arduino pins 6-10 with resistors to limit current.

🔧 3- Uploading the Arduino Code:

Make sure you select the right port then upload this code to your Arduino using Arduino IDE:

2️⃣ Run the Python Code Below:

please check the Python program you selected same port as the Arduino.

🚀 Testing the Project:

💬 I would love to hear your thoughts and feedback! Drop a comment or rate this project! 😊

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Simple Explanation:

🔹 Required Libraries

🔹 Required Software

📌 Steps to Follow:

🖥️ 1- Setting Up Python Environment:

make sure that you install the Python program and activate the pip function.

Then Open CMD in your PC and copy this comand

🔌 2- Connecting the Components:

💡 Connect 5 LEDs to Arduino pins 6-10 with resistors to limit current.

🔧 3- Uploading the Arduino Code:

Make sure you select the right port then upload this code to your Arduino using Arduino IDE:

2️⃣ Run the Python Code Below:

please check the Python program you selected same port as the Arduino.

🚀 Testing the Project:

💬 I would love to hear your thoughts and feedback! Drop a comment or rate this project! 😊

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