AI Ardiuno Project for face detection

Face Detection Project Using Python & Arduino

Category: Computer Vision, Electronic

Date: فبراير 25, 2025

Value: Free

👀 Face Detection Project Using Python & Arduino 🎯

Simple Explanation:

This project uses a camera to detect faces with Python. When a face is detected, a signal is sent to Arduino to turn on an LED. If no face is detected, the LED turns off. 🤖💡

🛠️ Requirements

🔹 Required Components

Component	Description
Arduino Uno	The microcontroller board for processing data.
Webcam	Captures real-time video for face detection.
LED	Lights up when a face is detected.
220-ohm resistor	Protects LED 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 pyserial

Ensure the Haar Cascade File is in the Same Directory: The face detection model, haarcascade_frontalface_default.xml, must be in the same folder as your Python script. If it’s missing, download it from OpenCV GitHub and place it in the correct location.

📌 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:

🔧 3- Uploading the Arduino Code:

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

				
					int ledPin = 13;  // LED connected to pin 13

void setup() {
    Serial.begin(9600);  // Start serial communication at 9600 baud
    pinMode(ledPin, OUTPUT);  // Set LED pin as output
}

void loop() {
    if (Serial.available() > 0) {
        // Read the incoming byte
        char command = Serial.read();

        if (command == '1') {
            digitalWrite(ledPin, HIGH);  // Turn on LED
            Serial.println("Face Detected: LED ON");
        } else if (command == '0') {
            digitalWrite(ledPin, LOW);  // Turn off LED
            Serial.println("No Face Detected: LED OFF");
        }
    }
}

2️⃣ Run the Python Code Below:

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

				
					import cv2
import serial
import time
# Set up serial communication (make sure to use the correct COM port for your system)
arduino = serial.Serial('COM9', 9600)  # Replace with the correct port for your system
time.sleep(2)  # Wait for Arduino to initialize

# Load the face cascade
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# Start capturing video
cap = cv2.VideoCapture(0)

while cap.isOpened():
    _, img = cap.read()

    # Convert to grayscale
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # Detect faces
    faces = face_cascade.detectMultiScale(gray, 1.1, 4)

    # If faces are detected, send '1' to Arduino, else send '0'
    if len(faces) > 0:
        arduino.write(b'1')  # Send '1' to indicate face detected
        print("Face detected")
    else:
        arduino.write(b'0')  # Send '0' to indicate no face detected
        print("No face detected")

    # Draw rectangles around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 3)

    # Display the image
    cv2.imshow('img', img)

    # Exit on pressing 'q'
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release the video capture and close the serial port
cap.release()
arduino.close()
cv2.destroyAllWindows()

👀 Face Detection Project Using Python & Arduino 🎯

Simple Explanation:

This project uses a camera to detect faces with Python. When a face is detected, a signal is sent to Arduino to turn on an LED. If no face is detected, the LED turns off. 🤖💡

🛠️ Requirements

🔹 Required Components

🔹 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

Ensure the Haar Cascade File is in the Same Directory: The face detection model, haarcascade_frontalface_default.xml, must be in the same folder as your Python script. If it’s missing, download it from OpenCV GitHub and place it in the correct location.

📌 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:

🔧 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:

1️⃣ Run the Arduino code first.

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

3️⃣ If a face appears in front of the camera, the LED will turn ON! 💡

4️⃣ If no face is detected, the LED will turn OFF.

اترك تعليقاً إلغاء الرد

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👀 Face Detection Project Using Python & Arduino 🎯

Simple Explanation:

This project uses a camera to detect faces with Python. When a face is detected, a signal is sent to Arduino to turn on an LED. If no face is detected, the LED turns off. 🤖💡

🛠️ Requirements

🔹 Required Components

🔹 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

Ensure the Haar Cascade File is in the Same Directory: The face detection model, haarcascade_frontalface_default.xml, must be in the same folder as your Python script. If it’s missing, download it from OpenCV GitHub and place it in the correct location.

📌 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:

🔧 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:

1️⃣ Run the Arduino code first.

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

3️⃣ If a face appears in front of the camera, the LED will turn ON! 💡

4️⃣ If no face is detected, the LED will turn OFF.

اترك تعليقاً إلغاء الرد

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