QR Code Detection and Authorization

This code is an implementation of QR code detection and authorization using OpenCV and the pyzbar library. It captures video from a webcam, detects QR codes in frames, and checks if the decoded data is authorized based on a list of authorized QR code IDs stored in a text file.

Prerequisites

Before running this code, make sure you have the following libraries installed:

• OpenCV
• numpy
• math
• pyzbar

You can install these dependencies using pip:

pip install opencv-python numpy pyzbar


## Pré-requisitos
Antes de executar este código, certifique-se de ter as seguintes bibliotecas instaladas:

OpenCV
numpy
math
pyzbar
Você pode instalar essas dependências usando o pip:

```bash
pip install opencv-python numpy pyzbar

Usage

1.Ensure your webcam is connected to the computer. 2. Save the IDs of authorized QR codes in a text file. Each ID should be on a separate line. 3. Update the file path in the code to point to your text file containing the IDs of authorized QR codes. 4. Run the script.

Code Explanation

1. Import the necessary libraries:

import cv2
import numpy as np
import math
from pyzbar.pyzbar import decode

2. Define a function to calculate the Euclidean distance between two points:

def euclideanDistance(x, y, x1, y1):
    euclideanDist = math.sqrt((x1 - x) ** 2 + (y1 - y) ** 2)
    return euclideanDist

3. Initialize the video capture object and set the frame size:

cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)

4. Read the list of authorized QR code IDs from the text file:

with open('OPENCV/QrCode_project/Id_QRcode.txt') as f:
    myDatalist = f.read().splitlines()

5. Start an infinite loop to continuously read frames from the webcam:

while True:
    success, img = cap.read()

6. Decode the QR codes in the captured frame and check for authorization:

    for barcode in decode(img):
        myData = barcode.data.decode('utf-8')
        print(myData)
        
        if myData in myDatalist:
            myOutput = 'Autorizado'
            myColor = (0, 255, 0)
        else:
            myOutput = 'Não Autorizado'
            myColor = (0, 0, 255)
        
        print(myOutput)

7. Draw the boundary of the QR code, display the authorization status, and calculate the center and width of the QR code:

        pts = np.array([barcode.polygon], np.int32)
        pts = pts.reshape((-1, 1, 2))
        cv2.polylines(img, [pts], True, myColor, 5)
        
        pts2 = barcode.rect
        cv2.putText(img, myOutput, (pts2[0], pts2[1]), cv2.FONT_HERSHEY_SIMPLEX, 0.9, myColor, 2)
        
        # Coordenadas dos pontos da caixa
        x

Support

If you encounter any issues or have questions regarding the code, feel free to open an issue in this repository. We'll do our best to assist you.

License

This project is licensed under the MIT License. Feel free to use it in accordance with the terms of the license.