app.py

from PIL import Image
import numpy as np
import cv2
import requests
import face_recognition
import os
from datetime import datetime
import streamlit as st
import sqlite3
import pickle

# Set page title and description
st.set_page_config(
    page_title="Attendance System Using Face Recognition",
    page_icon="📷",
    layout="centered",
    initial_sidebar_state="collapsed"
)
st.title("Attendance System Using Face Recognition 📷")
st.markdown("This app recognizes faces in an image, verifies Aadhaar card details, and updates attendance records with the current timestamp & Location.")

# Create or connect to the SQLite database
conn = sqlite3.connect("attendance_database.db")
cursor = conn.cursor()

# Check if the 'faces' table exists, create it if not
cursor.execute('''
    CREATE TABLE IF NOT EXISTS faces (
        id INTEGER PRIMARY KEY AUTOINCREMENT,
        aadhaar TEXT,
        encoding BLOB
    )
''')
conn.commit()

# Load images for face recognition
def load_images(directory):
    Images = []
    classnames = []

    myList = os.listdir(directory)

    for cls in myList:
        if os.path.splitext(cls)[1] in [".jpg", ".jpeg"]:
            img_path = os.path.join(directory, cls)
            curImg = cv2.imread(img_path)
            Images.append(curImg)
            classnames.append(os.path.splitext(cls)[0])

    return Images, classnames

Images, classnames = load_images("photos")

def find_encodings(images):
    encode_list = []
    for img in images:
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        encode = face_recognition.face_encodings(img)[0]
        encode_list.append(encode)
    return encode_list

encodeListKnown = find_encodings(Images)

# Function to validate Aadhaar card number
def validate_aadhaar(aadhaar):
    # Implement your Aadhaar card validation logic here
    # For simplicity, let's assume any 4-digit number is a valid Aadhaar card
    return len(aadhaar) == 4 and aadhaar.isdigit()

# Function to verify Aadhaar from the database
def verify_aadhaar_from_database(aadhaar_number):
    cursor.execute("SELECT * FROM faces WHERE aadhaar = ?", (aadhaar_number,))
    user_data = cursor.fetchone()
    return user_data is not None

# Function to perform face recognition and Aadhaar verification
def recognize_and_verify(image, encodeListKnown, aadhaar_number):
    imgS = cv2.resize(image, (0, 0), None, 0.25, 0.25)
    imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
    facesCurFrame = face_recognition.face_locations(imgS)
    encodesCurFrame = face_recognition.face_encodings(imgS, facesCurFrame)

    name = "Unknown"  # Default name for unknown faces

    if len(encodesCurFrame) > 0:
        for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
            matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
            faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
            matchIndex = np.argmin(faceDis)

            if matches[matchIndex]:
                name = classnames[matchIndex].upper()

            y1, x2, y2, x1 = faceLoc
            y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
            cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
            cv2.rectangle(image, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
            cv2.putText(image, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)

            if name != "Unknown":
                # Update Aadhaar data
                url = "https://attendanceviaface.000webhostapp.com"
                url1 = "/update.php"
                data1 = {'name': name, 'aadhaar': aadhaar_number}
                response = requests.post(url + url1, data=data1)

                if response.status_code == 200:
                    st.success("Data updated on: " + url)
                else:
                    st.warning("Data not updated")

                # Store face encoding and Aadhaar number in the database
                face_encoding_bytes = pickle.dumps(encodeFace)
                cursor.execute("INSERT INTO faces (aadhaar, encoding) VALUES (?, ?)", (aadhaar_number, face_encoding_bytes))
                conn.commit()

    # Apply styling with CSS
    st.markdown('<style>img { animation: pulse 2s infinite; }</style>', unsafe_allow_html=True)
    st.image(image, use_column_width=True, output_format="PNG")

    if name == "Unknown":
        st.info("Face not detected. Please try again.")

# Function to take attendance by clicking a photo
def take_attendance_by_photo(encodeListKnown, aadhaar_number):
    # Capture photo using the camera
    captured_image = st.camera_input("Capture a photo for attendance")

    if captured_image is not None:
        # Process the captured image for face recognition
        captured_image = Image.open(captured_image)
        captured_image_np = np.asarray(captured_image)
        captured_image_rgb = cv2.cvtColor(captured_image_np, cv2.COLOR_BGR2RGB)

        # Find faces in the captured image
        faces_captured = face_recognition.face_locations(captured_image_rgb)
        encodes_captured = face_recognition.face_encodings(captured_image_rgb, faces_captured)

        if len(faces_captured) > 0:
            # Check if any of the captured faces match known faces
            for encode_captured, face_loc in zip(encodes_captured, faces_captured):
                matches_captured = face_recognition.compare_faces(encodeListKnown, encode_captured)
                face_dis_captured = face_recognition.face_distance(encodeListKnown, encode_captured)
                match_index_captured = np.argmin(face_dis_captured)

                if matches_captured[match_index_captured]:
                    name_captured = classnames[match_index_captured].upper()

                    # Verify Aadhaar from the database
                    if verify_aadhaar_from_database(aadhaar_number):
                        st.success(f"{name_captured}'s attendance recorded.")
                    else:
                        st.warning(f"{name_captured} is not registered with Aadhaar {aadhaar_number}.")
                else:
                    st.warning("No matching face found in the database.")

        else:
            st.warning("No face detected in the captured photo. Please try again.")

# Take picture using the camera and input Aadhaar card details
img_file_buffer = st.file_uploader("Upload an image", type=["jpg", "jpeg"])
aadhaar_number = st.text_input("Enter Aadhaar Number:")

# Face recognition and Aadhaar verification code...
if img_file_buffer is not None:
    # Validate Aadhaar card number
    if validate_aadhaar(aadhaar_number):
        test_image = Image.open(img_file_buffer)
        image = np.asarray(test_image)
        recognize_and_verify(image, encodeListKnown, aadhaar_number)
    else:
        st.error("Invalid Aadhaar card number. Please enter a valid 4-digit Aadhaar number.")

# Section to take attendance by clicking a photo
st.header("Take Attendance by Clicking Photo")
capture_button = st.button("Capture Photo for Attendance")

if capture_button:
    take_attendance_by_photo(encodeListKnown, aadhaar_number)

# Close the database connection
conn.close()