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from PIL import Image
import numpy as np
import cv2
import requests
import face_recognition
import os
import streamlit as st
# Set page title and description
st.set_page_config(
page_title="Aadhaar Based Face Recognition Attendance System",
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.")
# Load images for face recognition
Images = [] # List to store Images
classnames = [] # List to store classnames
aadhar_numbers = [] # List to store Aadhaar numbers
directory = "photos"
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])
# Assume Aadhaar number is part of the image filename (e.g., "123456_john.jpg")
aadhar_numbers.append(cls.split('_')[0])
# Function to validate Aadhaar card number
def validate_aadhaar(aadhaar):
# Implement your Aadhaar card validation logic here
# For simplicity, let's assume any 6-digit number is a valid Aadhaar card
return len(aadhaar) == 6 and aadhaar.isdigit()
# Function to update Aadhaar data
def update_data(name, aadhaar_number):
url = "https://attendanceviaface.000webhostapp.com"
url1 = "/update.php"
data = {'name': name, 'aadhaar': aadhaar_number}
response = requests.post(url + url1, data=data)
if response.status_code == 200:
st.success("Data updated on: " + url)
else:
st.warning("Data not updated")
# Function to display image with overlay
def display_image_with_overlay(image, name):
# Add overlay to the image (e.g., bounding box and name)
# ...
# 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")
# Take input Aadhaar card details
aadhaar_number = st.text_input("Enter your Last 6-digits Aadhaar Number:")
# Take picture using the camera
img_file_buffer = st.camera_input("Take a picture")
# Load images for face recognition
encodeListknown = [face_recognition.face_encodings(img)[0] for img in Images]
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)
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
match_found = False # Flag to track if a match is found
# Checking if faces are detected
if len(encodesCurFrame) > 0:
for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
# Assuming that encodeListknown is defined and populated in your code
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()
# Check if Aadhaar number is found in the database
if aadhaar_number not in aadhar_numbers:
st.error("Face recognized, but Aadhaar number not found in the database.")
else:
# Update data only if a known face is detected and Aadhaar number is valid
update_data(name, aadhaar_number)
match_found = True # Set the flag to True
else:
# Face recognized, but not matched with Aadhaar number
st.error("Face recognized, but Aadhaar number does not match.")
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)
display_image_with_overlay(image, name)
# Display the name corresponding to the entered Aadhaar number
if not match_found:
# Match Aadhaar number with the list
aadhar_index = aadhar_numbers.index(aadhaar_number) if aadhaar_number in aadhar_numbers else None
if aadhar_index is not None:
st.success(f"Match found: {classnames[aadhar_index]}")
else:
st.warning("Face not detected, and Aadhaar number not found in the database.")
else:
st.success(f"Face recognized: {name}")
else:
st.warning("No faces detected in the image. Face recognition failed.")
else:
st.error("Invalid Aadhaar card number. Please enter a valid 6-digit Aadhaar number.")
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