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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 | |
| import csv | |
| # 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 = [] | |
| classnames = [] | |
| aadhar_numbers = [] # New 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 read names and Aadhaar numbers from a CSV file | |
| def read_csv(file_path): | |
| data = [] | |
| with open(file_path, mode='r') as file: | |
| reader = csv.reader(file) | |
| for row in reader: | |
| data.append(row) | |
| return data | |
| # Load names and Aadhaar numbers from CSV file | |
| csv_data = read_csv('csv.csv') # Replace 'your_csv_file.csv' with the actual file path | |
| # Take picture using the camera and input Aadhaar card details | |
| img_file_buffer = st.camera_input("Take a picture") | |
| aadhaar_number = st.text_input("Enter Aadhaar Number:") | |
| 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 | |
| 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") | |
| # Display the name corresponding to the entered Aadhaar number | |
| if name == "Unknown": | |
| # 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: {csv_data[aadhar_index][0]}") | |
| else: | |
| st.warning("Face not detected, and Aadhaar number not found in the database.") | |
| else: | |
| st.warning("Aadhaar number is valid, but face recognition failed.") | |
| # 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") | |
| else: | |
| st.error("Invalid Aadhaar card number. Please enter a valid 6-digit Aadhaar number.") | |