Face Attendance System

 import cv2

import numpy as np

import face_recognition

import os

import csv

from datetime import datetime

# Folder containing images of known faces

KNOWN_FACES_DIR = "known_faces"

ATTENDANCE_FILE = "attendance.csv"

# Load known face encodings and names

known_encodings = []

known_names = []

for filename in os.listdir(KNOWN_FACES_DIR):

    image_path = os.path.join(KNOWN_FACES_DIR, filename)

    image = face_recognition.load_image_file(image_path)

    encoding = face_recognition.face_encodings(image)[0]

    known_encodings.append(encoding)

    known_names.append(os.path.splitext(filename)[0])  # Remove file extension

# Initialize webcam

video_capture = cv2.VideoCapture(0)

# Function to mark attendance

def mark_attendance(name):

    with open(ATTENDANCE_FILE, "a", newline="") as file:

        writer = csv.writer(file)

        now = datetime.now()

        time_str = now.strftime("%H:%M:%S")

        date_str = now.strftime("%Y-%m-%d")

        writer.writerow([name, date_str, time_str])

# Create CSV file with headers if it doesn't exist

if not os.path.exists(ATTENDANCE_FILE):

    with open(ATTENDANCE_FILE, "w", newline="") as file:

        writer = csv.writer(file)

        writer.writerow(["Name", "Date", "Time"])

# Process video stream

while True:

    ret, frame = video_capture.read()

    if not ret:

        break

    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)  # Optimize performance

    rgb_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB)

    # Detect faces in the frame

    face_locations = face_recognition.face_locations(rgb_frame)

    face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)

    for encoding, location in zip(face_encodings, face_locations):

        matches = face_recognition.compare_faces(known_encodings, encoding)

        name = "Unknown"

        if True in matches:

            index = matches.index(True)

            name = known_names[index]

            mark_attendance(name)  # Mark attendance in CSV

        # Draw bounding box around detected face

        top, right, bottom, left = [v * 4 for v in location]

        cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)

        cv2.putText(frame, name, (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 0), 2)

    cv2.imshow("Face Attendance System", frame)

    if cv2.waitKey(1) & 0xFF == ord("q"):

        break

video_capture.release()

cv2.destroyAllWindows()