🔥 AI Face Recognition Attendance System in Python

   Demo :

Click Video 👇👇👇

📂 Folder Structure:

📁 Face-Recognition-Attendance  

│── 📄 main.py  

│── 📄 face_encodings.py  

│── 📄 attendance.csv  

│── 📄 requirements.txt  

📁 images (Folder to store face images)

📝 Python Code:

1️⃣ main.py (Face Recognition & Attendance Marking)

import cv2

import face_recognition

import numpy as np

import os

import csv

from datetime import datetime

# Load known faces

known_face_encodings = []

known_face_names = []

path = "images"

for img_name in os.listdir(path):

    img = face_recognition.load_image_file(f"{path}/{img_name}")

    encoding = face_recognition.face_encodings(img)[0]

    known_face_encodings.append(encoding)

    known_face_names.append(os.path.splitext(img_name)[0])

# Initialize webcam

video_capture = cv2.VideoCapture(0)

# Open CSV file for attendance

csv_filename = "attendance.csv"

if not os.path.exists(csv_filename):

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

        writer = csv.writer(file)

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

while True:

    ret, frame = video_capture.read()

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

    face_locations = face_recognition.face_locations(rgb_frame)

    face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)

    for face_encoding, (top, right, bottom, left) in zip(face_encodings, face_locations):

        matches = face_recognition.compare_faces(known_face_encodings, face_encoding)

        name = "Unknown"

        if True in matches:

            match_index = matches.index(True)

            name = known_face_names[match_index]

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

        cv2.putText(frame, name, (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)

        # Mark attendance

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

            writer = csv.writer(file)

            writer.writerow([name, datetime.now().strftime("%Y-%m-%d %H:%M:%S")])

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

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

        break

video_capture.release()

cv2.destroyAllWindows()