Absensi Wajah Menggunakan Python

import cv2
import face_recognition
import os# Tentukan folder untuk menyimpan gambar wajah
folder_path = ‘wajah_pengguna/’

# Membuat folder jika belum ada
if not os.path.exists(folder_path):
os.makedirs(folder_path)

# Inisialisasi webcam
cap = cv2.VideoCapture(0)

# Fungsi untuk menyimpan gambar wajah
def simpan_wajah():
print(“Menunggu wajah…”)
while True:
ret, frame = cap.read()
if not ret:
print(“Tidak dapat mengakses kamera.”)
break

# Mengubah gambar menjadi format RGB
rgb_frame = frame[:, :, ::-1]

# Mencari wajah dalam gambar
wajah_locations = face_recognition.face_locations(rgb_frame)

for (top, right, bottom, left) in wajah_locations:
# Menandai wajah di gambar
cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)

# Ambil wajah dan simpan
wajah_image = frame[top:bottom, left:right]
filename = os.path.join(folder_path, “wajah.png”)
cv2.imwrite(filename, wajah_image)
print(“Wajah telah disimpan.”)
break

# Menampilkan hasil di jendela
cv2.imshow(‘Pendeteksian Wajah’, frame)

# Keluar jika menekan tombol ‘q’
if cv2.waitKey(1) & 0xFF == ord(‘q’):
break

cap.release()
cv2.destroyAllWindows()

# Mulai menyimpan wajah
simpan_wajah()

import cv2
import face_recognition
import pandas as pd
import os
from datetime import datetime# Folder penyimpanan wajah
folder_path = ‘wajah_pengguna/’

# Inisialisasi webcam
cap = cv2.VideoCapture(0)

# Membaca wajah yang tersimpan
def baca_wajah():
wajah_images = []
wajah_names = []

for filename in os.listdir(folder_path):
img_path = os.path.join(folder_path, filename)
image = face_recognition.load_image_file(img_path)
wajah_encoding = face_recognition.face_encodings(image)

if len(wajah_encoding) > 0:
wajah_images.append(wajah_encoding[0])
wajah_names.append(filename.split(‘.’)[0]) # Menyimpan nama file tanpa ekstensi

return wajah_images, wajah_names

# Fungsi untuk mencatat absensi
def catat_absensi(wajah_names):
# Mencatat absensi di file CSV
now = datetime.now()
waktu = now.strftime(‘%Y-%m-%d %H:%M:%S’)

df = pd.read_csv(‘absensi.csv’) if os.path.exists(‘absensi.csv’) else pd.DataFrame(columns=[“Nama”, “Waktu”])

# Menambahkan data absensi
for name in wajah_names:
df = df.append({“Nama”: name, “Waktu”: waktu}, ignore_index=True)

df.to_csv(‘absensi.csv’, index=False)
print(“Absensi telah dicatat.”)

# Fungsi utama untuk mendeteksi wajah
def deteksi_wajah():
wajah_images, wajah_names = baca_wajah()

while True:
ret, frame = cap.read()
if not ret:
print(“Tidak dapat mengakses kamera.”)
break

# Mengubah gambar menjadi format RGB
rgb_frame = frame[:, :, ::-1]

# Mendeteksi wajah dan mengenali wajah
wajah_locations = face_recognition.face_locations(rgb_frame)
wajah_encodings = face_recognition.face_encodings(rgb_frame, wajah_locations)

wajah_detected = []

for (top, right, bottom, left), wajah_encoding in zip(wajah_locations, wajah_encodings):
matches = face_recognition.compare_faces(wajah_images, wajah_encoding)

if True in matches:
match_index = matches.index(True)
nama = wajah_names[match_index]
wajah_detected.append(nama)

# Menandai wajah yang dikenali
cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)
cv2.putText(frame, nama, (left, top – 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)

# Menampilkan hasil
cv2.imshow(‘Absensi Wajah’, frame)

# Jika ada wajah yang terdeteksi, catat absensi
if wajah_detected:
catat_absensi(wajah_detected)

# Keluar jika menekan tombol ‘q’
if cv2.waitKey(1) & 0xFF == ord(‘q’):
break

cap.release()
cv2.destroyAllWindows()

# Mulai proses absensi
deteksi_wajah()

import tkinter as tk
from tkinter import messageboxdef mulai_absensi():
try:
deteksi_wajah() # Menjalankan deteksi wajah
except Exception as e:
messagebox.showerror(“Error”, str(e))

# Membuat window Tkinter
window = tk.Tk()
window.title(“Aplikasi Absensi Wajah”)

# Membuat tombol untuk mulai absensi
start_button = tk.Button(window, text=“Mulai Absensi”, command=mulai_absensi, height=2, width=20)
start_button.pack(pady=20)

# Menjalankan aplikasi
window.mainloop()