import cv2

import numpy as np

import datetime

import time

from time import sleep

import RPi.GPIO as GPIO

from message import send_to_telegram

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt2.xml')

eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

cap = cv2.VideoCapture(0)

def servo_berputar():

GPIO.stop()

def bunyi_buzzer():

GPIO.cleanup()

merem = 0

print("alat dimulai pukul ")

print(datetime.datetime.now())

while True:

ret, img = cap.read()

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.2, 5)

matadetected = False

if len(faces) > 0:

for(x,y,w,h) in faces:

cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)

roi_gray = gray[y:y+h, x:x+w]

roi_color = img[y:y+h, x:x+w]

eyes = eye_cascade.detectMultiScale(roi_gray)

if len(eyes) == 0:

merem = merem + 1

if merem > 2:

bunyi_buzzer()

if merem > 4:

servo_berputar()

send_to_telegram("Target Mengantuk")

print("target mengantuk")

else:

GPIO.cleanup()

cv2.imshow('img',img)

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

break

cap.release()

cv2.destroyAllWindows()