import cv2
#import winsound
frequency = 2500
duration = 1200
from PlateExtraction import extraction
from OpticalCharacterRecognition import ocr
from OpticalCharacterRecognition import check_if_string_in_file
image = cv2.imread('./CarPictures/001.jpg')
plate = extraction(image)
cv2.imshow('frame',plate)
text = ocr(plate)
text = ''.join(e for e in text if e.isalnum())
print(text, end=" ")
if check_if_string_in_file('./Database/Database.txt', text) and text != "":
print('Registered')
#winsound.Beep(frequency, duration)
else:
print("Not Registered")
#Listening to the IR sensors for input
sensor1 = GPIO.input(IR1)
sensor2 = GPIO.input(IR2)
exitSensor = GPIO.input(exitIR)
display = drivers.Lcd() # Importing LCD Drivers
#pwm = GPIO.PWM(servoPin, 50) #PWM initialised at 50Hz frequency
availableSlots = 0 #initialising the number of empty slots to 0
#beginning of OpenCv for License Plate recognition
cap = cv2.VideoCapture(0) #Starting Video Capture
#Entering The endless loop for repetitive function
while (True):
ret, frame = cap.read() #Read Frames
plate = extraction(frame) #take a picture
try:
text = ocr(plate) #Do Optical Character Recognition
text = ''.join(e for e in text
if e.isalnum()) #Remove spaces from extracted text
except:
continue
if text != '': #If extracted text is not null
print(text, end=" ") #print the license plate
content = str(text) #convert text to string format
##########Email server configuration for email notifications##########
sendTo = '*****@*****.**' #Receiver of email notifications
emailSubject = "VEHICLE AUTHORISED!" #Email subject
emailContent = "The vehicle with license number: " + content + " " + "has been granted access on:\n " + time.ctime(
) #Email Content
if len(
content