Python 3 OpenCV Detect People Face in Webcam and Send SMS Using Sinch API in Command Line

pip install opencv-python

pip install opencv-python

# OpenCV program to detect face in real time
# import libraries of python OpenCV
# where its functionality resides

from cv2 import cv2

import clx.xms
import requests
# By creating an account in sinch sms You can get your code.
# code for sms starts here
#client is a object that carries your unique token.
client = clx.xms.Client(service_plan_id='your_service id',
            token='token_id')

create = clx.xms.api.MtBatchTextSmsCreate()
create.sender = 'sender no.'
create.recipients = {'recipients no.'}
create.body = 'This is a test message from your Sinch account'
# code for sms ends here
# Face Recognition starts from here.
# load the required trained XML classifiers
#https://github.com/opencv/opencv/blob/master
#/data/haarcascades/haarcascade_frontalface_default.xml
# Trained XML classifiers describes some features of some
# object we want to detect a cascade function is trained
# from a lot of positive(faces) and negative(non-faces)
# images.

detector = cv2.CascadeClassifier(
  "path")

# capture frames from a camera

cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)
#We want to send sms only once not until the face is there and for that we are
#initializing the counter
counter = 0
# loop runs if capturing has been initialized.

while True:
  # reads frames from a camera

  ret, img = cap.read()

  if ret:
    # convert to gray scale of each frames

    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  # Detects faces of different sizes in the input image

    faces = detector.detectMultiScale(gray, 1.1, 4)

    for face in faces:
      
      x, y, w, h = face
      # if there is any face and counter is zero then only it will send notification to the sender
      if(face.any() and counter ==0):
        try:
        batch = client.create_batch(create)
        except (requests.exceptions.RequestException, clx.xms.exceptions.ApiException) as ex:
          print('Failed to communicate with XMS: %s' % str(ex))
        #sms ends here
      # To draw a rectangle in a face
      cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
  
    
    cv2.imshow("Face", img)
    counter = 1
  # Wait for 'q' key to stop

  key = cv2.waitKey(1)
  if key == ord("q"):
    break
# Close the window
cap.release()
# De-allocate any associated memory usage

cv2.destroyAllWindows()

# OpenCV program to detect face in real time

# import libraries of python OpenCV

# where its functionality resides

​

from cv2 import cv2

​

import clx.xms

import requests

# By creating an account in sinch sms You can get your code.

# code for sms starts here

#client is a object that carries your unique token.

client = clx.xms.Client(service_plan_id='your_service id',

            token='token_id')

​

create = clx.xms.api.MtBatchTextSmsCreate()

create.sender = 'sender no.'

create.recipients = {'recipients no.'}

create.body = 'This is a test message from your Sinch account'

# code for sms ends here

# Face Recognition starts from here.

# load the required trained XML classifiers

#https://github.com/opencv/opencv/blob/master

#/data/haarcascades/haarcascade_frontalface_default.xml

# Trained XML classifiers describes some features of some

# object we want to detect a cascade function is trained

# from a lot of positive(faces) and negative(non-faces)

# images.

​

detector = cv2.CascadeClassifier(

  "path")

​

# capture frames from a camera

​

cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)

#We want to send sms only once not until the face is there and for that we are

#initializing the counter

counter = 0

# loop runs if capturing has been initialized.

​

while True:

  # reads frames from a camera

​

  ret, img = cap.read()

​

  if ret:

    # convert to gray scale of each frames

​

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

  # Detects faces of different sizes in the input image

​

    faces = detector.detectMultiScale(gray, 1.1, 4)

​

    for face in faces:

      x, y, w, h = face

      # if there is any face and counter is zero then only it will send notification to the sender

      if(face.any() and counter ==0):

        try:

        batch = client.create_batch(create)

        except (requests.exceptions.RequestException, clx.xms.exceptions.ApiException) as ex:

          print('Failed to communicate with XMS: %s' % str(ex))

        #sms ends here

      # To draw a rectangle in a face

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

    cv2.imshow("Face", img)

    counter = 1

  # Wait for 'q' key to stop

​

  key = cv2.waitKey(1)

  if key == ord("q"):

    break

# Close the window

cap.release()

# De-allocate any associated memory usage

​

cv2.destroyAllWindows()