Mask Detection for COVID-19 disease

Contents:

1) Introduction of the Project

2) Functions and Module Used

3) Software requirements to run the Program

4) Main Program

1) Introduction of the Project

In today’s world, all the things have become

computerized.

As we all know, COVID-19 can spread when

People breathe, talk, cough or sneeze.

Wearing a mask keeps the virus from reaching

Others. It also can stop the virus from reaching

You.

So this program simply Detect all Faces

Camera, then detect Mask on their faces with

The help of Artificial Intelligence (A.1.)

Machine Learning (M.L.).

If someone found without Mask on his/her face

Then “Be Safe Mask not Found” text will be

printed on screen or Custom

required action can be taken by that

Organization who using this Program.

For example: If someone is without Mask then

By using SSH and Arduino this Program will

Close the door or whatever we will set.

2) Functions and Module used:

cv2.VideoCapture(0):

Cv2 is the module for real-time computer vision.

VideoCapture(0) used for capturing frames from

Camera on number (0).

cv2.CascadeClassifier(“Haarcascade.xml”):

This function reads the trained file for

Mask Detection. Haarcascade.xml is the file

contains all Coordinates codings of AI and ML for

Mask Points. We can train this our Own.

cv2.read():

This function reads the frames from Camera

Number (0) which we set above using VideoCapture

detectMultiScale():

This function detect Co-ordinates for Masks which

we trained from above function CascadeClassifer.

cv2.imshow():

This function Displays the Captured Frames which

We captured from cv2.read() function.

3) Software/Hardware Requirements to run the Program:

1) OpenCV-Python, This is Most Important because This is the main library we use in this program

2) Python 3.x, This is required because, I have tested on this only.

3) Pip3, This is required because packages we install will be installed by this program

4) Camera required, We can change this later by using real-time or from saved Image

5) Windows,Linux,Mac any OS support this because python is Cross-Platform

6) NumPy Library, We will not use this library but This will Installed with OpenCV-Python

Files for Downloading:

1) Haarcascade for Mask Trained by Me, Click Here

2) Haarcascade for Face come with OpenCV-Python by default. Click here for Download Manually

4) Main Program:

import cv2

import numpy as np

cam = cv2.VideoCapture(0)

obj = cv2.CascadeClassifier("myhaar.xml")

face = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

while 1:

r,img = cam.read()

img = cv2.flip(img,3)

mask = obj.detectMultiScale(img,1.3,5)

faces = face.detectMultiScale(img,1.3,5)

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

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

cv2.putText(img,"Very Good! Keep it Up",(50,50),cv2.FONT_HERSHEY_SIMPLEX,1,(0,255,0),3,cv2.LINE_AA)

if len(mask) == 0:

print("Mask Not Found! Be Safe from CORONA.")

for (x1,y1,w1,h1) in faces:

cv2.rectangle(img,(x1,y1),(x1+w1,y1+h1),(0,0,255),2)

cv2.putText(img,"Be Safe! Mask Not Found.",(50,50),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),3,cv2.LINE_AA)

cv2.imshow("A",img)

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

break

cv2.destroyAllWindows()

Tutorial: