readme.md

Facemask Detection Project

Purpose: Facemask Detection for preventing covid-19 case

1. Data Collection

Collect 150 picture as the dataset by capturing picture using webcam

clc
clear all
close all
warning off;
cao=webcam;
faceDetector=vision.CascadeObjectDetector;
c=150;
temp=0;
while true
    e=cao.snapshot;
    bboxes =step(faceDetector,e);
    if(sum(sum(bboxes))~=0)
    if(temp>=c)
        break;
    else
    es=imcrop(e,bboxes(1,:));
    es=imresize(es,[227 227]);
    filename=strcat(num2str(temp),'.bmp');
    imwrite(es,filename);
    temp=temp+1;
    imshow(es);
    drawnow;
    end
    else
        imshow(e);
        drawnow;
    end
end

Noted: make sure that the data is captured perfectly

2. Data Training

In this step, the system will learn how the data goes. You need to consider also the learning rate, batch size, etc.

clc;close;clear
c=webcam;
load myNet1;
faceDetector=vision.CascadeObjectDetector;
while true
    e=c.snapshot;
    bboxes =step(faceDetector,e);
    if(sum(sum(bboxes))~=0)
     es=imcrop(e,bboxes(1,:));
    es=imresize(es,[227 227]);
    label=classify(myNet1,es);
    image(e);
    title(char(label));
    drawnow;
    else
        image(e);
        title('No Face Detected');
    end
end

3. Data Testing

Now, we can see how the system is able to work. It will inform the face and the facemask

clc;close;clear
c=webcam;
load myNet1;
faceDetector=vision.CascadeObjectDetector;
while true
    e=c.snapshot;
    bboxes =step(faceDetector,e);
    if(sum(sum(bboxes))~=0)
     es=imcrop(e,bboxes(1,:));
    es=imresize(es,[227 227]);
    label=classify(myNet1,es);
    image(e);
    title(char(label));
    drawnow;
    else
        image(e);
        title('No Face Detected');
    end
end

The reult is quite good