Turut berduka cita atas semua orang yang terkena kasus Covid 19, yang kian hari kian mengganas, saat ini negara yang terdampaknya sangat parah adalah India. 

Penggunaan masker adalah salah satu yang bisa kita terapkan guna meminimalisir terkena covid 19, namun masalahnya adalah masih banyak yang enggan menggunakan masker, maka disini perlu penerapan teknologi tepat guna agar masyarakat selalu sadar. 

Hardware yang dibutuhkan :

1. Projectboard
2. NodeMCU
3. Sensor Ping
4. Kabel Jumper
5. Kamera Webcam

import serial
m5 = serial.Serial('COM5', 115200, timeout=.1)# change port as per your Nodemcu Port
while True:
	da = m5.readline()[:-2]
	if da==b'H'
           print("data recived")

Kode untuk NodeMCU

#include 
#include 

const char* ssid = "ssid";
const char* password = "pass";

#define echoPin 5 
#define trigPin 4
long duration; 
int distance;
int val;
int irs = 2;
//int pump = 14;

Servo myservo;
WiFiServer server(80);

void setup() {
  WiFi.softAPdisconnect (true);
  Serial.begin(115200);
  delay(10);
  myservo.attach(0)
  myservo.write(0);
  pinMode(irs, INPUT);
  //pinMode(pump,OUTPUT);
  pinMode(trigPin, OUTPUT); 
  pinMode(echoPin, INPUT);
 
  WiFi.begin(ssid, password);
 
  while (WiFi.status() != WL_CONNECTED) {
    delay(500);
  }

  server.begin();
  
 Serial.print(WiFi.localIP());
  
}
 
void loop() {
  int irsval = digitalRead(irs);
  digitalWrite(trigPin, 0);
  delayMicroseconds(2);
  digitalWrite(trigPin, 1);
  delayMicroseconds(10);
  digitalWrite(trigPin, 0);
  duration = pulseIn(echoPin, 1);
  distance = duration * 0.034 / 2; 
  if (distance < 45){
    Serial.println('H');
    delay(2000);
  }
  WiFiClient client = server.available();
  if (!client) {
    return;
  }
 
  while(!client.available()){
    delay(1);
  }
 
  String request = client.readStringUntil('\r');
  client.flush();
  
  if (request.indexOf("/M") != -1){
    myservo.write(90);
    delay(1000);
    myservo.write(0);
  }
  else if (request.indexOf("/P") != -1)  {
    Serial.println('D');
    delay(30000);
    if(irsval==0){
      Serial.println('S');
    }
  }
  
  client.println("HTTP/1.1 200 OK");
  client.println("Content-Type: text/html");
  client.println(""); 
  client.println("");
  client.println("");
  client.println("");
  client.println("
ATI SYSTEMS
");
  client.println(""); 
  client.println("");
 
  delay(1);
}

Kode Untuk Python OpenCV

import cv2
import serial
import webbrowser
import pyttsx3

engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1].id)

def say(audio):
    engine.say(audio) 
    engine.runAndWait()
    
m5 = serial.Serial('COM8', 115200, timeout=.1)

face_cascade = cv2.CascadeClassifier('/Users/HP/Desktop/haarcascade_frontalface_default.xml')
mouth_cascade = cv2.CascadeClassifier('/Users/HP/Desktop/Mouth.xml')

cap = cv2.VideoCapture(1)

while True:
    da = m5.readline()[:-2]
    if da==b'H':
        ret, img = cap.read()
        img = cv2.flip(img,1)
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        (thresh, black_and_white) = cv2.threshold(gray, 80, 255, cv2.THRESH_BINARY)
        faces = face_cascade.detectMultiScale(gray, 1.1, 4)
        faces_bw = face_cascade.detectMultiScale(black_and_white, 1.1, 4)
        for (x, y, w, h) in faces:
            cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
            roi_gray = gray[y:y + h, x:x + w]
            roi_color = img[y:y + h, x:x + w]
            mouth_rects = mouth_cascade.detectMultiScale(gray, 1.5, 5)
            if(len(mouth_rects) == 0):
                print("MASK DETECTED")
            else:
                for (mx, my, mw, mh) in mouth_rects:
                    if(y < my < y + h):
                        print("NO MASK DETECTED")
                        say("sir please wear mask")
                        webbrowser.open('http://192.168.43.212/M')
                        break    
    elif da==b'D':
        say("sir please sanitize your hands")
    elif da==b'S':
        webbrowser.open('http://192.168.43.212/P')
    else:
        print("YOU ARE GREAT AJ")
    #cv2.imshow('frame',img)    
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()

Referensi: https://www.hackster.io/javedbasira/python-opencv-nodemcu-mask-detection-9279bc