Published July 12, 2020 © GPL3+

Smart fire detection using opencv and python

Consistently individuals bring about an enormous loss of property a life because of fire and blasts. Fire being one of the savage component

IntermediateShowcase (no instructions)5 hours8,506

Smart fire detection using opencv and python

Things used in this project

Hardware components

Arduino UNO

NodeMCU ESP8266 Breakout Board

Low Voltage Transformer, Class II

Solenoid Valve, 2 Way

Relay (generic)

Single Turn Potentiometer- 10k ohms

Linear Regulator (7805)

1N4007 – High Voltage, High Current Rated Diode

Capacitor 10 µF

Buzzer

Software apps and online services

Arduino IDE

Jupyter Notebook

OpenCV

Story

Fire is something that devours giving out splendid light, warmth, and smoke. Fire can be perilous and shocking on occasion causing loss of individuals and property. In the event of such flames, there is a need to recognize it at the opportune time and act right away. In this way, we are utilizing PC vision innovation to identify fire and send an alarm to a remote fire station. This alarm isn't just sent as a crisis message yet in addition a video is sent alongside it, considering the room is under steady reconnaissance. Through this video, we can realize what number of individuals are inside the room and the fire station may send adequate rescuers dependent on the video to save individuals. The favorable position is that we abstain from utilizing fire and smoke sensors that may give bogus alerts. In the event that there is a bogus caution by utilizing our framework, we can confirm it by checking the video.

Code

void setup() {
 Serial.begin(9600);
 pinMode(A0,INPUT);
 pinMode(A1,INPUT);
 pinMode(A2,INPUT);
 pinMode(8,OUTPUT);
 pinMode(7,OUTPUT);
 
}

void loop() {
  if(Serial.available()>0){
    char ser = Serial.read();
    Serial.println(ser);
    if(ser == 'A'){
      digitalWrite(7,HIGH);
      delay(5000);
   digitalWrite(8,HIGH);
   delay(1000);
    Serial.println("*");
      Serial.println("FIRE DETECTED");
      Serial.println("#");
    }
  }
    int gas=analogRead(A0);
    Serial.println("*");
    Serial.print("GAS = ");
    Serial.println(gas);
    delay(500);
    Serial.println("#");
    
    if(gas >250){
      digitalWrite(7,1);
      delay(2000);
      digitalWrite(7,0);
      
      digitalWrite(8,1);
      delay(2000);
      digitalWrite(8,0);
      Serial.println("*");
    Serial.print("GAS DETECTED ");
     
    Serial.println("*");
    delay(500);
    }
     Serial.println("*");
    int v1 = analogRead(A1);
    Serial.println("Current value ");
    delay(500);
    //Serial.println(v1);
int    v3=(v1/20.805056);
    Serial.print(v3);
        delay(500);
    Serial.println("#");
    
    Serial.println("*");
    int v2 = analogRead(A2);
    Serial.print("Voltage value");
    delay(500);
    //Serial.println(v2);
    int v4=(v2/20.805056);
    
    Serial.print(v4);
    if(v4>13||v3>5)
    {
      Serial.print("CIRUIT TRIPPED");
         }
         else{
           digitalWrite(8,LOW);
      digitalWrite(7,LOW);
          }
    
    delay(500);
    Serial.println("#");
    

}

import cv2
import numpy as np
import serial
 
video_file = r"C:\Users\hp\Downloads\water 20 second video.mp4"
video = cv2.VideoCapture(video_file)
ser = serial.Serial('COM5')
 
while True:
    (grabbed, frame) = video.read()
    if not grabbed:
        break
 
    blur = cv2.GaussianBlur(frame, (21, 21), 0)
    hsv = cv2.cvtColor(blur, cv2.COLOR_BGR2HSV)
 
    lower = [18, 50, 50]
    upper = [35, 255, 255]
    lower = np.array(lower, dtype="uint8")
    upper = np.array(upper, dtype="uint8")
    mask = cv2.inRange(hsv, lower, upper)
    
 
 
    output = cv2.bitwise_and(frame, hsv, mask=mask)
    no_red = cv2.countNonZero(mask)
    cv2.imshow("output", output)
    #print("output:", frame)
    if int(no_red) > 20000:
        print ('Fire detected')
        ser.write(b'A')
    #print(int(no_red))
   #print("output:".format(mask))
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cv2.destroyAllWindows()
video.release()