Fire Detection Using Python With OpenCV - Creation Code

Fire Detectors: 

Fire detectors sense one or more of the products or phenomena resulting from fire, such as smoke, heat, infrared, and/or ultraviolet light radiation, or gas

We will use our little knowledge of python and OpenCV to make this project so let's jump into the code without wasting any time

Code:

import cv2

import numpy as np

import matplotlib.pyplot as plt

live_Camera = cv2.VideoCapture(0)

lower_bound = np.array([11,33,111])

upper_bound = np.array([90,255,255])

while(live_Camera.isOpened()):

    ret, frame = live_Camera.read()

    frame = cv2.resize(frame,(1280,720))

    frame = cv2.flip(frame,1)

    frame_smooth = cv2.GaussianBlur(frame,(7,7),0)

    mask = np.zeros_like(frame)

    mask[0:720, 0:1280] = [255,255,255]

    img_roi = cv2.bitwise_and(frame_smooth, mask)

    frame_hsv = cv2.cvtColor(img_roi,cv2.COLOR_BGR2HSV)

    image_binary = cv2.inRange(frame_hsv, lower_bound, upper_bound)

    check_if_fire_detected = cv2.countNonZero(image_binary)

   

    if int(check_if_fire_detected) >= 20000 :

        cv2.putText(frame,"Fire Detected !",(300,60),cv2.FONT_HERSHEY_COMPLEX,3,(0,0,255),2)

    cv2.imshow("Fire Detection",frame)

    if cv2.waitKey(1) & 0xff =='q' :

        break

live_Camera.release()

cv2.destroyAllWindows()

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