py_intruderdetection_full.py

import time

import cv2
import numpy as np
from PIL import ImageGrab

def intruder_detector():
    screenTOP = 210
    screenBOT = 775
    screenLFT = 150
    screenRGT = 1275

    framecount = 0
    strt_time = time.time()
    comparison_frame = None
    movement_detected = False
    contours = []

    while True:
        framecount += 1
        movement_detected = False

        img_bgr= np.array(ImageGrab.grab(bbox=(screenLFT, screenTOP, screenRGT, screenBOT)))


        # 2
        img_rgb = cv2.cvtColor(src=img_bgr, code=cv2.COLOR_BGR2RGB)
        processed_frame = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY)
        processed_frame = cv2.GaussianBlur(processed_frame, (5, 5), 0)

        if (comparison_frame is None or time.time() - strt_time > 10):
            comparison_frame = processed_frame
            strt_time = time.time()
        # calculate difference
        diff_frame = cv2.absdiff(src1=comparison_frame, src2=processed_frame)



        thresh_frame = cv2.threshold(src=diff_frame, thresh=20, maxval=255, type=cv2.THRESH_BINARY)[1]

        contours, _ = cv2.findContours(image=thresh_frame, mode=cv2.RETR_EXTERNAL, method=cv2.CHAIN_APPROX_SIMPLE)

        # 4. Draw green rectangles around each contour on the original frame and show
        for contour in contours:
            if cv2.contourArea(contour) < 250:
                # too small: skip!
                continue
            (x, y, w, h) = cv2.boundingRect(contour)
            # making green rectangle around the moving object
            cv2.rectangle(img_rgb, (x, y), (x + w, y + h), (0, 255, 0), 3)
            movement_detected = True
        if (movement_detected):
            cv2.putText(img=img_rgb, text=f"Movement detected!", org=(75, 20), fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=0.7, color=(0, 0, 255), thickness=2);

        # Display
        cv2.imshow('Result', img_rgb)

        # press ESCAPE to exit
        if (cv2.waitKey(30) == 27):
            break


if (__name__ == '__main__'):
    intruder_detector()