Motion detection application that recognize motion by We camera and record motion time stamp to a HTML file in an interactive chart.

detect.py

import cv2, time

first_frame = None

video=cv2.VideoCapture(0)

while True:
    check, frame = video.read()
    gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray=cv2.GaussianBlur(gray,(21,21),0)
    if first_frame is None:
        first_frame = gray
        continue #continue the While loop

    delta_frame = cv2.absdiff(first_frame, gray)
    thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1] #Tuple
    thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

    #Find the contours
    (_,cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    for contour in cnts:
        if cv2.contourArea(contour) < 1000:
            continue
        (x, y, w, h) = cv2.boundingRect(contour)
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3)

    cv2.imshow("Gray frame", gray)
    cv2.imshow("Delta frame", delta_frame)
    cv2.imshow("Threshold frame", thresh_frame)
    cv2.imshow("Color frame", frame)
    key=cv2.waitKey(1)

    print(gray)
    print(delta_frame)
    
    if key == ord('q'):
        break

video.release()

cv2.destroyAllWindows

MotionDetection.py

import cv2, time

#1. Create an object. Zero for external camera
video=cv2.VideoCapture(0)

#7. Play the video (Indenting)

#8. a variable
a=0

while True:
    a = a + 1
    #3. Create a frame object
    check, frame = video.read()

    print(check)
    print(frame) #Reresenting image

    #6. Converting to Graycolor
    gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    #time.sleep(3)

    #4. Show the frame
    #cv2.imshow("Capturing", frame)
    #6.1.
    cv2.imshow("Capturing", gray)


    #5. For press any key to out (miliseconds)
    #cv2.waitKey(0)
    
    #7. For playing
    key=cv2.waitKey(1)
    
    if key == ord('q'):
        break

print(a)
#2. Shut down the camera
video.release()

cv2.destroyAllWindows