Webcam_Motion_Detector.py

import cv2, time, pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
times = []
data_frame = pandas.DataFrame(columns =["Start","End"])

video = cv2.VideoCapture(0)


while True:

    check, frame = video.read()
    status = 0

    gray_frame = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    gray_frame = cv2.GaussianBlur(gray_frame,(21,21),0)

    if first_frame is None:
        first_frame = gray_frame
        continue


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


    (_,cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)


    for contour in cnts:
        if cv2.contourArea(contour) < 10000:
            continue

        status = 1

        (x,y,w,h) = cv2.boundingRect(contour)
        cv2.rectangle(frame, (x,y), (x+w, y+h), (0,255,0), 3)


    status_list.append(status)

    if status_list[-1]== 1 and status_list[-2]== 0:
        times.append(datetime.now())

    if status_list[-1]== 0 and status_list[-2]== 1:
        times.append(datetime.now())



    cv2.imshow("Gray Frame",gray_frame)
    cv2.imshow("Delta Frame", delta_frame)
    cv2.imshow("Threash Hold",thresh_frame)
    cv2.imshow("Color Frame",frame)



    key = cv2.waitKey(1)


    if key == ord('q'):
        if status == 1:
            times.append(datetime.now())
        break


    print(status_list)
    print(times)

    end = None
    if len(times) % 2 !=0:
        end = len(times) -1
    else:
        end = len(times)

    for i in range(0,end,2):
        data_frame = data_frame.append({"Start":times[i], "End":times[i+1]}, ignore_index = True)

    data_frame.to_csv("Frame_Times.csv")
    

video.release()
cv2.destroyAllWindows