main_script.py

import cv2
import time




# start_time = time.time()

# # The thing to time. Using sleep as an example
# time.sleep(10)

# end_time = time.time()
# elapsed_time = end_time - start_time

# print("Hello there")







# Function to detect motion in the video frames

def detect_motion(frame1, frame2):

    # Convert frames to grayscale

    gray1 = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY)

    gray2 = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY)

    

    # Calculate absolute difference between frames

    frame_diff = cv2.absdiff(gray1, gray2)

    

    # Apply threshold to get binary image

    _, thresh = cv2.threshold(frame_diff, 30, 255, cv2.THRESH_BINARY)

    

    # Find contours

    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    

    # Check if motion is detected

    motion_detected = False

    for contour in contours:

        if cv2.contourArea(contour) > 1000:  # Adjust this threshold as needed

            motion_detected = True

            break

    

    return motion_detected


# Function to detect falls

def detect_fall():

    cap = cv2.VideoCapture(0)

    

    # Read the first frame

    ret, frame1 = cap.read()

    if not ret:

        print("Error: Couldn't read video source")

        return

    

    while True:

        # Read the next frame

        ret, frame2 = cap.read()

        if not ret:

            break

        

        # Check for motion

        motion_detected = detect_motion(frame1, frame2)

        

        if motion_detected:

            print("Motion detected!")

            # Here you can implement additional logic to analyze the motion and detect falls
        else:
            print("No")
            # start_time = time.time()
            # # The thing to time. Using sleep as an example
            # time.sleep(10)
            # end_time = time.time()
            # elapsed_time = end_time - start_time
            # print("Hello there")

        # Update frame1 to next frame

        frame1 = frame2

        

        # Display the frames

        cv2.imshow('Video', frame2)

        

        # Press 'q' to exit

        if cv2.waitKey(1) & 0xFF == ord('q'):

            break

    

    cap.release()

    cv2.destroyAllWindows()


# Main function

if __name__ == "__main__":

    # Call the function to detect falls

    detect_fall()