motion detector (you are at ("rest or motion")?)

import turtle

import cv2

def detect_motion():
    # Start video capture
    cap = cv2.VideoCapture(0)

    # Read the first frame
    ret, frame1 = cap.read()
    frame1_gray = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY)
    frame1_gray = cv2.GaussianBlur(frame1_gray, (21, 21), 0)

    while True:
        # Read next frame
        ret, frame2 = cap.read()
        frame2_gray = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY)
        frame2_gray = cv2.GaussianBlur(frame2_gray, (21, 21), 0)

        # Compare frames
        diff = cv2.absdiff(frame1_gray, frame2_gray)
        thresh = cv2.threshold(diff, 25, 255, cv2.THRESH_BINARY)[1]
        thresh = cv2.dilate(thresh, None, iterations=2)

        # Find contours (areas of change)
        contours, _ = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

        motion_detected = False
        for contour in contours:
            if cv2.contourArea(contour) > 500:  # Ignore small changes
                motion_detected = True
                (x, y, w, h) = cv2.boundingRect(contour)
                cv2.rectangle(frame2, (x, y), (x+w, y+h), (0, 255, 0), 2)

        # Show result
        status = "Motion" if motion_detected else "Rest"
        cv2.putText(frame2, f"State: {status}", (10, 30),
                    cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)

        cv2.imshow("Surroundings State", frame2)

        # Update frame1 for next loop
        frame1_gray = frame2_gray

        # Exit on 'q'
        if cv2.waitKey(30) & 0xFF == ord('q'):
            break

    cap.release()
    cv2.destroyAllWindows()

if __name__ == "__main__":
    detect_motion()