From de77f2adaaa63c9956d71056ea421a04539073ce Mon Sep 17 00:00:00 2001 From: Kshitij Date: Sat, 19 Oct 2024 17:41:51 +0530 Subject: [PATCH] Changed notification output shown @ ntfy.sh --- main.py | 33 ++++++++++++++++++++++++++++++++- 1 file changed, 32 insertions(+), 1 deletion(-) diff --git a/main.py b/main.py index a74422e..07467f8 100644 --- a/main.py +++ b/main.py @@ -2,6 +2,12 @@ from picamera2 import Picamera2 import cv2 import numpy as np import time +import requests +from datetime import datetime + +# ntfy.sh topic (choose your unique topic name) +ntfy_topic = "K3R3wHq4w9mwcwNd" # Replace with your ntfy.sh topic +ntfy_url = f"https://ntfy.sh/{ntfy_topic}" # Initialize the camera picam2 = Picamera2() @@ -14,6 +20,8 @@ time.sleep(2) # Give the camera some time to initialize frame1 = picam2.capture_array() frame2 = picam2.capture_array() +motion_detected = False + while True: # Calculate the absolute difference between the two frames diff = cv2.absdiff(frame1, frame2) @@ -33,13 +41,36 @@ while True: # Find contours (motion areas) in the dilated image contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) - # Draw bounding boxes around the contours for contour in contours: if cv2.contourArea(contour) < 500: continue x, y, w, h = cv2.boundingRect(contour) cv2.rectangle(frame1, (x, y), (x + w, y + h), (0, 255, 0), 2) + # If motion is detected and not already notified, send a notification + if not motion_detected: + current_time = datetime.now().strftime("%H:%M:%S") # Get current time + message = f"Motion detected in room at {current_time}" # Format message + + print("Motion detected! Sending notification...") + try: + response = requests.post( + ntfy_url, + json={"message": message} # Send only the message + ) + if response.status_code == 200: + print("Notification sent successfully!") + else: + print(f"Failed to send notification. Status code: {response.status_code}") + except Exception as e: + print(f"Error sending notification: {e}") + + motion_detected = True + + # If no contours are found, reset the motion_detected flag + if len(contours) == 0: + motion_detected = False + # Display the result cv2.imshow("Motion Detection", frame1)