if motion_score > MOTION_THRESHOLD: print(f"[!] Motion detected! Score: {motion_score}") cv2.imwrite("alert.jpg", frame2) send_photo("alert.jpg") sleep(10) # Cooldown to avoid spam
frame1 = frame2 sleep(CHECK_INTERVAL)
# Motion detection logic diff = cv2.absdiff(frame1, frame2) gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY) blur = cv2.GaussianBlur(gray, (5,5), 0) _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY) motion_score = cv2.countNonZero(thresh) ipcam telegram
pip install python-telegram-bot requests opencv-python Save this as security_cam.py . Replace the variables (URL, TOKEN, CHAT_ID).
import requests import cv2 import numpy as np from time import sleep CAMERA_URL = "http://192.168.1.100/photo.jpg" # Your snapshot URL BOT_TOKEN = "7236456789:AAHdqTcvCH1vGWJxfSeofSAs0K5PALDsaw" CHAT_ID = "123456789" MOTION_THRESHOLD = 500 # Lower = more sensitive CHECK_INTERVAL = 2 # Seconds between checks ========================= def send_photo(image_path): url = f"https://api.telegram.org/bot{BOT_TOKEN}/sendPhoto" with open(image_path, 'rb') as img: files = {'photo': img} data = {'chat_id': CHAT_ID, 'caption': '🚨 Motion Detected!'} requests.post(url, files=files, data=data) if motion_score > MOTION_THRESHOLD: print(f"[
Install "IP Webcam" from the Play Store, point it at your front door, and use the same script. No new hardware needed.
from telegram.ext import Application, CommandHandler async def snap(update, context): img = get_frame() cv2.imwrite("manual.jpg", img) await update.message.reply_photo(photo=open('manual.jpg', 'rb')) import requests import cv2 import numpy as np
python3 security_cam.py Want to check your home manually? Add this command handler to the same script so you can text your bot /snap and get an instant photo.