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To set up (using a bot method), follow these general steps: Create Your Bot: Open Telegram and search for @BotFather . Type /newbot and follow the instructions to name your bot. Save the API Token provided. Get Your Chat ID: Search for @userinfobot to get your unique user ID. Configure Your Camera/Bridge:
Follow the prompts to assign a name and a unique username to your bot. ipcam telegram free
Whenever motion is detected, MotionEye will trigger the script, passing the captured snapshot or video. To set up (using a bot method), follow
Open your NVR software's motion settings and mask out busy public areas, blowing trees, or high-traffic pet zones. Only highlight entry points like doors and windows. Get Your Chat ID: Search for @userinfobot to
import cv2 import requests import time # Configuration TOKEN = "YOUR_BOT_TOKEN" CHAT_ID = "YOUR_CHAT_ID" CAMERA_URL = "http://192.168.1" # Replace with your stream URL def send_telegram_photo(image_path): url = f"https://telegram.orgTOKEN/sendPhoto" with open(image_path, 'rb') as photo: files = 'photo': photo data = 'chat_id': CHAT_ID, 'caption': '⚠️ Motion Alert detected!' requests.post(url, files=files, data=data) # Initialize camera cap = cv2.VideoCapture(CAMERA_URL) ret, frame1 = cap.read() ret, frame2 = cap.read() while cap.isOpened(): # Calculate difference between frames to detect movement 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) dilated = cv2.dilate(thresh, None, iterations=3) contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) for contour in contours: if cv2.contourArea(contour) < 5000: # Adjust sensitivity here continue # Motion triggered cv2.imwrite("alert.jpg", frame2) send_telegram_photo("alert.jpg") time.sleep(10) # Cooldown period to avoid spamming alerts frame1 = frame2 ret, frame2 = cap.read() cap.release() Use code with caution. Optimizing Your DIY Security Setup