Ip Camera Qr Telegram Full !!top!! Now

Generate a QR code that, when scanned by a smartphone, opens a direct link to your bot with the /snap command pre-filled.

import cv2 import requests import time import os # Configuration TOKEN = "YOUR_TELEGRAM_BOT_TOKEN" CHAT_ID = "YOUR_TELEGRAM_CHAT_ID" RTSP_URL = "rtsp://admin:password@192.168.1.50:554/stream" def send_telegram_photo(image_path): url = f"https://telegram.orgTOKEN/sendPhoto" with open(image_path, 'rb') as photo: payload = 'chat_id': CHAT_ID, 'caption': '⚠️ Motion Detected on Security Camera!' files = 'photo': photo try: response = requests.post(url, data=payload, files=files) print("Telegram Alert Sent:", response.json()) except Exception as e: print("Failed to send alert:", e) # Initialize video capture cap = cv2.VideoCapture(RTSP_URL) ret, frame1 = cap.read() ret, frame2 = cap.read() while cap.isOpened(): if not ret: break # Calculate difference between consecutive frames (Motion Detection) 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: # Sensitivity threshold continue # Motion triggered img_name = "motion_alert.jpg" cv2.imwrite(img_name, frame2) print("Motion detected! Processing upload...") send_telegram_photo(img_name) # Cool-down period to prevent spamming your chat (e.g., 30 seconds) time.sleep(30) break frame1 = frame2 ret, frame2 = cap.read() cap.release() cv2.destroyAllWindows() Use code with caution. Step 4: Streamlining via QR Code Integration ip camera qr telegram full

By following this guide, you can establish a robust, fast-acting surveillance system that brings peace of mind directly to your Telegram chat. Generate a QR code that, when scanned by

def motion_detection_loop(): # Simplified motion detection cap = cv2.VideoCapture(RTSP_URL) ret, frame1 = cap.read() while True: ret, frame2 = cap.read() diff = cv2.absdiff(frame1, frame2) if diff.sum() > 5000: # Motion threshold cv2.imwrite("alert.jpg", frame2) bot.send_photo(chat_id=CHAT_ID, photo=open('alert.jpg', 'rb'), caption="🚨 Motion Detected!") frame1 = frame2 Generate a QR code that