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
Adjust the contour threshold area in your Python code (increase the value from 5000 to 10000 or higher to only track large objects like humans or cars).
Many channels offer a "VIP" or "Premium" tier where users pay to unlock collections of higher-quality or more sensitive camera feeds. Technical Context ip camera qr telegram full
This post explains how to connect an IP camera to Telegram using a QR-based setup flow, so you can receive snapshots, alerts, or live links in a Telegram chat. It covers assumptions, required components, QR provisioning, a lightweight server approach, Telegram bot integration, security notes, and troubleshooting.
This guide covers how to leverage these mechanisms to build an automated surveillance pipeline. Step 1: Provisioning Your IP Camera via QR Code import cv2 import requests import time import os
Upon first boot, the ESP32-CAM spins up its own temporary Wi-Fi Access Point (AP).
sudo systemctl enable camera_security.service sudo systemctl start camera_security.service Use code with caution. 3. Debugging Video Lag or Dropped Feeds sudo systemctl enable camera_security
By following this guide, you can establish a robust, fast-acting surveillance system that brings peace of mind directly to your Telegram chat.
This guide provides a comprehensive, step-by-step walkthrough to configure an IP camera, generate a QR code for rapid provisioning, and connect it to a fully automated Telegram alert system. 1. Prerequisites and System Requirements