async def handle_qr_image(update: Update, context: ContextTypes.DEFAULT_TYPE): photo_file = await update.message.photo[-1].get_file() # decode QR from photo (use pyzbar or OpenCV) decoded_data = decode_qr_from_image(photo_file) if decoded_data: # Store mapping: chat_id -> camera_url store_camera_link(update.effective_chat.id, decoded_data) await update.message.reply_text("✅ Camera linked! Send /snap for a hot image.")
For the technically inclined, this system can be supercharged with automation and artificial intelligence, turning a simple camera into a "smart detector."
If you tell me what kind of camera you have (e.g., Wyze, Reolink, Ring), I can offer more tailored advice, such as: Specific bot names to search for. ip camera qr telegram hot
View your camera feed from any smartphone, tablet, or desktop running the Telegram app. 2. Prerequisites for the Setup
Get push notifications with live images or video clips the moment motion is detected. Python is the most efficient language for this task
You will need a lightweight script running on a local device, such as a Raspberry Pi, an old laptop, or a home server. Python is the most efficient language for this task.
To easily add new users or mobile devices to your system, encode your bot's deep-link into a QR code. Use a URL format like: https://t.me such as a Raspberry Pi
Most modern IP cameras (ESP32-CAM, Xiaomi, Tapo, or generic ONVIF cameras) now support through third-party bridges or firmware like "Telegram Cam" or "Esp32Cam Telegram."