Ip Camera Qr Telegram Full !exclusive! -

BOT_TOKEN = os.getenv('BOT_TOKEN') CHAT_ID = os.getenv('CHAT_ID') TELEGRAM_SEND = f'https://api.telegram.org/botBOT_TOKEN/sendPhoto'

What will host the automation script (Windows, Linux, Raspberry Pi OS)? ip camera qr telegram full

This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. BOT_TOKEN = os

import cv2 import requests import time from datetime import datetime # Configuration variables TOKEN = "YOUR_TELEGRAM_BOT_TOKEN" CHAT_ID = "YOUR_TELEGRAM_CHAT_ID" # Replace with your camera's actual RTSP URL stream RTSP_URL = "rtsp://admin:password@1192.168.1.100:554/stream1" def send_telegram_alert(photo_path, caption_text): """Sends a photo alert with a text caption to the specified Telegram chat.""" url = f"https://telegram.orgTOKEN/sendPhoto" with open(photo_path, 'rb') as photo: files = 'photo': photo data = 'chat_id': CHAT_ID, 'caption': caption_text response = requests.post(url, files=files, data=data) return response.json() def main(): # Initialize video capture from RTSP stream cap = cv2.VideoCapture(RTSP_URL) if not cap.isOpened(): print("Error: Could not connect to the IP camera RTSP stream.") return print("Successfully connected to IP Camera. Monitoring for motion...") # Read initial frames to calibrate motion detection ret, frame1 = cap.read() ret, frame2 = cap.read() last_alert_time = 0 COOLDOWN_PERIOD = 30 # Seconds to wait between sending alerts while cap.isOpened(): if not ret: break # Calculate absolute difference between consecutive frames 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: # Adjust the contour area threshold based on camera environment if cv2.contourArea(contour) < 5000: continue current_time = time.time() if current_time - last_alert_time > COOLDOWN_PERIOD: timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") filename = f"motion_alert_int(current_time).jpg" # Save the frame where substantial motion was detected cv2.imwrite(filename, frame2) print(f"[timestamp] Motion detected! Triggering alert...") # Send to Telegram asynchronously/via request caption = f"⚠️ Motion Alert! \nTime: timestamp\nCamera: Main Entrance" send_telegram_alert(filename, caption) last_alert_time = current_time # Update frame sequence frame1 = frame2 ret, frame2 = cap.read() # Artificial delay to mimic frame rates without overwhelming CPU time.sleep(0.05) cap.release() if __name__ == "__main__": main() Use code with caution. 5. Security and Optimizations If you share with third parties, their policies apply

Use an online tool or Python to generate a QR code containing your setup data formatted as JSON: