beriamegha8 / DoorAutomation

Designed and implemented a Face Recognition Door Access Control System, integrating various technologies to enhance security and access control.

Face Recognition Door Access Control System

This project implements a face recognition-based door access control system using Python, OpenCV, Telegram Bot, and Arduino.

Overview

The system captures video frames from a camera, performs face detection using OpenCV's Haar Cascade Classifier, and sends the detected face image to a Telegram bot. The Telegram bot then prompts the user for access approval, and based on the response, it sends a command to an Arduino to either open or keep the door closed.

Requirements

• Python 3.x
• OpenCV
• telepot (Telegram Bot API wrapper)
• pyserial (Python Serial Library)
• Arduino with appropriate firmware
• Telegram Bot (Bot Token and Chat ID required)

Setup

1. Install the required Python packages:

   pip install opencv-python telepot pyserial python-dotenv
   

2. Connect the Arduino to the system and update the serial port in the Python script.

3. Create a .env file in the project root with the following content:

   BOT_TOKEN=your_telegram_bot_token CHAT_ID=your_chat_id

4. Run the Python script: python face_recognition.py

Project Structure

face_recognition.py: Main Python script for face detection and interaction with Telegram Bot and Arduino. haarcascade_frontalface_default.xml: Haar Cascade Classifier for face detection. face_detected.jpg: Image file saved when a face is detected.

Usage

Run the Python script. The camera captures frames and detects faces. Detected faces are sent to a Telegram bot. The Telegram bot prompts for access approval. Based on the response, the Arduino is commanded to open or close the door.

License

This project is closed to contributions. All rights reserved.