Face Recognition Attandance System

This project uses FastAPI to deploy an attendance system integrated with face recognition. It captures live video from a webcam, detects faces, matches them with a pre-defined list of known faces, and marks attendance accordingly.

Features

• Live Face Recognition: Captures video and recognizes faces in real-time.
• Attendance Marking: Logs attendance with timestamps when a face is recognized.
• Image Upload: Allows uploading new face images to be added to the system.
• Web Interface: Provides a web interface for viewing attendance and controlling video feed.

Requirements

• Python 3.8+
• FastAPI
• OpenCV
• face_recognition library
• Jinja2 for templating

Installation

1. Clone the repository:

   git clone https://github.com/alihassanml/Face-Recognition-Attandance-System.git
   cd Attandance-System-Face-Recognition

2. Install the dependencies:

   pip install fastapi[all] opencv-python face_recognition

Usage

1. Start the FastAPI server:

   uvicorn main:app --reload

2. Navigate to the web interface: Open your browser and go to http://localhost:8000/.

3. Upload Images: Use the /upload_image endpoint to upload face images.

4. Start/Stop Video Feed:

   • Start video feed: http://localhost:8000/start_video
   • Stop video feed: http://localhost:8000/stop_video

5. View Attendance: The attendance records can be viewed at the root endpoint: http://localhost:8000/.

Code Structure

• main.py: Contains the FastAPI application and the core logic for face recognition and attendance marking.
• templates/: Directory for HTML templates.
• static/: Directory for static files like CSS and JavaScript.
• images/: Directory for storing uploaded face images.
• Attendance.txt: File where attendance records are saved.

License

This project is licensed under the MIT License - see the LICENSE file for details.