Real-Time Face Attendance System

This project is a Real-Time Face Attendance System that uses computer vision and face recognition technology to automate attendance tracking. The system captures video from a webcam, detects faces, and marks attendance based on recognized individuals. It utilizes Firebase for storing user data and attendance records.

Table of Contents

• Features
• Technologies Used
• Setup Instructions
• Usage
• Code Structure
• Firebase Configuration
• Contributing
• License

Features

• Real-time face detection and recognition.
• Attendance tracking with automatic updates in Firebase.
• Displays student information such as name, major, and total attendance.
• Supports adding new students to the Firebase database.

Technologies Used

• Python
• OpenCV
• Face Recognition
• Firebase Admin SDK
• NumPy
• CVZone
• Pickle

Setup Instructions

1. Clone the repository:

   git clone https://github.com/yourusername/your-repo-name.git
   cd your-repo-name

2. Install the required packages: Ensure you have Python installed. You can create a virtual environment and install the required libraries:

    pip install opencv-python face_recognition firebase-admin numpy

3. Firebase Configuration:

• Create a Firebase project.
• Download the service account key (JSON file) and place it in the project directory. Rename it to serviceAccountKey.json.
• Set up a Realtime Database and Storage bucket in your Firebase project.

4. Prepare Images:

Place student images in a folder named images in the project directory. Ensure the images are named with the corresponding student IDs (e.g., 518468.png).

5. Add Student Data:

• Modify the addDataToDatabase.py file to include student details.
• Run addDataToDatabase.py to upload student information to Firebase.

Usage :

1. Generate Face Encodings: Run EncodeGenerator.py to encode the student images and create the encoding file (encodeFile.p).

    python EncodeGenerator.py
   

2. Run the Main Application:

    python main.py

The application will open a window displaying the webcam feed and attendance interface.

3. Attendance Process:

• As students enter the frame, their faces will be detected and matched against the database.
• When a match is found, the system will update the attendance record in Firebase and display the corresponding student information on the screen.

Code Structure :

  .
  ├── images                   # Directory for student images
  ├── resources                # Directory for background and mode images
  │   ├── background.png
  │   └── Modes               # Directory for mode images
  ├── EncodeGenerator.py       # Script to encode student images
  ├── main.py                  # Main attendance system script
  ├── addDataToDatabase.py     # Script to add student data to Firebase
  └── serviceAccountKey.json    # Firebase service account key

Firebase Configuration :

Make sure to set the following rules in your Firebase Realtime Database for testing purposes:

      {
        "rules": {
          ".read": "auth != null",
          ".write": "auth != null"
        }
      }