This project is a face recognition attendance system using Python, OpenCV, face_recognition, and Firebase. It captures images of students, encodes their faces, stores the encodings and student information in Firebase, and updates attendance records based on real-time face recognition.

• Features
• Prerequisites
• Installation
• Usage
• Code Overview
  • EncodeGernator.py
  • AddDatatoDatabase.py
  • main.py
• Contributing
• License

• Upload student images and encode faces.
• Store face encodings and student information in Firebase.
• Capture real-time webcam feed and recognize faces.
• Retrieve student information and update attendance records in Firebase.
• Display real-time attendance information on screen.

• Python 3.7+
• Anaconda
• Firebase account with Realtime Database and Storage enabled
• OpenCV
• face_recognition library

1. Clone the repository:

   git clone https://github.com/amphitter/face-recognition-attendance.git
   cd face-recognition-attendance

2. Create a new Anaconda environment and activate it:

   conda create -n face_recognition python=3.8
   conda activate face_recognition

3. Install the required packages:

   pip install opencv-python
   pip install face-recognition
   pip install firebase-admin
   pip install numpy
   pip install cvzone

4. Set up Firebase:

   • Download your serviceAccountKey.json from Firebase Console and place it in the project directory.
   • Ensure your Firebase project has a Realtime Database and Storage bucket enabled.

1. Encode Student Images:

   • Place student images in the Images folder. The images should be named with the student ID (e.g., 123456.png).

   • Run EncodeGernator.py to upload images to Firebase Storage and create face encodings:

     python EncodeGernator.py

2. Add Student Data to Database:

   • Modify AddDatatoDatabase.py to include your student data.

   • Run AddDatatoDatabase.py to upload data to Firebase Realtime Database:

     python AddDatatoDatabase.py

3. Run the Face Recognition System:

   • Ensure your webcam is connected.

   • Run main.py to start the face recognition system and update attendance records in real-time:

     python main.py

This script uploads student images to Firebase Storage and encodes faces.

• Initializes Firebase app with credentials.
• Reads images from the Images folder.
• Encodes the faces and saves the encodings to EncodeFile.p using pickle.

This script adds student data to Firebase Realtime Database.

• Initializes Firebase app with credentials.
• Defines student data in a dictionary.
• Uploads the data to the Realtime Database.

This script captures real-time webcam feed and performs face recognition.

• Initializes Firebase app with credentials.
• Loads face encodings from EncodeFile.p.
• Captures frames from the webcam.
• Recognizes faces and retrieves student information from the Realtime Database.
• Updates attendance records and displays student information on the screen.

Contributions are welcome! Please open an issue or submit a pull request for any changes.

This project is licensed under the MIT License.

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