ahmad0303/Face-Recognition-System

Face Recognition System

This repository contains code for a face recognition system implemented using Python and various libraries such as OpenCV, face_recognition, cvzone, firebase_admin, and dotenv.

Installation

To run this project locally, follow these steps:

1. Clone the repository to your local machine using the following command:

   git clone https://github.com/ahmad0303/face-recognition-system.git

2. Navigate to the project directory:

   cd face-recognition-system

3. Install the required Python packages using pip:

   pip install -r requirements.txt

4. Set up the Firebase credentials and environment variables:

   • Create a Firebase project and download the service account key (serviceAccountKey.json).
   • Set the databaseURL and storageBucket environment variables in a .env file.

     databaseURL=your_database_url
     storageBucket=your_storage_bucket
     

5. Run the main Python script:

   python main.py

Usage

This face recognition system performs the following tasks:

1. Face Detection: It captures frames from the webcam and detects faces using the face_recognition library.

2. Face Recognition: It compares the detected faces with pre-encoded faces stored in EncodeFile.p to recognize known faces.

3. Firebase Integration: It integrates with Firebase to fetch student information and update check-in details.

4. Mode Switching: The system switches between different modes (e.g., normal mode, student information mode) based on face detection and recognition results.

File Structure

• face_recognition_system.py: The main Python script that implements the face recognition system.
• EncodeFile.p: Pickle file containing pre-encoded face data.
• serviceAccountKey.json: Firebase service account key for authentication.
• Resources/: Directory containing background images and mode images used in the system.

Acknowledgements

• OpenCV
• face_recognition
• cvzone
• Firebase
• dotenv