Real-time Multi-Face Recognition Attendance System

A Python-based attendance system that uses OpenCV for real-time face recognition to mark attendance. This project is designed to streamline attendance tracking in organizations or institutions. This is a real-time multiple face recognition attendance system. The database of this project can contain information about student/person's information. One can train the model by taking the photo samples and model is able to recognize it.

Features

• Real-time face recognition using a webcam or CCTV feed.

• Captures and stores face samples for training.

• Generates attendance logs for recognized individuals.

• User-friendly interface using Tkinter.

• Secure and efficient attendance tracking.

  Technologies Used

• Python: For the core application logic.

• OpenCV: For face detection and recognition.

• Tkinter: For creating the GUI interface.

• CSV: For storing attendance records.

• NumPy: For array handling in image processing.

Installation and Setup

1. Clone the repository:

   git clone https://github.com/your-username/face-recognition-attendance-system.git
   cd face-recognition-attendance-system

2. Install the required dependencies:

  pip install -r requirements.txt

3. Run the Application:

 python main.py

Screenshots:

1. main.py
2. student.py
3. face_recognition.py