Face Recognition Attendance System 📸

This project implements an innovative face recognition-based attendance system using a webcam to capture and recognize faces in real-time. The system compares the captured faces with known faces and logs the attendance details (name and timestamp) into a CSV file.

✨ Features

• Real-time Face Detection and Recognition: Captures video frames from a webcam and identifies faces in real-time.
• Attendance Logging: Logs the attendance details (name and timestamp) into a CSV file.
• Customizable Known Faces: Easily add and manage known faces for recognition.
• Visual Feedback: Displays a rectangle and name label around recognized faces in the video feed.

🛠️ Requirements

• Python 3.6+ 🐍
• OpenCV 📸
• face_recognition 👤
• numpy 🧮

🚀 Installation

1. Clone the Repository

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

2. Install the Required Packages

   pip install opencv-python face_recognition numpy
   

3. Prepare Known Face Images
   • Place your known face images in the photos directory.
   • Ensure the images are named appropriately (e.g., john_doe.jpg).
4. Run the Application

   python main.py
   

📋 Usage

Upon running the application, the webcam feed will be displayed. The system will detect and recognize faces in real-time. If a face is recognized, the name will be displayed on the video feed, and the attendance details will be logged into a CSV file named attendance.csv.

🤝 Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to improve the project.

📄 License

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

🙏 Acknowledgments

• Special thanks to the contributors of the face_recognition library.
• Inspiration and guidance from the open-source community.