This Face Recognition Attendance System is designed to automate attendance tracking using facial recognition technology. The system captures the face of students, recognizes them, updates their attendance in the database, and provides an admin dashboard built with Django for monitoring and managing student attendance.
- Python 3.8.18
- Conda (for Python version management)
Install Python 3.8.18 using Conda:
conda install python=3.8.18pip install -r requirements.txt
Configure the database settings in the Django project’s settings.py file.
Run the Django migrations to set up the database:
python manage.py migrate
python manage.py runserver
To Access the admin dashboard at http://localhost:8000/dashboard and log in with your credentials.you need to migrate and create a superuser in django
python manage.py createsuperuser
Add students, view their attendance, and manage the attendance records through the intuitive web interface.
The face recognition module uses state-of-the-art algorithms to recognize and match faces. It uses OpenVino three models face-detection,landmarks-detection and face-recognition to recognise the face in video feed. Ensure proper lighting conditions for accurate recognition.
Make sure to handle database connection settings securely.
It is recommended to deploy this system in a secure environment to protect sensitive data.
This system can be extended to include additional features such as notifications, reporting, and more.
Disclaimer: This system is intended for educational purposes. Always comply with privacy and legal regulations when implementing facial recognition systems.