A face recognition based attendence system.

Python module providing face recognition functionalities:

• Managing faces photos
• Training models
• Making predictions.

__init__.py contains the face_cascade object, a common resource used in face detection.

trainer.py is responsible of feeding the dataset to different models for training. Three models are available: LBPH, FisherFace and EigenFace.

recognizer.py uses pretrained models to make predictions.

capture.py adds photos to user profile.

• Login
• Homepage: showing last stats of the system
• Add user: to add new faces
• Capture page: to take faces photos from a local or remote device
• Train page: to train models
• Attendence page: shows attendence records
• A RESTful API interface to send attendence records (from the raspberry pi in the prototype device)

Python: > 3.6

Install libraries: pip3 install -r requirements.txt

Initialize the database from django:

• python3 manage.py makemigrations
• python3 manage.py migrate
• python3 manage.py createsuperuser

Start the server: python3 manage.py runserver