Facial Recognition Attendance System

Smart attendance system using facial recognition with GUI.

Features

Find faces in video stream

Find all the faces that appear in each frame.

Recognize the faces

Display the name and id of each recognized student in a frame.

Marks attendance on Excel Sheet

Marks the attendances of each student appearing in a frame on excel sheet.

Admin Panel system

Admin can register, unregister and remove students from database.

Search specific attendances

Search specific attendances by date or student id.

Installation

Requirements

• Python 3.3+
• PyCharm

Required modules

csv
shutil
cv2
os
flask
datetime
numpy
sklearn.neighbors
pandas
joblib

Usage

Containing Files & Folders

Missing files and folders will be generated automatically.

• /Attendance - This folder will contain the generated excel sheets of attendances.
• /static/face_recognition_model.pkl - This file will store the trained face recognition model.
• /static/faces - This is the folder where we will keep all the pictures of students.
• /static/resources - This is the folder from where we will use images and icons for our web gui.
• /static/haarcascade_frontalface_default.xml - This is the Haar Cascade face detection algorithm.
• /templates - This folder will contain the html files for our web gui.
• /UserList - This folder will contain the list of registered and unregistered students.
• /app.py - This is our main python program.

How to Run

Just run the app.py file and voila!

Default Username and Password for Admin

Username : admin
Password : 12345

Show Debugger Instead of Error Page

just replace app.run(debug=False) in app.py with app.run(debug=True)