/Attendance-Management-using-Face-Recognition

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Attendance-Management-using-Face-Recognition

Objective

This desktop application aims to simplify the process of Attendance Management of different classes and batches using Face Recognition and user-friendly GUI. The management of data and marking of attendance is carried out in Excel files.

About the Project

This python based app uses OpenCV libraries: face detection using Haar feature-based cascade classifier and face recognition using Local Binary Patterns Histograms (LBPH) and openpyxl library to manage excel sheet through python scripts. GUI features are implemented using tkinter library.

About the app

The app has two main Panels: Students' and Manager's image description Students' panel has one main feature in marking the attendance image description Manager's panel has various features in adding a new class, adding a student to logged-in class and training the recognizer image description image description Captured photo after marking attendance automatically gets added to training data images. If the app somehow fails to recognize a student, the Manager can manually mark a student's attendance in attendance register by looking at the images in unrecognized students directory. Directory Structure: ./extras - contains the attendance register of different classes and the file containing names of all classes ./images - contains the training data images and unrecognized student's directory ./student's list - contains the files containing the information of all students of a class

Setup for the app

Python3 should be installed on the system. Windows users can download from here, Linux users will most probably have python3 already installed or it can be done manually using sudo apt-get install python3.6

Windows users can add python and pip to PATH (Linux users can use sudo apt-get install pip3)

Install Modules

  1. pip install openpyxl
  2. pip install pillow
  3. pip install pyautogui
  4. pip install OpenCV-contrib-python

How to run the app

  • run the Attendance_app.py to launch the software
  • use 'Marauders' as class-code to add classes to the software
  • browse the Manager and Student's Panel using class code of the batch you want to enter with
  • the username is 'ADMIN' and password 'ubuntu'
  • use SPACE to click images wherever needed
  • you can add more images to the training data manually