Attendance Capture System Using Face Recognition

Attendance Capture System Using Face Recognition is a application implemented using Python, OpenCV, Pandas, Pillow, PySimpleGUI that works like an application that records attendace using Face Recognition.

Video Link for the Project

The project walkthrough can be viewed HERE

Description

The main objective of this project is to offer system that simplify and automate the process of recording and tracking students’ attendance through face recognition technology. It is biometric technology to identify or verify a person from a digital image or surveillance video.

Automatically attendance system based on face recognized and also decreases manual work.

Automatic Attendance System Using Face Recognition for lecturers or staffs, implemented the attendance system. In this system, they use the algorithm of face recognition and attendance marking are developed and used.

This system captures two images of a student at two pints in time using a digital camera; one is from the start time of the class and other one is in the end time of the class. Both images will process by this system and will make important role to recognize student using facial recognition. If the student recognized both in the start time and end time classes attendance will be marked for that student.

Code Description

‘Mark Attendance’ button:
Teacher/Administrator starts the process by pressing the ‘Mark Attendance’ button and entering the lecture/meeting duration. Camera gives image/video as input to the model Model uses face recognition algorithm to recognise the person. If person is recognised and fulfils the required parameters then person gets the option to clock in or clock out. Each person is clocked in or out based on their choice and a record is kept of total time for which they were present. When Teacher presses the ‘Save Attendance’ button, attendance report is generated and saved.

‘Add Person’ button:
Teacher/Administrator starts the process by pressing the ‘Add Person’ button. Teacher/Administrator enters the ID and Name for the new person. Camera captures 100 pictures of the person in real time.

‘Train Images’ button:
Teacher/Administrator starts the process by pressing the ‘Train Images’ button. Training of the model is done with the new database.

‘View Attendance’ button:
Teacher/Administrator starts the process by pressing the ‘View Attendance’ button. Teacher/Administrator is taken to the directory where all the attendance reports are saved Teacher/Administrator can view attendance report by clicking ‘Open’ button. Teacher/Administrator can get back to home by clicking ‘Back’ button.

‘Quit’ button:
Teacher/Administrator starts the process by pressing the ‘Quit’ button. Window is closed.

System Requirements

Functional Requirements:

• Taking and tracking student attendance by facial recognition in specific time.
• Making a excel file marking the attendance of lecture
• Permitting the lecturer to modify student absent or late
• Determining attendance by the duration the student attended the lecture

User Requirements:

• Device supporting Windows 7 or higher
• High resolution camera and screen

Environmental Requirements:

• The program should be secure to any unauthorized changes
• Enough storage should be provided for it function properly
• The model should be accurate and identify with great precision
  
  

Technologies Used

Language -

• Python 3.9

Module Used -

• OpenCV Contrib 4.0.1
• Pillow
• Numpy
• Pandas
• CSV
• PySimpleGUI

Face Recognition Algorithms -

• Haar Cascade
• LBPH (Local Binary Pattern Histogram)

Software Used -

• Pycharm
• VS Code
  
  

Software Architecture

Functionalities

Home page

Lecture duration popup

Taking Attendance Page

Entering new Student data popup

Taking face images of new student

Training the model using all images

Viewing csv attendance

Requirements

Use the package manager pip

pip install -r requirements.txt

Running the Project

python -m venv env
.\env\Scripts\activate
pip install -r requirements.txt
py main.py

References

• https://www.ukessays.com/essays/education/recognition-attendance-system-6424.php
• https://pypi.org/project/face-recognition/
• https://pypi.org/project/opencv-python/
• https://www.youtube.com/watch?v=sz25xxF_AVE
• https://analyticsindiamag.com/a-complete-guide-on-building-a-face-attendance-system/
• https://docs.python.org/3/library/datetime.html
• https://github.com/opencv/opencv/tree/master/data/haarcascades
• https://docs.opencv.org/3.4/db/d28/tutorial_cascade_classifier.html
• https://www.geeksforgeeks.org/python-haar-cascades-for-object-detection/
  
  

License

© Abhinav Mathur (ELLIPSIS)

Licensed under MIT License.