Hands-free Attendance System

A friendly and robust system for attendance tracking and absence management. It allows students to streamline leave management, automate time-off balance calculations, and simplify work planning.

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Hands-free Attendance System

EVG IDs:

  1. Vinit Agarwal: 22EVGVZR226433
  2. Achyut Vardhan: 22EVGEVV570567
  3. Anupam Moharana: 22EVG2YZ480746
  4. Saptarshee Mitra: 22EVGPKB426094 (Leader)

For better readme view please open our github repo

App picture

Description :point_left:

This system was created to provide a simple and secure method of recording attendance. The software initially takes a picture of all of the authorised people and stores it in a database. The image is then stored by mapping it into a face coordinate structure by the system. Whenever a registered person enters the premises, the system recognises him and records his time and attendance.

Credentials for frontend login page

Username: admin Password: admin

Prerequisites

Installing python packages:

  1. Open the Terminal (Linux & MacOS) or PowerShell (Windows)
  2. Type "pip install numpy" after it gets installed.
  3. Type "pip install opencv-python" after it gets installed.
  4. Type "pip install requests" after it gets installed. #### Installing Face_Recognition module
  5. Type "pip install cmake" after it gets installed.
  6. Type "pip install dlib" after it gets installed.
  7. Type "pip install face_recognition" after it gets installed.
  8. Now if all the modules got installed correctly attendance.py should run correctly.

Installing packages:

  1. Download the repository git clone https://github.com/saptarsheemitra/Envisage22.git
  2. Open the Terminal (Linux & MacOS) or PowerShell (Windows) and change directory to the project folder.
  3. Type ‘npm install’ in the Terminal (PowerShell) and press Enter. All the dependencies would be installed.
  4. Now make sure you are in backend folder. To open the application, type ‘npm run server’ and press Enter in the terminal.
  5. The application should be live on the local port 8080.
  6. Now go to face recognition folder and open attendance.py. #### **If all the packages got installed currectly the program should run without any problem.

How to use it :book:

Node Server

Open terminal in VS Code then type "npm run server". This should start your node server if you have installed all the packages

NodeServer

Face Detection working

Open Face Recognition folder then open attendance.py and run the file.

Face Detection

How to add new students

To add a new student copy the picture of the student into the image folder with this convention "Roll_Name_branch.jpg"

Add Student

How to access frontend

Open Frontend folder then oprn index.html. Now a login page should popup.

Frontend files

Login Page

Username: admin Password: admin Now enter Username & Password to proceed to the attendace details.

Login page

Student Attendance Details page

Now to view student attendance details select a valid date and press filter.

Attendance Details

Technologies Used

Backend

Backend Stack

Frontend

Frontend Stack

Database

Database

Training models

models

License

You must not reproduce and distribute copies of the work or derivative works thereof in any medium, with or without modifications, and in Source or Object form.

Team Members

  1. Saptarshee Mitra: saptarshee08@gmail.com
  2. Anupam Moharana: anupam205@outlook.com
  3. Vinit Agarwal: vinitagarwal.garg@gmail.com
  4. Achyut Vardhan: achyutvardhan234@gmail.com

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