Real-Time Student Attendance Management System Project In Python

Real-Time Student Attendance Management System Project In Python

The Student Attendance Management System Project In Python was developed using Python OpenCV in Real-Time, This Attendance Management System Project In Python provide a valuable attendance service for both teachers and students. Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology.

A Attendance Management System Using Face Recognition Python is a simple python script that recognizes faces and mark attendance for the recognized faces in an excel sheet. We seek to provide a valuable attendance service for both teachers and students. Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology.

Watch the video here to see the full running source code of Real Time Student Attendance Management System Project in Python with Source Code

Student Attendance Management System : Features

  • Check Camera
  • Capture Faces
  • Train Faces
  • Recognize Faces & Attendance
  • Automatic Email

Student Attendance Management System : Build With-

  • Python 3.9

Module Used

All The Module are Latest Version.

  • OpenCV Contrib 4.0.1
  • Pillow
  • Numpy
  • Pandas
  • Shutil
  • CSV
  • yagmail

Face Recognition Algorithms

  • Haar Cascade
  • LBPH (Local Binary Pattern Histogram)

This Attendance Management System Using Face Recognition In Python also includes a downloadable Attendance Management System Project In Python With Source Code for free, just find the downloadable source code below and click to start downloading.

By the way if you are new to python programming and you don’t know what would be the the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you. I also have here How to Download and Install Latest Version of Python on Windows.

To start creating a Student Attendance Management System Project In Python, make sure that you have installed Python 3.9 and PyCharm in your computer.

Student Attendance Management System Project In Python : Prerequisites

Before starting with this Python project with source code, you should be familiar with the computer vision library of Python that is OpenCV, Pillow, Pandas, Shutil, CSV and Numpy.

OpenCV, Pillow, Pandas, Shutil, CSV and Numpy are the Python packages that are necessary for this project in Python. To install them, simply run this pip command in your terminal:

  • pip install opencv-python
  • pip install pillow
  • pip install pandas
  • pip install numpy

Student Attendance Management System Project In Python : Steps on how to run the project

Time needed: 5 minutes.

These are the steps on how to run Student Attendance Management System Project In Python

  • Step 1: Download the given source code below.

    First, download the given source code below and unzip the source code.
    student attendance download source code

  • Step 2: Import the project to your PyCharm IDE.

    Next, import the source code you’ve download to your PyCharm IDE.
    student attendance open project

  • Step 3: Install all the packages.

    Next, Install all the requirements required for the system.
    student attendance install requirements

  • Step 4: Run the project.

    last, run the project with the command “py main.py”
    student attendance run project

Student Attendance Management System : Code For check_camera.py

Student Attendance Management System : Code For Capture_Image.py

Student Attendance Management System : Code For Train_Image.py

Student Attendance Management System : Code For automail.py

Student Attendance Management System : Code For Recognize.py

Student Attendance Management System : Code For main.py

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Conclusion

Therefore, for this Project In Python Using OpenCV We seek to provide a valuable attendance service for both teachers and students. Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology.

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