Real-Time Student Attendance Management System In Python

The Real-Time Student Attendance Management System Project in Python is a deep learning application that is designed for daily attendance, working hours, breaks, login, and logout times are all tracked by the attendance management system.

What is a real-time student attendance management system?

In Python, a real-time student attendance management system is one of the best program designs for schools which has the ability to detect students using only the webcam and the system can easily identify the students based on their facial recognition.

In addition, It also prohibits employees from stealing time. All attendance devices, such as smart cards, biometrics, and facial recognition devices, are integrated into an attendance management system in real-time.

Importance of Real-Time Student Attendance Management System

Using an attendance management system allows teachers to track each student’s exact arrival time and automatically notify parents if a kid is absent. Teachers can also track attendance in their classes, report absences, and send SMS and email notifications to parents about their children’s absences.

Beneficiaries of Real-Time Student Attendance Management System

• Schools
• Companies

Real-Time Student Attendance Management System: Project Details and Technology

Real-Time Student Attendance Management System Project In Python: About the project

This Student Attendance Management System Project in Python was created in real-time using Python OpenCV.

This Attendance Management System Project is useful for both teachers and students.

Reduce manual process errors by using facial recognition technology to deliver an automated and dependable attendance system.

A Face Recognition Python Attendance Management System is a simple Python script that detects faces and records attendance for those faces in an Excel sheet.

We want to serve both teachers and students with a meaningful attendance service.

Reduce manual process errors by using facial recognition technology to deliver an automated and dependable attendance system.

Student Attendance Management System Project: Major functionalities/features

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)

Student Attendance Management System Project : Prerequisites

Before starting with this Python project with source code, you should be familiar with the computer vision library of Python which 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

This Real-Time Student Attendance Management System also includes a downloadable Project 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 have any idea what Python IDE is, I have here a list of Best Python IDE for Windows, Linux, Mac OS for you. Additionally, I also have here How to Download and Install Latest Version of Python on Windows.

To start executing a Real-Time Student Attendance Management System Project In Python OpenCV With Source Code, make sure that you have installed Python on your computer.

Real-Time Student Attendance Management System Project In Python OpenCV With Source Code: Steps on how to run the project

Download the Source Code below

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 providing an automated and reliable attendance system using face recognition technology.

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Inquiries

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