Manuscript Number : SHISRRJ24728

Smart Attendance System

Authors(2) :-K. Madhusudan Reddy, Y. Chandrakanth

A computer program called Face Recognition can recognize and authenticate human faces in an image captured with a digital camera. In a real-world setting, face recognition can be used to practically create an automated attendance management system. Varying lighting condition, noise in face images, scale and pose are the issues and variations in human facial appearance. The process of facial recognition involves analysing a captured face's primary traits and contrasting them with features from other faces that have been saved in a database. The programming language used to build the smart attendance system is machine learning with python. The smart attendance system has gained significant attention in recent years due to its potential applications in various domains. This project focuses on implementing face recognition for attendance management. Smart attendance system will use facial features such as to identify individuals and automate the attendance recording process.

Authors and Affiliations

K. Madhusudan Reddy
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Y. Chandrakanth
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

Face Recognition, Digital Camera, Automatic Attendance Management System, Lighting Conditions, Facial Noise, Scale and Pose Variation, Machine Learning, Python Programming Language, NumPy, PIL (Python Imaging Library)

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Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 50-56
Manuscript Number : SHISRRJ24728
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

K. Madhusudan Reddy, Y. Chandrakanth, "Smart Attendance System", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.50-56, March-April.2024
URL : https://shisrrj.com/SHISRRJ24728

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