Paper Title

Attendance Monitoring Using Face Recognition

Article Identifiers

Registration ID: IJNRD_194923

Published ID: IJNRD2305406

DOI: Click Here to Get

Authors

Dr.Kalpana S , Godwin Bright M , Raju Kumar R , Swarna Preetha R

Keywords

Face Recognition, Deep Learning, Face Detection, CNN

Abstract

In a changing environment, automatic facial recognition technology has advanced significantly. Smart Attendance with Real Time Face Recognition is a practical solution that helps with managing the student attendance system on a daily basis. The technique of recognizing a student's face for collecting attendance using facial biometrics based on high-definition monitor footage and other information technology is known as a face recognition-based attendance system. In the face recognition project, a computer system will be able to quickly and accurately locate and identify human faces in pictures or videos being recorded by a security camera. The current issue with attendance tracking is that if the image that was collected doesn't match the student's face in the database, it is stored as a new image. In order to address the drawbacks of the proposed system, the student's face must be captured in a way that allows all of the student's facial features to be detected, as well as the student's seating and posture. Many algorithms and methods have been created to enhance facial recognition ability, however deep learning is the idea that will be used in this case.

How To Cite

"Attendance Monitoring Using Face Recognition", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e52-e57, May-2023, Available :https://ijnrd.org/papers/IJNRD2305406.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : e52-e57

Other Publication Details

Paper Reg. ID: IJNRD_194923

Published Paper Id: IJNRD2305406

Downloads: 000121182

Research Area: Engineering

Country: Theethipalayam , coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305406.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305406

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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