ATTENDANCE SYSTEM USING VIDEOBASED FACE RECOGNITION

ATTENDANCE SYSTEM USING VIDEOBASED FACE RECOGNITION

Registration ID: IJNRD_191638

Published ID: IJNRD2305208

DOI: Click Here to Get

Narendra Kumar Machanuru , Lohith Kukkadapu , Nikhil kura

LBPH, Haar Cascade, Attendance, Face recognition, Database

—The main aim of this project is to create a new attendance system for educational institutions, which will rely on facial recognition technology. The objective is to upgrade the current attendance system and make it more efficient and effective than it currently is. The current system is outdated and unclear, leading to inaccurate and inefficient attendance tracking. When the authorities cannot enforce the rules that are existing under the previous system, several complications develop. The face recognition system will be the technology at work. A person's face is a distinctive feature that can be used to identify them. Since faces are unique and cannot be easily duplicated, they are commonly used for identification purposes. In this project, face databases will be created to provide data for the recognition algorithm. During attendance recording, the faces of individuals will be compared against the database in an attempt to identify them. If a match is found, the individual's attendance will be automatically recorded, and the necessary information will be added to an Excel spreadsheet. Tracking student attendance in virtual educational institutions is a difficult task, particularly when done manually, as it consumes a lot of time and effort. Furthermore, due to the absence of a reliable attendance system, false attendance is common. Since a person's face is the most distinguishing characteristic, this paper discusses the innovation of a real-time attendance system based on face detection using the frontal face recognition approach. The paper also outlines a powerful algorithm that uses Haar cascade and an open-source image processing framework called OpenCV.

Published Paper   E-Certificate

"ATTENDANCE SYSTEM USING VIDEOBASED FACE RECOGNITION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c51-c56, May-2023, Available :https://ijnrd.org/papers/IJNRD2305208.pdf

Volume 8 Issue 5, May-2023

Pages : c51-c56

Paper Reg. ID: IJNRD_191638

Published Paper Id: IJNRD2305208

Downloads: 000121172

Research Area: Computer Science & Technology 

Country: HYDERABAD, TELANGANA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305208.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305208

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area