IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

Article Submitted : 21470

Article Published : 8508

Total Authors : 22383

Total Reviewer : 805

Total Countries : 157

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Automated Attendance Sentinel
Authors Name: M.Shruthi , Mrs. P. Sangeetha , Arya Kodte , V. V. Kartika Tejaswini
Download E-Certificate: Download
Author Reg. ID:
IJRTI_189588
Published Paper Id: IJRTI2404054
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: This paper presents a Flask-based web application that combines attendance management and people counting functionalities using facial recognition and machine learning. The attendance tracking system employs the K-Nearest Neighbors algorithm to recognize faces from a webcam feed, automatically logging attendance data in a CSV file. The people counting component recognizes individuals' heads from video feeds to count the number of people passing through entryways, enabling real-time monitoring for use cases like emergency evacuations and crowd control. The integrated application streamlines attendance tracking, provides a responsive administrator interface, and ensures data persistence through CSV files and serialized facial recognition models. The combination of these techniques in a user-friendly web interface makes this application a powerful tool for educational institutions, organizations, and public facilities.
Keywords: Attendance Management, Facial Recognition, Machine Learning, Flask, Web Application
Cite Article: "Automated Attendance Sentinel", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.379 - 387, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404054.pdf
Downloads: 000205230
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2404054
Registration ID:189588
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 379 - 387
Country: Hyderabad, Telangana, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404054
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404054
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner