UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1907K23


Registration ID:
222869

Page Number

155-158

Share This Article


Jetir RMS

Title

Asistencia – An AI Attendance Marking System

Abstract

Face recognition is an important application of Computer-Vision branch of Machine Learning, owing to a wide range of uses in many fields. Identification of individuals in an organization for the purpose of attendance is one such application of face recognition. Maintenance and monitoring of attendance records plays a vital role in the analysis of performance of any organization. The proposal is to develop an AI Attendance Marking System to automate the traditional way of taking attendance. This system performs the daily activities of attendance marking and analysis with minimal human intervention, thus leading to saving of time in a class and make the attendance marking process much easier.

Key Words

Convolutional Neural Network (CNN), Face recognition, computer vision.

Cite This Article

"Asistencia – An AI Attendance Marking System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.155-158, June 2019, Available :http://www.jetir.org/papers/JETIR1907K23.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Asistencia – An AI Attendance Marking System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp155-158, June 2019, Available at : http://www.jetir.org/papers/JETIR1907K23.pdf

Publication Details

Published Paper ID: JETIR1907K23
Registration ID: 222869
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 155-158
Country: Hyderabad, TELANGANA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002858

Print This Page

Current Call For Paper

Jetir RMS