UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 11
November-2022
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:
JETIR2211591


Registration ID:
505328

Page Number

f701-f704

Share This Article


Jetir RMS

Title

AUTOMATED ATTENDANCE CAPTURING USING FACE RECOGNITION TECHNIQUES

Abstract

Automatic face recognition (AFR) technologies have made many improvements in the changing world. Smart Attendance using Real- Time Face Recognition is a real-world solution which comes with day to day activities of handling student attendance system. Face recognition-based attendance system is a process of recognizing the students face for taking attendance by using face biometrics based on high - definition monitor video and other information technology. In my face recognition project, a computer system will be able to find and recognize human faces fast and precisely in images or videos that are being captured through a surveillance camera. Numerous algorithms and techniques have been developed for improving the performance of face recognition but the concept to be implemented here is Deep Learning. It helps in conversion of the frames of the video into images so that the face of the student can be easily recognized for their attendance so that the attendance database can be easily reflected automatically.

Key Words

Automated attendance, face recognition ,RFID ,NumPy, open CV

Cite This Article

"AUTOMATED ATTENDANCE CAPTURING USING FACE RECOGNITION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.f701-f704, November-2022, Available :http://www.jetir.org/papers/JETIR2211591.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

"AUTOMATED ATTENDANCE CAPTURING USING FACE RECOGNITION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppf701-f704, November-2022, Available at : http://www.jetir.org/papers/JETIR2211591.pdf

Publication Details

Published Paper ID: JETIR2211591
Registration ID: 505328
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.32270
Page No: f701-f704
Country: GUNTUR, ANDHRA PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000244

Print This Page

Current Call For Paper

Jetir RMS