Smart School Attendance System using Face Recognition with Near Optimal Imaging

This work aimed to develop a students' school attendance system with a web application and IoT devices as the two main parts. The web application was designed to manipulate the student data acquisition while IoT was used for face recognition to detect student attendance. This process applied Ha...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings of the ... International Joint Conference on Computer Science and Software Engineering (Online) pp. 1 - 5
Main Authors: Tapyou, Kittipong, Chaisil, Pannawich, Muangprathub, Jirapond
Format: Conference Proceeding
Language:English
Published: IEEE 30.06.2021
Subjects:
Computer science
Data acquisition
EBGM
Face recognition
Haar cascade
Image capture
IoT
Lighting
Time Attendance System
Training
ISSN:2642-6579
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract This work aimed to develop a students' school attendance system with a web application and IoT devices as the two main parts. The web application was designed to manipulate the student data acquisition while IoT was used for face recognition to detect student attendance. This process applied Haar cascade and EBGM approaches to classify and distinguish faces for the web application. The web application was implemented with PHP language and a MySQL database provided for usage by three user groups: teachers, students and staff. The face recognition system was implemented on Raspberry Pi to connect with web application and record the student time attendance data. This work improves the accuracy of face detection by use of physical factors. We found that the current face recognition algorithm is highly efficient if the face position is arranged for clear image capture. Thus, this work also focuses on finding the right position to capture the user's face. The experimental test provided 100% accuracy of student classifier when they stand in a suitable position for imaging. The results show that the suitable position depends on the student face training count. In addition, the distance between camera and standing student affects the accuracy of face recognition.
AbstractList This work aimed to develop a students' school attendance system with a web application and IoT devices as the two main parts. The web application was designed to manipulate the student data acquisition while IoT was used for face recognition to detect student attendance. This process applied Haar cascade and EBGM approaches to classify and distinguish faces for the web application. The web application was implemented with PHP language and a MySQL database provided for usage by three user groups: teachers, students and staff. The face recognition system was implemented on Raspberry Pi to connect with web application and record the student time attendance data. This work improves the accuracy of face detection by use of physical factors. We found that the current face recognition algorithm is highly efficient if the face position is arranged for clear image capture. Thus, this work also focuses on finding the right position to capture the user's face. The experimental test provided 100% accuracy of student classifier when they stand in a suitable position for imaging. The results show that the suitable position depends on the student face training count. In addition, the distance between camera and standing student affects the accuracy of face recognition.
Author Tapyou, Kittipong
Chaisil, Pannawich
Muangprathub, Jirapond
Author_xml – sequence: 1
  givenname: Kittipong
  surname: Tapyou
  fullname: Tapyou, Kittipong
  email: mykittipong2004@gmail.com
  organization: PSU Wittayanusorn Suratthani School,Surat Thani,Thailand,84000
– sequence: 2
  givenname: Pannawich
  surname: Chaisil
  fullname: Chaisil, Pannawich
  email: viwet2546@gmail.com
  organization: PSU Wittayanusorn Suratthani School,Surat Thani,Thailand,84000
– sequence: 3
  givenname: Jirapond
  surname: Muangprathub
  fullname: Muangprathub, Jirapond
  email: jirapond.m@psu.ac.th
  organization: Prince of Songkla University,Faculty of Science and Industrial Technology,Thailand,84000
BookMark eNotkF1LwzAYhaMoOOd-gRfmD3TmzUeTXI6x6WQ4sHo90vRtF1nT0UZk_96CuzpweDg8nHtyE7uIhDwBmwMw-_y2LIqVEgB6zhmHuZVWGCmvyMxqA3mupDAC1DWZ8FzyLFfa3pHZMHwzxgQYa8FOyK5oXZ9o4Q9dd6SLlDBWLnqkxXlI2NKfIcSGrt3YfKDvmhhS6CL9DelA39H1dHdKoXVHumldM6IP5LZ2xwFnl5ySr_Xqc_mabXcvm-VimwXORMqMsVI4hUyC9DWXHpxBkCiVsV6bWglbgizB8NKVOaKuNFZc-1pXBlyFYkoe_3cDIu5P_ejQn_eXC8QfHy9S2A
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/JCSSE53117.2021.9493844
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 9781665438315
1665438312
EISSN 2642-6579
EndPage 5
ExternalDocumentID 9493844
Genre orig-research
GroupedDBID 6IE
6IF
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
OCL
RIE
RIL
ID FETCH-LOGICAL-i203t-88943a5e0414cf24c1a8e14e4589c78f539b14b182bab6ee7d7ed27cf7d81ade3
IEDL.DBID RIE
ISICitedReferencesCount 1
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000941588600036&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Aug 27 02:39:50 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i203t-88943a5e0414cf24c1a8e14e4589c78f539b14b182bab6ee7d7ed27cf7d81ade3
PageCount 5
ParticipantIDs ieee_primary_9493844
PublicationCentury 2000
PublicationDate 2021-June-30
PublicationDateYYYYMMDD 2021-06-30
PublicationDate_xml – month: 06
  year: 2021
  text: 2021-June-30
  day: 30
PublicationDecade 2020
PublicationTitle Proceedings of the ... International Joint Conference on Computer Science and Software Engineering (Online)
PublicationTitleAbbrev JCSSE
PublicationYear 2021
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003189919
Score 1.7698256
Snippet This work aimed to develop a students' school attendance system with a web application and IoT devices as the two main parts. The web application was designed...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Computer science
Data acquisition
EBGM
Face recognition
Haar cascade
Image capture
IoT
Lighting
Time Attendance System
Training
Title Smart School Attendance System using Face Recognition with Near Optimal Imaging
URI https://ieeexplore.ieee.org/document/9493844
WOSCitedRecordID wos000941588600036&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFH4B4sETKhh_pwePDtqtW9ujIRA1Boio4Uba7c2QuGFw-PfbbgNj4sVb161d0ve6tm_f-z6A6ySUcSCp9kwYRh5nxniGJ8JemihSgnIsdcheH8V4LOdzNW3AzS4XBhFL8Bn2XLH8l5-s4o0LlfUVV4HkvAlNIaIqV2sXT7G-abc6qoZwMar6D4PZbGhdjAl7DPRZr279S0alXEVG7f-9_wC6P-l4ZLpbaA6hgfkRtLd6DKSenh2YzDLrCKQi1iS3hQtvO6OSipacOIz7GxlpW_O0xQ2tcuJCsWRsPZ5M7Pcj0-_kPiu1i7rwMho-D-68WjDBW_o0KDzpyNR1iJQzHqc-j5mWyDjyUKpYyDQMlGHc2COF0SZCFInAxHfERIlkOsHgGFr5KscTIKkvZEjtHSVTnmo7yzGKtO0_pfZZjqfQceOz-Kg4MRb10Jz9XX0O-84EFc7uAlrFeoOXsBd_FcvP9VVpyG_vjJ8Y
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG4QTfSECsbf9uDRwbq1a3s0BAKKgwgabqTd3gyJDIPDv992GxgTL966bm2Wvte1ffve9yF0GzMR-cJVjmYscCjR2tE05uZSB4HkLoVch-x1wMNQTKdyVEF321wYAMjBZ9C0xfxffryM1jZU1pJU-oLSHbTLKPXcIltrG1Ex3mk2O7IEcRFXth7a43HHOBnh5iDokWbZ_peQSr6OdGv_e4ND1PhJyMOj7VJzhCqQHqPaRpEBlxO0jobjhXEFXFBr4vvMBritWXFBTI4tyv0Nd5Wped4gh5YptsFYHBqfx0PzBVmod9xf5OpFDfTS7UzaPaeUTHDmnutnjrB06oqBSwmNEo9GRAkgFCgTMuIiYb7UhGpzqNBKBwA85hB7lpooFkTF4J-garpM4RThxOOCueaOFAlNlJnnEATK9J-45lkKZ6hux2f2UbBizMqhOf-7-gbt9yZPg9mgHz5eoANrjgJ1d4mq2WoNV2gv-srmn6vr3KjfZSSiXw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=Proceedings+of+the+...+International+Joint+Conference+on+Computer+Science+and+Software+Engineering+%28Online%29&rft.atitle=Smart+School+Attendance+System+using+Face+Recognition+with+Near+Optimal+Imaging&rft.au=Tapyou%2C+Kittipong&rft.au=Chaisil%2C+Pannawich&rft.au=Muangprathub%2C+Jirapond&rft.date=2021-06-30&rft.pub=IEEE&rft.eissn=2642-6579&rft.spage=1&rft.epage=5&rft_id=info:doi/10.1109%2FJCSSE53117.2021.9493844&rft.externalDocID=9493844