Face recognition and RFID verified attendance system

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorAkbar, Md. Sajid
dc.contributor.authorSarker, Pronob
dc.contributor.authorMansoor, Ahmad Tamim
dc.contributor.authorAl Ashray, Abu Musa
dc.contributor.authorUddin, Jia
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2026-09-15T04:10:38Z
dc.date.available2026-09-15T04:10:38Z
dc.date.issued2018-07-02
dc.description.abstractProper attendance management is crucial for the academic institutions to disseminate and ensure quality education to every student. This paper presents a model of an automated attendance system to alleviate the manual effort of recording data eliminating the chances of fraudulency. The model focuses on how face recognition incorporated with Radio Frequency Identification (RFID) detect the authorized students and counts as they get in and get out form the class room. Smart Attendance System keeps the authentic record of every registered student and eradicates greatly the traditional tedious task. Moreover, this smart system keeps the data of every student registered for a particular course in the attendance log and provides necessary information according to the need. By recognizing the face of the individual and verified by RFID simultaneously in our project, the limitations in the existing manual attendance system are mostly eliminated. Another added feature to the project is that we are saving energy by implementing a system using IR modules where the room's electronics only turn on when there are people inside.
dc.description.versionPublished
dc.format.extent5 Pages
dc.identifier.citationM. S. Akbar, P. Sarker, A. T. Mansoor, A. M. Al Ashray and J. Uddin, "Face Recognition and RFID Verified Attendance System," 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE), Southend, UK, 2018, pp. 168-172, doi: 10.1109/iCCECOME.2018.8658705.
dc.identifier.doi10.1109/iCCECOME.2018.8658705
dc.identifier.issn9781538649046
dc.identifier.other2-s2.0-85063545244
dc.identifier.urihttps://hdl.handle.net/10361/29927
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/iCCECOME.2018.8658705
dc.relation.ispartofProceedings 2018 International Conference on Computing Electronics and Communications Engineering Iccece 2018
dc.relation.ispartofseriesProceedings 2018 International Conference on Computing Electronics and Communications Engineering Iccece 2018
dc.relation.urihttps://ieeexplore.ieee.org/document/8658705
dc.subjectFace recognition
dc.subjectLiquid crystal displays
dc.subjectRFID tags
dc.subjectImage processing
dc.subjectOpenCV
dc.subjectFacial recognition
dc.subjectRFID tags
dc.subjectRFID readers
dc.subjectArduino project
dc.subjectIR module
dc.subjectClass attendance
dc.subjectSmart classroom
dc.subject.lcshHuman face recognition (Computer science).
dc.subject.lcshSchool attendance.
dc.titleFace recognition and RFID verified attendance system
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id57207991538
person.identifier.scopus-author-id57207980800
person.identifier.scopus-author-id57193572821
person.identifier.scopus-author-id57207995149
person.identifier.scopus-author-id54994936900

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