A Vision Based Three-Layer Access Management System with IoT Integration

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dc.contributor.authorHossain, Nafize Ishtiaque
dc.contributor.authorGalib, Ali Reza
dc.contributor.authorMofidul, Raihan Bin
dc.contributor.authorSarker, Dhiman Kumar
dc.date.accessioned2026-07-06T21:29:29Z
dc.date.available2026-07-06T21:29:29Z
dc.date.issued3-May-2019
dc.description.abstractIn developing countries, traditional access
dc.description.abstractmanagement systems ubiquitously use either keypad based
dc.description.abstractpassword protection or radio frequency identification (RFID)
dc.description.abstractcard based protection. With the increased number of threats in
dc.description.abstractrecent years, these systems are becoming more vulnerable. If
dc.description.abstractthe password or the RFID card is somehow compromised, any
dc.description.abstractunauthorized person can breach the system with ease.
dc.description.abstractConsidering and analyzing these issues, a cost-effective
dc.description.abstractprototype of a vision based three-layer access management
dc.description.abstractsystem with IoT connectivity was developed. In this paper, an
dc.description.abstractaccess management system architecture is proposed based on
dc.description.abstractthe fusion of radio frequency identification, back propagation
dc.description.abstractbased face recognition and password protection. The system is
dc.description.abstractalso connected to a Node JS based web server. Whenever an
dc.description.abstractaccess is granted or any unauthorized access is detected, an
dc.description.abstractSMS and an email are sent to both the user and the system
dc.description.abstractadministrator. Data security is ensured by exploiting AES
dc.description.abstractencryption on the system side and AES decryption on the
dc.description.abstractserver side. In case of face recognition, the access is granted if
dc.description.abstractthe achieved confidence level is over 80%.
dc.identifier.otherhttp://103.99.128.19:8080/jspui/handle/123456789/330
dc.identifier.urihttp://103.99.128.19:8080/xmlui/handle/123456789/330
dc.publisherEWU
dc.sourceCUET Digital Repository
dc.subjectAES encryption
dc.subjectback propagation
dc.subjectface recognition
dc.subjectNode JS
dc.subjectpassword
dc.subjectRFID
dc.titleA Vision Based Three-Layer Access Management System with IoT Integration
dc.title.alternative1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT 2019)
dc.title.alternativeICASERT 2019

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