IoT based Smart Attendance Monitoring System using RFID

Koppikar, Unnati; Hiremath, Shobha; Shiralkar, Akshata; Rajoor, Akshata; Baligar, Vishwanath P.

doi:10.1109/icait47043.2019.8987434

Cited by 26 publications

(10 citation statements)

References 7 publications

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“…Beberapa studi sebelumnya terkait smart attendance telah diteliti seperti yang dilakukan oleh U. Koppikar, S. Hiremath, A. Shiralkar et al (2019) dalam artikelnya yang berjudul IoT based Smart Attendance Monitoring Systems using RFID [4], U. Eze Peter, C. Joe Uzuegbu, L. Uzoechi et al (2013) dalam artikelnya berjudul Biometric-based attendance system with remote real-time monitoring for tertiary institutions in developing countries [5] dan M. Akbar, P. Sarker, A. Mansoor et al (2019) dalam artikelnya yang berjudul Face Recognition and RFID Verified Attendance System [6]. Namun, penelitian-penelitian tersebut memerlukan perangkat-perangkat tambahan sebagai sensor untuk implementasinya.…”

Section: Tinjauan Pustakaunclassified

Pemanfaatan Received Signal Strength Indicator Sebagai Pengganti Sensor Sidik Jari Pada Sistem Presensi Android

Morang¹,

Siswanto²,

Sahrir³

2022

JDI

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Mesin biometric yang digunakan di kantor-kantor pemerintah daerah/swasta saat ini sebagian besar menggunakan sensor fingerprint sebagai sensor autentikasinya. Penggunaan sensor sidik jari ini berbahaya karena dapat menjadi media penyebaran virus. Tujuan dari penelitian ini adalah merancang suatu metode baru sebagai pengganti sensor fingerprint untuk sistem presensi pegawai dengan memanfaatkan alat yang sudah ada. Penelitian ini memanfaatkan kekuatan sinyal yang ditransmisikan oleh access point ke perangkat smartphone android untuk memvalidasi keberadaan perangkat pengguna di area access point dan mengirimkan datanya ke database melalui internet (internet of things). Perangkat android memindai nama hotspot (SSID) yang ada di sekitarnya kemudian mencocokan daftar tersebut dengan daftar SSID yang ada pada database. Proses sinkronisasi dilakukan melalui API untuk mendapatkan informasi terbaru terkait saat ini. Tombol datang akan aktif jika belum ada riwayat kedatangan pada saat itu dan tombol pulang akan aktif saat riwayat kedatangan sudah ada namun riwayat pulang belum ada. Aplikasi android akan menampilkan data presensi terkini dan riwayat presensi 10 hari terakhir.

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Section: Tinjauan Pustakaunclassified

Pemanfaatan Received Signal Strength Indicator Sebagai Pengganti Sensor Sidik Jari Pada Sistem Presensi Android

Morang¹,

Siswanto²,

Sahrir³

2022

JDI

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“…Radio-Frequency Identification (RFID) tags contain electronically stored information and are used for an access control system. However, a traditional RFIDbased access control system [1] identifies people only by RFID card. Anyone presenting a registered RFID card can pass the authentication even if the user is not the cardholder.…”

Section: Introductionmentioning

confidence: 99%

Smart Attendance System using Face Recognition and RFID Technology

P¹,

K.V²,

Vaishnavi³

2021

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, In

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RFID, Fingerprint identification, and Iris identification techniques are used to register attendance in industries and organizations. Among all these personal identification strategies, face recognition consumes less time and is highly efficient. It has several applications in attendance management systems and security systems. In this work, a system is implemented that takes attendance for students and staff during their entry into classes or campus, employees in industries, etc, using RFID and face recognition technology. A time period can be set for taking attendance using the dashboard application which is developed using android and the database is automatically uploaded into the webserver through internet connectivity. This process is done without any human intervention. In this system, a Raspberry Pi is installed with OpenCV library and a Camera module is connected for facial Detection and Recognition. Also, an RFID reader is connected to read and verify the person's identity. The data is stored in the Firebase Database and can be accessed through Python programming. The attendance gets updated in the database and can be viewed through the developed Android application.

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“…But even though the vast majority of attendance monitoring solutions embodied in various studies utilized RFID technology, they commonly used the RC522 reader which has only 3cm read range with operating frequency of 13.56 Megahertz. (3)(4)(5)(6)(7) Given that specifications, it will require at least a tap to the reader for the tag to be identified. Moreover, one issue with using the RFID technology is the lack of security features to prevent fraud, which is emphasized in similar studies conducted on Internet of Things based smart attendance monitoring system using RFID.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, one issue with using the RFID technology is the lack of security features to prevent fraud, which is emphasized in similar studies conducted on Internet of Things based smart attendance monitoring system using RFID. (3)(4)(5) and the prototype of college student attendance using RFID at Musamus University conducted by Putra et al (6) The solutions they have presented were excellent in identifying RFID tags, however, when using RFID technology, you can only verify if the tag matches a record in the database but it cannot verify whether or not the cardholder is really the person associated with the tag in the database. https://www.indjst.org/ Aside from RFID technology other attendance monitoring systems used Bluetooth low energy (BLE) beacons for proximity sensing to transmit a universally unique identifier picked up by a compatible app installed on the teachers' smartphone.…”

Section: Introductionmentioning

confidence: 99%

In-Classroom Faculty Attendance Monitoring System based on Ultra High Frequency (UHF) Radio Frequency Identification (RFID) with Captured Image Cross-verification Mechanism

Calo¹,

Barbosa²,

Llevado³

2021

IJST

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Objectives: Faculty attendance in schools are monitored based on Daily Time Record (DTR) which captures a daily time-in and time-out of teachers in and out of the school campus using various technologies and methods, however there is a scarcity of studies in monitoring faculty attendance in the actual bounds of the classroom. Hence, this study aimed to develop an In-Classroom Faculty Attendance Monitoring System based on Ultra High Frequency (UHF) Radio Frequency Identification (RFID) with captured image cross-verification mechanism. Methods: The system comprises two modules, namely the Teacher Attendance Module and Attendance Monitoring Web Application module. The Teacher Attendance Module, it is composed of a UHF-RFID reader and a camera module that is interfaced to the Raspberry Pi board. Passive tags are embedded on the teachers' ID cards for them to be uniquely identified by the UHF-RFID reader when they are within the 2meter read distance. Meanwhile, the Attendance Monitoring Web Application module is developed using a PHP framework connected to a MySQL database. It aggregates the attendance data collected from the Teacher Attendance Module for monitoring purposes which is accessible to both the monitoring staff and teachers via a web browser. Findings: Based on the evaluation results, the proposed system received positive feedback from the end users in terms of its functionality and usability and was found to be more favorable over existing attendance monitoring systems. Novelty: The system provides a non-obtrusive way of checking teachers' attendance by utilizing the UHF-RFID technology which has a longer read range than other RFID categories used in previous studies. Moreover, unlike existing solutions, the system checks for attendance multiple times, not only during entrance and exit which then calculates the https://www.indjst.org/

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IoT based Smart Attendance Monitoring System using RFID

Cited by 26 publications

References 7 publications

Pemanfaatan Received Signal Strength Indicator Sebagai Pengganti Sensor Sidik Jari Pada Sistem Presensi Android

Pemanfaatan Received Signal Strength Indicator Sebagai Pengganti Sensor Sidik Jari Pada Sistem Presensi Android

Smart Attendance System using Face Recognition and RFID Technology

In-Classroom Faculty Attendance Monitoring System based on Ultra High Frequency (UHF) Radio Frequency Identification (RFID) with Captured Image Cross-verification Mechanism

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