Implementation of RFID Attendance System with Face Detection using Validation Viola-Jones and Local Binary Pattern Histogram Method

Basthomi, Faisal Rohman; Sukoco, Didik; Herijono, Budi; Soeprijanto, Adi; Nasikhin, Khoirun; Sa'adah, Roudhotul Auliya; Prasetyo, Dendy Dwi; Syai’in, Mat; Rinanto, Noorman; Endrasmono, Joko; Indarti, Rini; Setiyoko, Annas Singgih

doi:10.1109/isesd.2019.8909430

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…It implies that this method is straightforward, affordable, necessitates little from students and instructors, and improves the security of the attendance-checking procedure very much. A brief assessment at the end of each course and a real-time feedback mechanism for students are two innovative aspects of this system that give instructors richer data than just attendance numbers [14][15][16].The appropriate adjustments will be reflected in the student app and the attendance of the relevant topic will be automatically marked. This system will solve the proxy issue that currently exists The teacher will receive the understudy's QR code to record their attendance [18][19][20].…”

Section: Related Workmentioning

confidence: 99%

An Efficient, Novel, and Sustainable IoT-Based Approach for Attendance Detection through RFID Module and IR Sensor

Krihsna,

Subbarayudu,

Rao

et al. 2023

E3S Web Conf.

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The maintenance of student attendance at a facility is a challenging endeavor. The attendance is manually inputted, making it easily manipulatable. To effectively monitor and control student attendance in a setting, this research intends to build an intelligent attendance system with a sustainable approach to the problem. This study indicates employing RFID and IR sensors to automatically take attendance. Data can be viewed and stored in a real-time database using RFID (Radio Frequency Identification). The firebase database/google sheets are updated when the student’s card is brought close to the RFID module. Additionally, an IR sensor is employed to keep track of the overall number of students entering and leaving the classroom. It would be useful to know how many students are in the class overall, and how many students are in the class overall would be displayed on the LCD outside the class. The outcomes of the research on student attendance will be communicated to the parents, and the number of students in attendance overall will be forwarded to the higher representatives of the institutions. The system alerts the user if there is any discrepancy between the number of RFID tags scanned and the total number of students present in the classroom. The teacher must manually rectify the attendance error after the disparity in the count reveals the proxy in attendance. Future expansion of this research may include the use of biometrics and face recognition to detect the proxy and open up the possibility for a more sustainable environment.

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Section: Related Workmentioning

confidence: 99%

An Efficient, Novel, and Sustainable IoT-Based Approach for Attendance Detection through RFID Module and IR Sensor

Krihsna,

Subbarayudu,

Rao

et al. 2023

E3S Web Conf.

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show abstract

“…Face detection and recognition technology in conjunction with RFID technology forms the basis of the classroom attendance system. It successfully achieved the identification confirmation of the class's students [7]. When the student inserts the card in front of the RFID card reader, the microcontroller from the 8051 family reads the data and compares it with the data stored inside.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Sensor based Automatic Attendance Management System Using IoT

Meenakshi¹,

Leelarani²,

Shopika³

et al. 2022

IJRITCC

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The need for intelligent and distributed monitoring systems based on sensor networks of diverse application systems is growing as a result of the field of industrial control in network applications developing so quickly. It is required to check the body temperatures and attendance when students and staffs visit schools and colleges during this COVID 19 pandemic. A solution is developed here for the purpose of tracking temperatures and attendance management using a smart thermometer without being in contact in order to keep social distance. The person (both staff and student) faces are captured by the ESP32 Camera for training and testing purposes. After the training is over, the ESP32 Micro Controller board registers the student or faculty facial image. For attendance purposes, the MLX90614 IR Temperature Sensor will measure the body temperature of students or instructors. Both the collected data and the email-based attendance notification will be transferred to the cloud using IoT. The message "Please leave the college and take care of your health" will be communicated to the person if their temperature exceeds the threshold level.

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Attendance Monitoring Using Adjustable Power UHF RFID and Web-Based Real-Time Automated Information System

Chiem

Huynh

Nguyễn

et al. 2021

Future Data and Security Engineering

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Implementation of RFID Attendance System with Face Detection using Validation Viola-Jones and Local Binary Pattern Histogram Method

Cited by 8 publications

References 2 publications

An Efficient, Novel, and Sustainable IoT-Based Approach for Attendance Detection through RFID Module and IR Sensor

An Efficient, Novel, and Sustainable IoT-Based Approach for Attendance Detection through RFID Module and IR Sensor

An Intelligent Sensor based Automatic Attendance Management System Using IoT

Attendance Monitoring Using Adjustable Power UHF RFID and Web-Based Real-Time Automated Information System

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