IoT Based Automatic Student Attendance Monitoring System

2018 ◽  
Vol 6 (2) ◽  
pp. 329-336
Author(s):  
Chandrappa S ◽  
◽  
Dharmanna L ◽  
Deekshith K ◽  
Jagadeesha S ◽  
...  
Keyword(s):  
Monitoring System ◽  
Student Attendance

scholarly journals A New Model of The Student Attendance Monitoring System Using RFID Technology

2021 ◽  
Vol 1807 (1) ◽  
pp. 012026
Author(s):  
Mutammimul Ula ◽  
Angga Pratama ◽  
Yuli Asbar ◽  
Wahyu Fuadi ◽  
Riyadhul Fajri ◽  
...  
Keyword(s):  
Monitoring System ◽  
Rfid Technology ◽  
Student Attendance ◽  
New Model

scholarly journals Attendance Monitoring System of Schools in the Philippines with an Inclusion of Optimization Query Algorithm

2021 ◽  
Vol 10 (8) ◽  
pp. 142-146
Author(s):  
Arman Bernard G. Santos ◽  
Neil P. Balba ◽  
Corazon B. Rebong
Keyword(s):  
Active Learning ◽  
Monitoring System ◽  
Academic Progress ◽  
The Philippines ◽  
Student Attendance ◽  
Vital Part ◽  
Class Attendance ◽  
Attendance Patterns ◽  
Scholastic Performance ◽  
Query Algorithm

In this paper, researchers had provided definite solutions in order to check and validate student attendance with the use of computerized seat plans along with the information and image of each student. This study also discussed the inclusion of Optimization Query Algorithm in order to identify and monitor student’s punctuality as well as the analysis of the reasons why they fail to attend their class. Attendance patterns are formed early in life because it validates one of the components of student’s academic and scholastic performance. Regular attendance is vital part of the grading component necessary to attain some portion of the student’s academic progress. You are missing out on active learning experiences and class attendance. As a result, they are more likely to to fail which tends to affect their academic performances.

scholarly journals Development of A Multi-Client Student Attendance Monitoring System

2019 ◽  
Vol 8 (3S) ◽  
pp. 6-11
Keyword(s):  
Monitoring System ◽  
Web Application ◽  
Recognition Rate ◽  
Experimental Result ◽  
Raspberry Pi ◽  
Student Attendance ◽  
Scale Invariant ◽  
Lighting Condition ◽  
The Face ◽  
Student Information

A multi-client student attendance student monitoring system was developed. The attendance system consists of the client and the server. The core functions of the client device are verifying student’s identity for attendance recording and monitoring their presence in class. Haar-feature based cascade classifier for object detection and the Scale Invariant Feature Transform Technique (SIFT) technique were implemented for the face authentication process. This paper highlights a full-fledge system architecture with face-based identification implemented on the Raspberry Pi 2 board as the client alongside with RFID authentication for initial identification. The system also has webpage integration for system management. The accuracy achieved was 84% for face verification and 75% for face recognition. The experimental result showed that the recognition rate was affected by inconsistency of wearing glasses, distance between the face and the webcam, lighting condition and the environmental background. A database was setup to store attendance and student information. It is supported with a web application to view, update and analyze the attendance data

scholarly journals Application of SMS Gateway on Attendance Detection Systems using RFID

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Dedi Satria ◽  
Taufik Hidayat ◽  
M.Aziz Hidayat ◽  
Zakaria Zakaria
Keyword(s):  
Monitoring System ◽  
Parental Monitoring ◽  
Detection System ◽  
Daily Basis ◽  
Rfid Tags ◽  
Student Attendance ◽  
Analysis And Design ◽  
Detection Systems ◽  
Arduino Uno ◽  
Rfid Readers

<em>The student attendance monitoring system at school is currently only carried out by the teacher in the form of a student attendance system that is carried out at the beginning of each lesson. And for parents students only get student attendance reports from the final school report. In this case, parental monitoring of student attendance at school on a daily basis cannot be obtained. So it is therefore necessary to have a student attendance detection system that can be monitored remotely. For this reason, the article aims to build a student attendance detection system using RFID that implements sending attendance information to students using SMS to parents of students. The system is built using RFID Tags, RC522 RFID Readers, Arduino Uno and GSM SIM900 modems. The results of the analysis and design of the system, the student attendance detection system has been able to detect the presence of students through RFID tags that are used as student attendance and send attendance information via SMS to parents of students.</em>

scholarly journals AI-Based Attendance Monitoring System

2019 ◽  
Vol 9 (2S) ◽  
pp. 592-597
Keyword(s):  
Artificial Intelligence ◽  
Student Performance ◽  
Monitoring System ◽  
Motion Pictures ◽  
Individual Student ◽  
Department Heads ◽  
Student Attendance ◽  
Face Detection And Recognition ◽  
The Individual ◽  
Detection And Recognition

Attendance Monitoring System is essential in all organizations for checking the performance of students and it is not easy task to check each and every student is present or not. In all organization attendance are taken manually by calling their register numbers or names and noted in attendance registers issued by the department heads as a proof and in some organizations the students wants to sign in these sheets which are stored for future references. This technique is repetitive, complex work and leads to errors as few students regularly sign for their absent students or telling proxy attendance of the absent students. This method additionally makes it more complex to track all the students attendance and difficult to monitoring the individual student attendance in a big classroom atmosphere. In this article, we use are using the technique of utilization face detection and recognition framework to contunisuly recognize students going to class or not and marking their attendance by comparing their faces with database to match and marking attendance. This facial biometric framework takes a picture of a person using camera and contrast that image and compare the image with the image with is stored at the time of enrolment and if it matches marks the attendance and monitor the student performance contunisuly. We may use the concept of artificial intelligence concept to monitor student attendance like capturing the motion pictures of the student when present in class to analyze the student data how much time the student presents in class.

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