Student Attendance Management System Research Articles

Student Attendance Management System

Student Attendance Management System

Design and Implementation of a Student Attendance Management System based on Springboot and Vue Technology

Design and Implementation of a Student Attendance Management System based on Springboot and Vue Technology

Smart Attendance Management System

This project is based on SMART STUDENT ATTENDANCE MANAGEMENT SYSTEM. A Student Attendance System is a critical component of educational institutions, designed to streamline the process of tracking and managing student attendance. It is used to automate attendance recording and reporting. It aims to improve efficiency, accuracy, and transparency in monitoring student attendance, making it invaluable tool for educators and administrators. A Student Attendance System contributes to better resource allocation and enhances overall educational experience for students and institutions alike.

Streamlining Attendance Management in Education: A Web-Based System Combining Facial Recognition and QR Code Technology

Attendance tracking has long posed challenges in educational institutions due to the inefficiency and error-prone nature of traditional paper-based methods. In response, many institutions have embraced web technologies and automated attendance systems, incorporating biometrics, QR codes, barcodes, and RFID-based technologies. However, the applicability of these systems may vary across different educational settings. This paper introduces a web-based student attendance management system that combines facial recognition technology and QR codes to address the challenges associated with manual attendance tracking in a university college. The system leverages a centralized database for streamlined monitoring and auditing of attendance records, offering the flexibility to choose between face recognition and QR code attendance marking options. User acceptance tests were conducted to evaluate the system's effectiveness, and the results indicate that the proposed system greatly improves attendance tracking transparency and demonstrates high usability based on positive user ratings. Additionally, the preference for face recognition over QR code scanning was evident. Incorporating these technologies into the automated attendance system represents a substantial advancement in educational technology, offering an accurate and efficient way of recording attendance.

Retracted: Design of the Student Attendance Management System Based on the Internet of Things Technology

Retracted: Design of the Student Attendance Management System Based on the Internet of Things Technology

A Survey on Automated Student Attendance Management System Using Face Recognition

The old way of controlling attendance is obviously a time-consuming one that makes it tough for the person in charge to keep track of students attendance. A more practical biometric student attendance system is required as we transition from manual to automated labour, which will lessen these challenges. The issue of manual labour can be solved using a variety of biometric approaches. Face recognition is projected to be employed in the student attendance system since it is seen to be the finest biometric method. This studys major goal is to comprehend the work that has already been done on a facial recognition-based student attendance system. The current study performed a literature review of earlier works based on face recognition-based student attendance management systems. The methods, strategies, and difficulties of face recognition are described in this work. Regarding research based on facial recognition, there are several difficulties. This research suggested a camerabased student attendance system that used facial recognition technology to address this problem.

Integrated Student Database and Attendance Management System with Face Recognition

Integrated Student Database and Attendance Management System with Face Recognition

Design of the Student Attendance Management System Based on the Internet of Things Technology

The IoT refers to the linking of items to a network through message-generating devices; in the connection process, communication and information circulation are carried out through the information dissemination medium to realize intelligent identification, tracking, supervision, and other functions. Attendance management is a system for assessing employee attendance, including being late, leaving early, and asking for leave. Student attendance refers to the attendance rate of students in class. This article aimed to study the design and research of the student attendance management system based on the Internet of things technology, and use this system to accurately record students’ attendance and develop good habits for students. An effective attendance management company has been developed to enhance the collection of information for student management in universities, to keep track of teachers’ and students’ teaching attendance in real time, and to connect teachers and students in real time using computer technology. Access to the Android version of the software speeds up the collection and processing of information and can play an important role in improving the efficiency of personnel management. On the basis of analysing the operation logic of the attendance system, matching programs and the attendance system software are designed. The experimental results of this article show that the attendance rate of students with utilitarian personality is the highest, as high as 70%; the attendance rate of students with helpless personality is 13%; the attendance rate of students who follow the current personality accounted for 10%; and the attendance rate of nonmotivated students accounted for 7%. It can be seen from this that personality is an important factor affecting students’ attendance rate. The attendance rate of positive psychology with goals is the highest, and the attendance rate of students without clear goals is the lowest. The student attendance management system of the Internet of things technology has been applied in practical work, but with the continuous construction and development of the school, the continuous improvement of new software and hardware, and the emergence of new needs in practical work, the student attendance management system is easy to crash when processing a large amount of data at the same time.

IoT based Student Attendance Management System using RFID and Face Recognition

Attendance is for keeping records of number of students present in schools, colleges or in any organization. It is very important constituent in maintaining discipline among students in acollege and imparting quality education in schools, colleges. Complexity of this process increases even more with increase innumber of students. Biometric student attendance system increases the efficiency of the process of taking student attendance.Automatic wireless identification has been facilitated by IoT technology using electronic passive and active tags with suitable readers. In this paper the concept of a simple and portable approach of IoT is applied to student attendance that records the attendance using RFID and Face Recognition. This system aims to automate the awkward process of manually taking and storing student attendance records. It will increase the reliability of attendance records by preventing proxy attendance. As per the requirement by the teacher, the securely stored attendance records can be reliably retrieved. This concept is capable of eliminating time consumption during manual collection of attendance and an opportunity for the educational administrators to capture face-to-face classroom data for allocation of proper attendance scores and for further managerial decisions.

Coping with Access Difficulties and Absenteeism through Data Visualization: A Case Study from a Rural Vocational School in Northern Greece

Absenteeism and early school leaving (ESL) constitute two main problems in education with a significant impact on adolescents’ life. Early leavers from education and training may face considerable difficulties in the labor market later as adults. Motivated by the necessity of minimizing this phenomenon, we developed a novel application that uses big data, generated from a student attendance management system in a vocational senior high school in Greece. This application first automatically conducts data preprocessing and data transformation and saves the processed data on a cloud data warehouse. Then, an online analytical processing (OLAP) analysis is performed, resulting in a real-time visualization that provides a variety of different graphs. In this study, we demonstrate the need for real-time visualization of the analyzed data. Such a type of presentation provides information on the spot regarding potential early leavers’ behavior, helping school administrators gain time for prompt and effective actions. Through the data processing and analysis, the application provides instructors with constant information, in addition to those acquired by the formal student attendance management systems. Our research provides indicative evidence in favor of the use of such applications, as by adequately reacting to the observed patterns in real-time, we observed a significant decrease in students’ unnecessary absences and a reduction of the ELS phenomenon in a three-year school period.

LOW COST APPROACH TO SECURED STUDENT ATTENDANCE MANAGEMENT SYSTEM DEVELOPMENT

In every setting where attendance is important, a system for managing attendance is a crucial tool. Several works exist in automated attendance management systems however, most of the approaches come with a lot of weakness and relatively high operational costs. These include additional hardware installations, less secure, and most critical, not efficient in handling large target/classroom populations. This paper identifies some weaknesses of the most popular approach used in developing student attendance management systems. Hence, develop a low-cost and secured student attendance management system using face recognition and GPS location that can be provisioned as a cloud application and accessible using any internet-enabled mobile device. Using this approach, the student can only clock-in attendance within the stipulated lecture time using their face and must be within the lecture venue coordinates. The proposed system was developed with python using the Django framework. It uses Viola-Jones Algorithm and face recognition API for face detection and recognition respectively. The system was deployed and tested on AWS EC2. The results showed that the system could be adopted by institutions or organisations having large classroom populations that desire to take attendance more efficiently with less cost.

Video Based Student Attendance Management System

Abstract: Mainly there are two conventional methods of marking attendance which are calling out the roll call or by taking student sign on paper. They both were more time consuming and difficult. Hence, there is a requirement of computer-based student attendance management system which will assist the faculty for maintaining attendance record automatically. In this project we have implemented the automated attendance system using MATLAB. We have projected our ideas to implement “Automated Attendance System Based on Facial Recognition”, in which it imbibes large applications. Keywords: Attendance System, Automated Attendance, Image Processing, Face Detection, Feature Matching, Face Recognition

Automated Student Attendance Management System Using Face Recognition

Automated face reputation (AFR) technologies have made many improvements inside the converting international. Clever Attendance using actual-Time Face popularity is an actual-international solution that comes with the day after day activities of handling pupil attendance machine. Face recognition-based attendance machine is a process of spotting the student's face for taking attendance through using face bio-metrics primarily based on high-definition display video and different facts generation. In my face recognition assignment, a computer system can be able to find and apprehend human faces speedy and precisely in pictures or movies which might be being captured via a surveillance digital camera. Several algorithms and techniques were advanced for enhancing the performance of face reputation but the idea to be carried out here is deep getting to know. It allows in the conversion of the frames of the video into photos so that the face of the student can be effortlessly recognized for his or her attendance so that the attendance database can be effortlessly pondered automatically. Inside the ever-changing world, automatic face reputation (AFR) systems have finished numerous advancements. Smart Attendance with real-Time Face popularity is a sensible alternative for handling student attendance systems on a day-by-day foundation. Face reputation-primarily based attendance device is a way of recognizing a student's face for the motive of taking attendance, primarily based on high-resolution facial biometrics.

Attendance Management System using Google Facenet for Facial Recognition

Attendance management system is a required tool for attaining attendance in any habitat where attendance is essential. Yet, many of the available techniques consume time, are invasive and it demands manual work from the users. This research is directed at building a less invasive, cost effective and more efficient automated student attendance management system using face recognition that leverages on OpenCV functions for facial recognition. The system provides a GUI for marking attendance. It provides an interface for updating attendance using facial recognition libraries of OpenCV. The system stores attendance in a database which is maintained by the administrator. The administrator can view, update, and change the attendance of the students. The students can view and update their attendance. The system is developed on Open-Source image processing library and the interface is developed using Python Tkinter module. The Tkinter module is an open-source module by which we can develop GUI screens hence, it is not software dependent nor vendor hardware. The OpenCV module used for image processing is interfaced using python.

A Survey on Automated Student Attendance Management System Using Face Recognition

Maintaining attendance system of students of various classes and accessing them is a difficult task. Calling names of each student in each hour and keeping a record of the attendance is time consuming as well. Other issues would be false sign, name missing out in sheets, manually entering data to computers and there is also a chance of proxy attendance. The following system marks attendance based on the concept of face detection and face recognition. The daily attendance of all the students is noted subject wise and is stored by the administrator. Hence, accessing as well as storing the attendance system is easier and more efficient. It makes effective and perfect application of man power and resources.

Attendance Management System using Face-Recognition

Nowadays Educational institutions are concerned about regularity of student attendance. Even in pandemic situation attendance is still a major issue in schools and colleges. Mainly there are two conventional methods of marking attendance which are calling out the roll call or by taking student sign on paper. They both were more time consuming and difficult. Hence, there is a requirement of computer-based student attendance management system which will assist the faculty for maintaining attendance record automatically. In this project we have implemented the automated attendance system using ‘TKINTER’ and ‘PYTHON’. We have projected our ideas to implement an “Automated Attendance System Based on Face Recognition”. The application includes face identification, which saves time as well as being purely softwere based it can be flagged as eco-friendly as it reduces the use of paper. This system also eliminates the chances of fake attendance because of the face being used as a biometric for authentication. Hence, this system can be implemented in a field where attendance plays an important role. The proposed system is designed in TKINTER platform supported with a script of PYTHON as well as SQL database. The algorithm used in the system is based on image comparison on the basis of the encoded values of the face from the image from database with the image recorded by the system in run time. The system has output in the form of excel sheet.

THE INFLUENCE STUDENT ATTENDANCE MANAGEMENT SYSTEM ON ACADEMIC PERFORMANCE

Student Attendance Management System is designed to manage the student’s attendance record. This project is about to study the influence of student attendance management system in order to verify their attendance on. The foremost reason this system is being proposed is to overcome the current manual attendance process that is happening in all Universiti. The cutting-edge technology world has led to the idea for transforming the manual attendance by provide faster, accurate, and efficient system. With attendance system, it can eliminate some problems such as buddy signing, loss of attendance sheet, and control student skip class rate. That is how Student Attendance Management System is being developed. The purpose of constructing this system is to increase the efficiency and performance of the attendance process besides minimizing the overall time, work and paper used. The target user that will be using this system is student and lecturer. The major functions that Student Attendance Management System performing is add and manipulate attendance record, automated calculation on number of absent and percentage present of the student based on subject and flexibility to generate complete attendance documents (attendance list, attendance report, warning letter) any time in need.

生体（指静脈）認証技術を用いた出席管理システムの開発

生体（指静脈）認証技術を用いた出席管理システムの開発

Mobile Application for Uploading Marks and Student Attendance Management System

Student presence in the classroom could be a very important issue so as to monitor student’s performance within the class compared to their studies. It turns into the main reason that the college management keeps up a standard that a student can just go to in the test if his/her participation is higher or equivalent to a few rates (70% to 80%). In the traditional attendance system, this can be the waste of time to note and marking every student's name in the attendance register. Hard copy of the marked register might get lost even. By using the latest updated android technology, a teacher can take attendance easily and can provide student's semester marks and student can able to see it with their unique Id. Using this technology, marked attendance will be saved in the phone yet as in server also and it checks and can be shared. With the stored information, can perform attendance percentage calculations and can remind by sending SMS to their guardian to stay them refresh regarding their kid’s attendance in the Institute. Technology’s in this application are Angular-6, ExpressJs, NodeJs and MongoDb.

Development of Microcontroller Based Two Stage Student Attendance Management System

The progress on today's technologies has brought many advantages. Wearable technologies, telecommunication, robotic systems, 3d printers and many other applications provide great convenience for human life. Sensor technologies are also among these applications. Performing a process by controlling or co-operating the sensors also provides a significant benefit in eliminating difficulties for humans. One of the places where sensors are used is recognition systems. In the recognition process, the user materials are used such as the card, fingerprint, iris, face etc. Digital identification systems are recognition systems that can be done with various sensors and provide various benefits for the users. In the scope of this study, student attendance management system that comprises two stage control processes has been realized. At the first stage, the student ID card is read in the RFid card reader module and then the person information is checked from the database and go to the second stage. At the second stage, the fingerprint of the student is read by fingerprint sensor and the student is given the possibility to transition after the database control. Time and login information are recorded in the database when the student uses the system. Thanks to this system, it is aimed to get rid of some problems, such as sign someone else's, reading the student card someone else's, etc., in the student attendance management system.