Attendance Checking Research Articles

Smart Attendance System Using Face-Recognition

Abstract: Every Teacher know how tough it is to manage a class of 80 students. But the teacher’s manage the class also . But one thing that is even harder than managing the class of 80 students is to take attendance of that 80 students and maintain register . There are several ways to mark your attendance ,the most common way is to call out the name/Roll no. of the students. There are several drawbacks of this Manual System . One of them is It took longer and it is problematic. Hence people are thinking on switching on Automatic attendance System . From now on , a computer based student attendance checking system is required that supports faculty to keep records of students. Such system are already implemented in Country like China. In my face recognition project, a computer system will be able to find and recognize human faces fast and precisely in images or videos that are being captured through a surveillance camera. Numerous algorithms and techniques have been developed for improving the performance of face recognition but the concept to be implemented here is HOG(Histogram of Oriented Gradients). First we have to store a image and finds it encoding ,then after that once the video/image is send to script it will detect faces and reflect it into database

Lecturers’ checklist instrument to monitor students’ understanding in distance learning

This paper aimed at exploring the results of participant self monitoring using a checklist instrument in distance learning with flipped classroom setting. The participants were 11 lecturers of Bioprocess Engineering Study Program at Institut Teknologi Del (IT Del), Indonesia. The objective of the checklist instrument was for the lecturers to monitor their students’ understanding about the lessons given each week. The data generated from the instrument was analysed descriptively. The results found that pre-class, in-class and out-class are important parts of learning in flipped classroom setting. The data showed that 56% of students achieved good understading of the knowledge taught by their lecturers. The same idea as in-class, attendance checking and interaction between students and lecturers had a key factor in the learning process. It was found that students’ understanding increased by 20% (very good), 62% (good) and 18% (moderate) through questions and answers, discussions, and tests at the end of class. Those were the modes of interactions that had been done in class. In line with an out-class checklist, giving assignments and feedback could improve students understanding into the level of very good (61%), good (27%) and sufficient (10%). with using a checklist tool, participants in this study self-monitored their progress in a flipped classroom while taking distance learning courses online to improve the quality of their class.

Teacher and Student Talk in Classroom

This research's main objectives aimed at describing the types of an effective teacher and student talk based on Moskowitz’s FLINT analysis system; and the factors influencing its use in the teaching and learning process. The researcher applied a qualitative research design. This research participants were the teacher and students of the English Education Study Program at the State University of Makassar. One teacher and two classes were taken as the subject of this research. The data were obtained from classroom observation and interviews. In the interview, 12 students were chosen randomly. The data from observation and interviews were analyzed using an interactive model of data analysis procedure based on Miles & Huberman (2013). The findings showed that not all types of an effective teacher and student talk occurred in the observation. Some utterances cannot be classified into FLINT theory, and those utterances were then classified as a new type of teacher talk: "Assalamu’alaikum warahmatullahi wabarakatuh” and "good morning" were then classified as greeting. Moreover, the expression when the teacher is checking the students' attendance was classified as attendance checking. Meanwhile, it can be inferred that the classroom atmosphere or the students' character was the factor that mainly influences the use of effective teacher talk in the class. Then, the factors that may influence the use of compelling student talk in the class were (1) a signal of chance; (2) students' prior knowledge; (3) students' self-confidence; (4) students' curiosity; and (5) the teacher.

Artificial Intelligence based Student Absenteeism Detector

Abstract: The whole procedure of marking attendance in a classroom full of students can be a burdensome as well as timeconsuming task at times. Presence of students in a substantial amount during the lecture increases the chances of botching the attendance. Moreover, after the pandemic hit of covid-19, all the safety measures and concerns will prove previously existing conventional methods of attendance marking to be very inefficient and unmethodical. On these grounds, marking of attendance with standard approaches has been a region of dispute. Demand of effective and automated methods to produce a8n attendance management system has been expanding recently. Recently, the trouble of automated attendance marking has been a wide concern using basic biometric info like fingerprint and RFID Tags (Radio Frequency Identification) etc. Conventional attendance checking methods for example pen and paper or attendance sheet signing are not difficult to sidestep and deceive as giving proxies or fake signature is a typical and common practice among students these days, students pull an unfair advantage mostly due to this. However, in any case, a facial recognition framework is unassailable and cannot be tricked as every individual has a set of exclusive and individual features restricted to that individual only and cannot be simulated or altered, everything boils down to one basic rule that is, except if you are actually present in the lecture your participation won't get acknowledged.

Performance Analysis of Automatic Integrated Long-Range RFID and Webcam System.

In the academic environment, checking attendance can help lecturers better evaluate students’ performance in university. Traditional attendance checking has some disadvantages, which are wasting time and effort. The automatic attendance monitoring system, on the other hand, not only can help us solve these drawbacks but also bring a high-accuracy result compared to manually checking. The method uses ultra-high-frequency (UHF) RFID technology with four circularly polarized antennas, combined with the high-definition camera system used for face recognition that allows the system to recognize students’ faces. The system will check the attendance of students in offline classes through an RFID reader and camera which are set up in classrooms. In the case of online study in which students learn from home, the system can use students’ cameras directly from their laptops and smartphones to recognize their faces and check attendance. The web-based information system has real-time updates with attendance monitoring that allows the lecturer to review or determine the student’s attendance status. In the event of unexpected issues on the student side, the system enables lecturers to check attendance manually after receiving the student’s request. Our system, furthermore, can automatically generate a weekly report about student’s learning status in each class and provide the overall proportion of students’ commitment to attending classes for the lecturer. This paper brings some initial simulations of the system to give a more detailed picture of how the new system works and interacts. Besides, this manuscript provides a detailed performance analysis about the system with RFID and camera, then has an evaluation based on class’ learning outcome. The time, precision, and accuracy of our system are considered.

Face Recognition Based Attendance Record System

In today’s world, face recognition is the type of biometric that is used in almost every field. This technology is used for security purposes and can be used in many verification and security system. Though it is less efficient than eyes recognition and fingerprint recognition, is still in market due to its untouchability and non-intrusive method. Besides, face recognition should also be utilized for attendance checking in schools, colleges, offices, etc. Face Recognition method pivot to build up a class attendance system which uses the idea of face recognition as present hand done attendance process is lethargic and not suitable to keep. And there are chances of too much proxy attendance. Thus, the want for this method is much needed. This method involves 4 stages- database introduction, face detection, face recognition, attendance updation. The database is made by taking the snap shots of the students in elegance. Face detection and popularity is done using python opencv. Attendance is to be exported at the end of semester.

A Student Attendance Management Method Based on Crowdsensing in Classroom Environment

In smart cities, intelligent learning environment is an important application scenario, and class attendance checking is an important measure to urge students to attend on time and ensure the quality of learning. Aiming at the existing problems in class attendance checking, such as low efficiency and easy to cheat, this paper proposes a student attendance management method named AMMoC (Attendance Management Method based on Crowdsensing). AMMoC includes two phases, i.e., the initialization phase and the authentication phase. In the initialization phase, a teacher sends an attendance checking request to the server. After receiving the request, the server sends a request to tell students to submit their location information, and then forms the student location map once the server receives all the response from students. In the authentication phase, the server verifies the truth of the location information by sending requests to several students to count the number of students. The authentication phase includes two modules, i.e., the task assignment module and the attendance verification module. In the task assignment module, AMMoC first finds the optimized sequence of subregions and verifiers by using the Monte Carlo algorithm, and then requires the verifiers to count the number of students in the subregion. Finally, the statistics results will be verified in the attendance verification module. Experiment comparisons and analyses show that AMMoC has the advantages of good anti-cheating performance, fast speed, and little disturbance to class, and is suitable for attendance checking applications in classroom environment.

Design of Application for Students Attendance Checking in Islamic Boarding School

This research aims to create applications that can facilitate in conducting absences this is done to see the liveliness on the santri (a student who schools at Islamic boarding school) in the Koran as well as facilitate reporting on the offer in the form of software that can be open in Smartphone. The methods used in developing this application was observation. The results of this research are a system used to take attendance absences in each session a lesson in a payroll activity. This application is made so that the santri do not do cheating during absences so that information would be more valid.

Teaching English in a virtual classroom using Whatsapp during COVID-19 pandemic

Due to the severe situation of Covid-19 pandemic, teacher and students were forced to conduct online learning which was conducted synchronously or virtually. In a virtual classroom, teachers and students are all connected online via communication tools or their devices such as a computer, laptop, or smartphone at the same time. WhatsApp (WA) was considered as an online platform that supported the virtual classroom. Through WA, sharing information combined with some formats of file such as audio, video files, images, and location data could be done. This study was conducted to know some challenges of teaching English in a virtual classroom using WhatsApp during Covid-19 pandemic. A qualitative descriptive research method was used. The data were collected by distributing questionnaires to the fourteenstudents and an interview with the lecturer of Classroom WhatsApp group of Language in Society class.The findings displayed that the challenges were; 1) students’ attendance checking, 2) students’ English language skills, and 3) internet connection.

建设项目人员实时定位考勤技术的应用开发

建设项目人员实时定位考勤技术的应用开发

Use of Smartapps for administrative service based paperless system

This study aims to streamline the use of information systems in supporting the reduction in the use of paper media as/for administrative services. Smartapps is an integrated information system or one-door service aimed at providing information service related to administration including correspondence, attendance checks, and attendance report printing. Paperless is a method used to reduce paper use by storing documents and data digitally and stored in digital storage. The Smartapps system is used to address/ease mail administration services, check attendance, and attendance reports that still use paper media. The results obtained are to facilitate correspondence services, check attendance, and attendance reports by reducing paper use or paperless systems. With the Smartapps system, manual activities in correspondence, attendance checking, and attendance reports can reduce several stages of administrative services, so that services can be made effective with a 50% effectiveness rate. This reduction in manual stages results in speed, reliability and effectiveness of administrative services.

사용자 얼굴인식을 통한 자동출석체크 시스템

본 논문은 입력 영상으로부터 사용자들의 얼굴을 찾아내고 찾아낸 얼굴을 바탕으로 사용자를 인식해 출석을 확인할 수 있는 방법에 대한 연구이다. 우선 기계학습 이론에 기초한 얼굴 찾기 방법을 통해 얼굴인식이 이루어진다. 제안된 시스템은 특징 값들이 분명한 각 얼굴에 대해서는 기존 데이터베이스에 존재하는 등록된 얼굴 사진과의 비교를 통해 자동으로 출석 체크를 해주고, 특징 값들이 불분명한 얼굴에 대해서는 추후 필요시 수동으로 출석 체크가 가능하도록 미처리 얼굴로 별도 분류해준다. 제안한 알고리즘에 대한 사용자 인식 실험 결과 정확도가 매우 높진 않았지만 성공적으로 인식을 하였으며 이에 따른 정확도 문제를 개선하기 위해 성능 분석을 진행하여 향후 필요한 연구에 대하여 논하였다.

PRESENT: An Android-Based Class Attendance Monitoring System Using Face Recognition Technology

The study aimed to develop an Android-Based Class Attendance Monitoring Application using Face Recognition to make attendance checking and monitoring easier and faster. The researcher used incremental model as the software development process and the application was evaluated by seventeen (17) faculty members .A validated evaluation questionnaire was used to rate the level of acceptability of the application based on ISO 9126 software quality and the level of satisfaction for its major features. For the statistical treatment of the data collected, Likert Scale, weighted mean and t-test were utilized by the researcher. The results revealed that instructors find the existing way of checking attendance as time consuming and a tedious task. Furthermore, the respondents assessed the developed application as moderately acceptable in terms of functionality, reliability and usability while portability was rated as highly acceptable. With regards to the features, the respondents were very satisfied. The researcher concluded that the developed application was useful and it can support the needs of the instructors to make attendance checking and monitoring easier, faster, and reliable. Due to its acceptable evaluation result, instructors should consider the use of this tool as an alternative to the existing process of checking and monitoring class attendance. With the integration of different technologies such as Android, face recognition and SMS, the traditional way of checking class attendance can be made easier, faster, reliable and secured, thus improving classroom management.

Design of Attendance Check System Based on Ethernet Technology and Fingerprint Recognition

In order to improve the efficiency and quality of the class attendance check, this paper proposed an attendance check system based on fingerprint recognition, frequency identification, CAN communication and Ethernet technology. The system is composed of four parts including a system sever, service terminals, fingerprint recognition nodes, and client computers. The system server finishes the works such as database management, dispatching fingerprint and system management. Service terminals will transmit the fingerprint data, identify the students and record the attendance information. Fingerprint nodes collect, process and compare the fingerprint. Users login the system through client computers to query or/and manage the attendance data. This system proposed in this paper has following features and advantages. B/S structure is adopted to realize the flexibility and convenience. The framework of central management and distributed cooperation improve the real-time performance and reliability. The method to collect fingerprint dispersedly makes it to be efficient and flexible. The distributing structure of the service terminals improves the efficiency of the communication. Multi-sensors acquiring for fingerprint are used in a single classroom to boost the system’s efficiency.

Research on Effective Way to Improve Attendance Management in University

There is a phenomenon in the university that some students pay others for attending the class for themselves, which is known as paid-attendance. It is harmful and in conflict with the development of education and the progress of society. Attendance checking is a method of teaching management but not the unique one. How to get the students' recognition other than attendance checking is the biggest challenge that the university’s teachers face. To address the paid attendance, not only changing the method of attendance checking is necessary but also explore a new way. However, it is not enough to find solution by standing on the moral high ground, and the philosophy should be referred. By combining the regulation and humanistic care, the students can be managed.

BLE 비콘을 이용한 애드혹 전자 출결 확인 시스템

본 논문에서는 Wi-Fi 또는 셀룰러 네트워크가 없는 환경에서 BLE(Bluetooth Low Energy) 기반의 비콘을 이용한 전자 출결 확인 시스템을 제안한다. 제안된 전자 출결 확인은 폴링(Polling) 방식으로 진행하며, 출석 관리자와 참석자의 장치는 서로 비콘을 이용하여 응답을 요청 하거나 응답신호를 보낸다. 기존의 비콘을 이용한 전자 출결 확인 시스템은 별도의 서버 접속을 요구하는 반면, 제안된 방식은 다른 네트워크에 접속할 필요 없이 비콘 송수신만으로 출결을 확인할 수 있다. In this paper, we propose electronic attendance checking system using a bluetooth beacon in the absence of Wi-Fi or cellular networks. The proposed electronic attendance checking system uses a polling scheme where the administrator sends a request message and the attendees response using a beacon packet. Existing electronic attendance checking system requires a centralized server but the proposed method can check attendance without any external networks.

Mobile Attendance Checking System on Android Platform for Kazakhstani University

In the 21st century-the century of Information Technology, it is difficult to imagine life without any gadgets: phones, tablets, computers, laptops, and so on. Today, smartphones and tablets are becoming popular, and thus their operating systems become popular too. Android is designed for low-power devices that run on battery power at full capacity, using all of its services, such as cameras, lights, GPS navigation, Wi-Fi, etc. In Kazakhstani universities, the process of checking students’ attendance is one of the important issues, because final grade evaluation of students is based on their total number of appearances and their grades during the whole semester. This raises the question of having some tool to control students’ attendance. There are many possible ways of controlling attendance: there are many examples when universities prefer to control attendance by the use of paper sheet, and some universities prefer to use two-stage way of controlling attendance: firstly, teachers and professors use paper sheet for checking students’ attendance and after this, they fill out these information into a system manually. However, this is not an efficient way since there will be spent much of time for calling students names and putting marks like “presence” or “absence” if the class is a lecture class, and in this class at least 5 groups are presented. Furthermore, some students may call his/her friend as “presence” nevertheless to the fact that this student is currently absent. After taking into consideration all these issues and the fact that many gadgets use Android platform, authors of the following research paper decided to create a mobile system that makes easier to check students’ attendance automatically, and this system is implemented in Almaty Management University, Kazakhstan. The system is based on Android platform, and in this paper, details of this system are presented.

BLE 기반의 비콘을 이용한 스마트 출석 확인 시스템

In an environment of IoT services, sensors to track things and human activities are included as an essential element and smart phone is actively used as a means of collecting and processing information from sensors. Especially, wireless communication and NFC provided by the smart phone are key technologies for exchanging information between participants of IoT service. In this paper, we propose and implement the smart attendance checking system based on BLE using a beacon for improving the quality of a university lecture by processing attendance information automatically. Proposed system uses the beacon sensor for being aware of attendance information and the smart phone for receiving and processing this information. The implemented system has the benefit to improve the lecture quality because a professor can minimize attendance che cking time and spend a lot of time on the lecture.

A Measurement Study of BLE iBeacon and Geometric Adjustment Scheme for Indoor Location-Based Mobile Applications

Bluetooth Low Energy (BLE) and the iBeacons have recently gained large interest for enabling various proximity-based application services. Given the ubiquitously deployed nature of Bluetooth devices including mobile smartphones, using BLE and iBeacon technologies seemed to be a promising future to come. This work started off with the belief that this was true: iBeacons could provide us with the accuracy in proximity and distance estimation to enable and simplify the development of many previously difficult applications. However, our empirical studies with three different iBeacon devices from various vendors and two types of smartphone platforms prove that this is not the case. Signal strength readings vary significantly over different iBeacon vendors, mobile platforms, environmental or deployment factors, and usage scenarios. This variability in signal strength naturally complicates the process of extracting an accurate location/proximity estimation in real environments. Our lessons on the limitations of iBeacon technique lead us to design a simple class attendance checking application by performing a simple form of geometric adjustments to compensate for the natural variations in beacon signal strength readings. We believe that the negative observations made in this work can provide future researchers with a reference on how well of a performance to expect from iBeacon devices as they enter their system design phases.

The Possibility of Using RFID System to Automate and Integrate the Attendance of Professors and Students in the Classroom

One of the most important goals followed in most systems is to increase efficiency, reduce errors and enhance ease of data entry tasks such as better services in organizations. Therefore, the use of intelligent tools is of the most important requirements for a management system in order to collect complete and accurate data and create complete information. In management, use of new technologies is recommended to have smart systems and reduce human errors. This study aimed to investigate “professors and students attendance system using RFID” and research population consists of professors and students. Findings show that, as attendance checking system in universities and schools is done through the class list and checking attendance of students needs to spend time and energy so it leads to a waste of valuable time and energy of professors to teach. Therefore, it is essential to use efficient and modern systems, because with the design and implementation of RFID attendance system and replacing the traditional system, time and energy waste could be avoided and attendance system could be promoted to an intelligent and integrated one. The designed system includes a number of hours of presence and absence, delays and rush to pay the salaries of professors at the University with its automatic identification through radio frequency. This system aims to create changes in this area and it is economic in whole.