Attendance Monitoring Research Articles

Facial Recognition Attendance Monitoring System using Deep Learning Techniques

The Facial Recognition Attendance Monitoring System employing Deep Learning Techniques represents a cutting-edge application of artificial intelligence in educational and corporate environments. The implementation of a Facial Recognition System can aid in identifying or verifying a person's identity from a digital image. Accurate attendance records are vital to classroom evaluation. However, manual attendance tracking can result in errors, missed students, or duplicate entries. The adoption of the Face Recognition-based attendance system could help eliminate these shortcomings. This innovative approach involves utilizing a camera to capture input images, detecting faces using algorithms such as Haarcascade, Eigen values, support vector machines, or the Fisher face algorithm, verifying the faces against a database of student profiles, and marking attendance in an Excel sheet. The use of OpenCV, an open-source computer vision library, ensures the efficient functioning of the system.

Web-based smart attendance monitoring system using QR code and GSM module for SMS notificatio

The study was designed and developed to address certain problems and concerns of the school administration and parents of students attending Ciriaco Mariano Elementary School. The system was used to provide the school an innovative way to record attendance of students, provide parents with real time updates regarding the entry and exit of their children in the school premises, and be able to monitor students by generating attendance reports. The Web-based Smart Attendance Monitoring System using QR code and GSM module for SMS notification was developed through the implementation of the Iterative System Development Life Cycle Model. This iterative model ensures that the web-based system conformed to the all of the requirements from the CMES and of the requirements set by the ISO 25010 criteria. To assess the quality of the developed web-based system, the researcher adapted the ISO 25010 Software Quality Standard as evaluation tool. Two sets of questionnaires were developed and were given to respondents who were selected using purposive sampling. The first set of questionnaires were given to IT experts to assess the technical qualities of the system which includes functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. The second set of questionnaires were given to the school principal, teachers, and parents to assess the web-based system quality on selected criteria which includes functional suitability, performance efficiency, and usability. The Web-based Smart Attendance Monitoring System using QR code and GSM module for SMS notification was successfully developed using the iterative SDLC model and found conformed to the ISO 25010 software quality standards as implied by the results from the evaluation of IT experts, school principal, teachers, and parents.

Web-Based Employee Attendance Information System On CV. Syntax Corporation Indonesia

This study discusses the implementation of a Web-Based Employee Attendance Information System on a CV. Syntax Corporation Indonesia. The application of information technology in employee attendance management has become an increasingly urgent need in various organizations, including CV companies. Syntax Corporation Indonesia faces the challenge of efficient and accurate attendance management. The Information System developed in this study is designed to facilitate recording and monitoring employee attendance and allow real-time data access through an intuitive web interface. This research includes needs analysis, system design, software development, and practical implementation of the Employee Attendance Information System. The development method used is a software development life cycle model that includes requirements analysis, design, development, testing, and implementation. The results of this study show that the Web-Based Employee Attendance Information System implemented in CV. Syntax Corporation Indonesia has improved the efficiency and accuracy of attendance management. Employees can easily record their attendance through the web interface, while management can access real-time attendance data and generate relevant reports. In addition, implementing this Information System also allows for more effective attendance monitoring, detection of unauthorized attendance, and taking appropriate actions per company regulations.

Attendance Management System using Face Recognition

The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that caused inaccurate and inefficient of attendance taking. Many problems arise when the authority is unable to enforce the regulation that exist in the old system. The technology working behind will be the face recognition system. The human face is one of the natural traits that can uniquely identify an individual. Therefore, it is used to trace identity as the possibilities for a face to deviate or being duplicated is low. In this project, face databases will be created to pump data into the recognizer algorithm. Then, during the attendance taking session, faces will be compared against the database to seek for identity. When an individual is identified, its attendance will be taken down automatically saving necessary information into a excel sheet. At the end of the day, the excel sheet containing attendance information regarding all individuals are mailed to the respective faculty.

THE EFFECTS OF REIMPLEMENTING A BIOMETRIC ATTENDANCE MONITORING SYSTEM IN THE ELECTRONICS ENGINEERING DEPARTMENT AT DON HONORIO VENTURA STATE UNIVERSITY

Monitoring the attendance of staff and employees holds paramount importance in organizational settings. This can be accomplished either manually, using logbooks and daily time records, or automatically through advanced technologies such as radio frequency identification, biometrics, and bar code scanners. Biometrics attendance monitoring systems, in particular, offer a range of benefits, including heightened security, accuracy, convenience, scalability, time efficiency, compliance, and accountability. This research paper elucidates the advantages of the biometric system, examining its impact on the employees of the Electronics Engineering Department at Don Honorio Ventura State University during the 1st Semester of the Academic Year 2023-2024. The Biometrics Attendance System proves to be exceptionally effective and efficient, gaining a consensus of 92% among participants regarding its positive impacts. Ratings consistently hover at 4 or 5 for efficiency, underscoring the streamlined processes. Accessibility earns a positive average score of 80%, and privacy measures receive an equally commendable average score of 82%. While the system generally contributes positively to managing absenteeism, an outlier score of 1 from a participant prompts further investigation. In conclusion, the Biometrics Attendance System excels in effectiveness, efficiency, and user satisfaction, positioning itself as a secure, accurate, and convenient solution. This becomes especially relevant as the Electronics Engineering Department integrates the biometric system, reaping benefits in terms of security, accuracy, and time efficiency. However, it's noteworthy that the implementation of the biometrics attendance system correlates with an increase in faculty absenteeism. Addressing specific concerns identified in the Manual Attendance System could guide targeted improvements for a more comprehensive and satisfactory attendance monitoring system overall.

Web-Based Student Internship Attendance Application System for Effective Student Attendance Monitoring

The Web-Based Student Internship Attendance Application System revolutionizes the management of internship programs in higher education institutions and companies. This innovative platform addresses the critical need for a streamlined process in handling internship attendances, a vital component of higher education that equips students with essential real-world experience. Traditional methods of managing these attendances have been fraught with complexity and inefficiency. Our system introduces a user-friendly, web-based interface that enables students to record their daily attendance effortlessly using mobile devices or computers. Beyond mere attendance tracking, the system empowers students to submit detailed reports on their daily assignments and experiences. For program organizers, the system provides instantaneous access to attendance data, thereby facilitating better management and evaluation of the internship programs. Key benefits of this system include enhanced efficiency, improved accuracy, and greater transparency in attendance recording. Its capability to minimize human error in attendance tracking and to maintain a comprehensive historical record of data is invaluable for assessing program effectiveness and informing future improvements. This advancement in internship management through web technology not only enriches the student experience but also aids educational institutions and companies in optimizing their internship programs. The Web-Based Student Internship Attendance Application System represents a significant step towards modernizing and elevating the quality of internship management

Utilising QR-Code of Covid-19 Vaccine for Attendance Using Extreme Programming Method

The digital attendance system enables more efficient data processing, real-time time monitoring, and reduces human errors in the recording process. One of the schools that has developed this technology is SMK Negeri 4 Kota Sorong. This is related to the last two years, where almost everyone has been required to receive the COVID-19 vaccine for prevention and monitoring of student attendance at school. To support the monitoring of student attendance at school, a web-based COVID-19 Vaccine QR-Code utilization system is needed at SMK Negeri 4 Sorong, Southwest Papua. This student attendance system has three access levels, which are divided into admin, teachers, and parents. This research uses PHP programming language and MySQL database. The development of this system is carried out using the Extreme Programming method, which includes steps such as problem identification, data collection, applying the Extreme Programming method, and implementation. The school attendance system, which has been built with its features, has been proven to work perfectly through feature testing using black-box testing with a 100% success rate. From the results of this testing, the utilization of the COVID-19 Vaccine QR-Code can be used for attendance and departure monitoring.

Review on Online Student Attendance System

Abstract: This abstract offers a comprehensive view of online student attendance, a crucial aspect of modern educational settings. With the paradigm shift to online learning, monitoring andensuring student attendance has become a paramount concern. This abstract examines the multifaceted dimensions of online attendance, encompassing its significance, challenges, strategies for improvement, and the tools and technologies employed to track and manage attendance. The significance of attendance in the virtual classroom is explored in terms of its correlation to academic performance, engagement, and overall student success. Furthermore, the challenges inherent in monitoring attendance in a remote environment are delineated, such as technical glitches, lack of student engagement, and the need for alternativeassessment methods. Strategies aimed at enhancing attendance and engagement are discussed, including fostering a sense of community, employing interactive teaching methodologies, and leveraging various digital platforms and applications to trackattendance. Additionally, the abstract provides insights into the ethical considerations of attendance monitoring in online education.

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.

Employee Attendance and Performance Monitoring System with Facial Recognition Technology and Data Analytics

Paper-based attendance monitoring is being altered daily, whether in public or private, making it unreliable in evaluating the authenticity of attendance. In a career context, attendance plays a fundamental role, and traditional methods for monitoring it need to be updated. The emergence of biometric identification, particularly facial recognition, offers a promising solution. This study introduces FRaDA, an employee data Analytics with a Face Recognition System developed explicitly for Talisay Elementary School (TES) faculty and staff. The system aims to digitize attendance monitoring and employee evaluation processes by leveraging facial recognition technology. It captures and records attendance via live camera feed, generates efficient performance and attendance reports, minimizes recording errors and tampering, automates Daily Time Records (DTR) generation, and facilitates intensive attendance management. The methodological approach follows the Agile Scrum model and involves Initialization, Planning and Estimating, Implementation, Review, and Releasing phases, ensuring a systematic and efficient development process. Key highlights include the evaluation process with an overall score of 3.00, indicating the project's feasibility and excellence. In conclusion, Project FRaDA offers a practical and efficient solution for attendance management and employee evaluation, addressing the limitations of traditional methods and meeting the institution's needs.

App Sheet for Course Attendance Monitoring in Higher Learning Institutions: A Citizen Developer Approach

App Sheet for Course Attendance Monitoring in Higher Learning Institutions: A Citizen Developer Approach

A Parent Authentication System for the Security of Pre-basic School Pupils

The safety of pupils is of uttermost concern to school authorities and especially parents in this age of rampant kidnappings and other malicious activities by unscrupulous people within the human ecosystem. In this paper, a robust security system, referred to as a Parent Authentication System (PAS) is designed and implemented using bi-modal authentication and/or verification mechanisms for the safety of Pre-Basic School pupils. The primary module for authentication and verification is Fingerprint (i.e. biometrics) with an alternative module of a Password which, can only be used if the primary module fails or rejects the biometrics of a particular user. The Agile System Development Life Cycle Prototyping model was leveraged to design the system; all key components responsible for the functioning of the system have been appropriately implemented and integrated resulting in a very successful and robust system. The developed system was deployed and tested at Garu Senior High School in the Upper East Region of Ghana. During the test implementation, It was affirmed that students with issues such as scratches and dirt on their fingers were denied access and were not able to be authenticated and verified. However, after three attempts via this primary authentication module, they were able to use the alternative module, which gave them the opportunity to be authenticated and verified. As a result, a full implementation of this system will make sure only rightful parents pick up their wards from school. This system can also be deployed in other areas for attendance monitoring or personality tracking.

Iris Detection for Attendance Monitoring in Educational Institutes Amidst a Pandemic: A Machine Learning Approach

Iris Detection for Attendance Monitoring in Educational Institutes Amidst a Pandemic: A Machine Learning Approach

SISTEM INFORMASI MONITORING KEGIATAN ABSENSI SISWA DENGAN NOTIFIKASI WHATSAPP

This study focuses on Student Attendance Monitoring Information Systems with WhatsApp Notifications using the Waterfall method. Is a system designed to assist teachers and parents in monitoring student attendance effectively and in real-time. This system will send notifications via the WhatsApp application every time there is a lesson. Because there is still cheating or errors on the part of both students and teachers who are wrong in marking student attendance and the use of conventional attendance systems that are inefficient in terms of managing and controlling student attendance data. The Waterfall method was chosen because it is in accordance with a structured and gradual system development process. This method involves stages such as planning, analysis, design, implementation, and testing. In the planning stage will determine the needs and specifications of the system. The analysis phase will evaluate requirements and specifications to ensure that the system meets user requirements. The design phase will determine how the system will look and function. The implementation phase will execute the design and build the actual system. The testing phase will ensure that the system functions properly and meets specifications. From the results of the research, a Student Absenteeism Monitoring Information System with WhatsApp Notifications was created using the Waterfall method which can assist teachers and parents in monitoring student attendance effectively and in real-time. This system will simplify communication and make more informed and accurate decisions. This system can help in increasing student attendance, helping teachers and parents to work together in minimizing student absence.

Pembuatan Aplikasi Absensi Berbasis Flutter untuk Meningkatkan Efisiensi Monitoring Kehadiran

This journal discusses the creation of a Flutter-based attendance application that aims to increase efficiency in monitoring attendance on campus. The presence of students in each lecture session has an important role in the learning process and academic management. However, traditional attendance systems are often prone to errors, difficult to track data, and less efficient in gathering information. In this study, the authors designed and developed an attendance application using the Flutter framework, which allows applications to run cross-platform (multi- platform). This application is designed to make it easier for students and lecturers in the process of recording attendance with features such as using QR codes, face identification, or manual options. In addition, this application is also equipped with an administrative dashboard for lecturers and staff to monitor student attendance in real- time. The development method includes designing an intuitive and responsive user interface, implementing a data security system, and integrating with the campus database system. The results of application testing show increased efficiency in attendance monitoring, reduction of recording errors, and easy access to digital attendance data. It is hoped that this application can make a positive contribution in managing attendance on campus and encourage the application of modern technology in the academic process.

The Application of LoRa Module and Smart Card for A Large-Scale Area Attendance Monitoring System

The Application of LoRa Module and Smart Card for A Large-Scale Area Attendance Monitoring System

Analysis of Sindh School Monitoring System Smartphone App of Government Schools of Sindh

The attendance of employees is crucial in both public and private organizations as it indicates their dedication. In the schools of Government of Sindh the monitoring of attendance of teachers has become increasingly challenging, for that, the Government of Sindh has introduced an android based smart phone app called the Sindh School Monitoring Management System (SSMS app) in April 2016 to collect, analyze and disseminate the real-time data regarding school, teachers and students. The app was implemented in 15 districts in the first phase and has since been expanded to cover the entire province, resulting in improved teachers attendance, education quality and school monitoring at government schools. Previously, attendance was tracked manually, which was not secured and had flaws such as teachers not adhering to policy for signature, timing and signing in advance. While the SSMS app has improved the performance, it still faces implementation and design challenges. This research examines the SSMS app in detail, highlighting its weaknesses and aiming to improve its efficiency through a questionnaire designed with input from experts. An analysis is presented based on the feedback of monitoring assistants (MAs) on the indicators such as teacher’s attendance, punctuality, multi modal representation of SSMS, monitoring, data collection, data loading, data fetching.

IoT Security Solutions for Students’ Laboratory with RFID-based Attendance Authentication

The study aims to secure computer laboratories coupled with smart and automated attendance monitoring. It was designed at Isabela State University Cauayan City Campus, specifically at the Computer Laboratory of the College of Computing Studies Information and Communication Technology. The system is web-based and it can be utilized on any OS platform by specifying the IP Address through a web browser. Its function is a complete user interface for its target user's attendance monitoring and management where it can record teachers’ and students’ attendance, classroom entry logs, and calculation of tardiness and absences. It has the capability to retain current and previous records which could be used for future educational reference, entry log history, or for security references. The factor of acceptability as to technical support and processes of the system gained a general weighted mean of 4.35 (sd=.490) which means there is an evaluator's agreement with the functionality of the developed system based on ISO 25010 standards. The system does not physically identify the user but will only be registered in the database through scanning of the RFID tag. Furthermore, in order to achieve the objectives, The system used Php and its MySQL Local Database as its application software. Hardware components include RFID Reader and RFID Card Communication, and Arduino Uno to control Solenoid lock devices, providing security and restriction in every Computer Laboratory room.
 Keywords: Internet of Things, IoT-based Security Solution, Attendance Monitoring, Smart Laboratory

Enhanced Attendance Monitoring: Utilizing QR Code for Online Attendance with Laravel Framework and SMS Notification

This paper presents an attendance monitoring system that utilizes QR codes for online tracking. Developed on the Laravel framework, the system offers an efficient and user-friendly solution for attendance management. By scanning QR codes, students can easily check-in, eliminating manual roll calls. The system also includes SMS notifications for prompt attendance status updates. Thorough testing ensures system functionality and security. Overall, this system represents a significant advancement in attendance tracking, enhancing efficiency and communication for students, instructors, and administrators

Face Recognition-Based Attendance System for Education Institute

Facial recognition technology is a crucial aspect of human identification, making it an ideal solution for attendance monitoring in educational institutions.[2] Traditional methods of attendance taking, such as roll calls and sign-in sheets, have proven to be time-consuming and inefficient. Consequently, there is a pressing need to enhance and upgrade the current attendance system to be more user-friendly and effective. This project aims to develop a face recognition-based attendance monitoring system that overcomes the limitations of the existing system. The current system suffers from ambiguity, leading to inaccuracies and inefficiencies in attendance tracking. Furthermore, it faces challenges in enforcing attendance regulations. By utilizing face recognition technology, which leverages the unique and difficult-to-duplicate characteristics of the human face, this project aims to address these issues. The system scans the faces of newly admitted students, capturing sample images (up to 100 samples per student), which are stored for training the model to ensure accurate predictions. During attendance sessions, the student's face is compared against the stored images to verify their identity. Once identified, the system automatically records the attendance by saving the necessary information, including the attendance status, in an Excel sheet. At the end of each day, the attendance information for all individuals is compiled into an Excel sheet and emailed to the respective faculty. This paper provides insights into the functionality and implementation of this project in educational institutes, showcasing its potential to revolutionize the attendance management system