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Journal articles on the topic 'Attendance system'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Shingane, Sejal, Swanandi Raut, Gauri Kadam, Trupti Bhagat, Mitali Pawar, and Utkarsha Chuke. "Smart student attendance system." International Journal of Research Publication and Reviews 6, no. 4 (2025): 10894–900. https://doi.org/10.55248/gengpi.6.0425.16150.

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2

Kavitha Soppari, Minnu Sri Thumnoori, Sumanth Gangalam, and Dheeraj Kumar Raju Batraju. "QR Code attendance deputation system." World Journal of Advanced Research and Reviews 25, no. 1 (2025): 1949–55. https://doi.org/10.30574/wjarr.2025.25.1.0103.

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Traditional attendance systems can be time- consuming, prone to errors, and susceptible to proxy Atten- dances, where individuals falsely mark their presence in place of others. The” QR Code Attendance System” is a fast, efficient, and user-friendly solution for tracking attendance through QR codes, specifically designed to address these challenges. By leveraging web-based technology, it automates and streamlines the attendance process, significantly reducing the likelihood of attendance manipulation. Built with HTML, CSS, and Django, the system offers a seamless, real-time interface for marki

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3

B. Rivera, Ronald. "Enhanced Attendance Monitoring System using Biometric Fingerprint Recognition." International Journal of Recent Technology and Engineering 9, no. 5 (2021): 1–4. http://dx.doi.org/10.35940/ijrte.e5070.019521.

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In this study, an enhanced attendance monitoring system using biometric fingerprint recognition in tracking and monitoring employees’ attendances for Callang National High School, District 04, San Manuel, Isabela was introduced. For most organizations, handling people is a daunting job in which it is very important to maintain an accurate record of attendance. Taking and maintaining the attendance of employee manually on a regular basis is a big activity that requires time. For this reason an effective system was designed. The system was designed and developed primarily to improve the monitori

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Danishkumar, S., and R. S. Sanmathipriya. "Attendance System Based on Biometric Security." Applied Mechanics and Materials 229-231 (November 2012): 2789–92. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.2789.

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The goal of Finger Print Based Attendance system is to take attendance of the student in a faster and efficient way. The attendance has been taken by calling out students name in the class which will be time consuming. After taking attendance the list will be sent to the department. Its ability is to uniquely identify each person based on their FINGER PRINT reader. In real time application capability of taking attendances will be more accurate by using Finger Print. Using an USB port or MAX 232 an attendance will be stored inside the database. Using an 8051 microcontroller data can be transfer

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Ronald, B. Rivera. "Enhanced Attendance Monitoring System using Biometric Fingerprint Recognition." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 5 (2021): 1–4. https://doi.org/10.35940/ijrte.E5070.019521.

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<strong>Abstract:</strong> In this study, an enhanced attendance monitoring system using biometric fingerprint recognition in tracking and monitoring employees’ attendances for Callang National High School, District 04, San Manuel, Isabela was introduced. For most organizations, handling people is a daunting job in which it is very important to maintain an accurate record of attendance. Taking and maintaining the attendance of employee manually on a regular basis is a big activity that requires time. For this reason an effective system was designed. The system was designed and developed

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Aishwarya, T. G., Veena N, and Pallerla Asritha. "Face Recognition Attendance Management System." International Journal of Research Publication and Reviews 6, no. 5 (2025): 11049–52. https://doi.org/10.55248/gengpi.6.0525.1888.

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7

Nurfaizi, Kelfin, and Djarot Hindarto. "Web-Based Student Internship Attendance Application System for Effective Student Attendance Monitoring." International Journal Software Engineering and Computer Science (IJSECS) 3, no. 3 (2023): 238–45. http://dx.doi.org/10.35870/ijsecs.v3i3.1760.

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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 effortle

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Kolte, Prof Roshan R. "Students Attendances System Using Face Recognition." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (2021): 851–56. http://dx.doi.org/10.22214/ijraset.2021.39392.

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Abstract: Now a days we are living in this world where everything is automated and linked online. Internet are the things discover and it is used all over a world very beneficially.in human body face is the crucial factor for identifying each person. It can be identified by using different method like biometric for taking attendance. But in this method many more time are required to take attendance and also people are in contact with each other while marking their attendance in this pandemic situation we are introducing new technology student attendance system using face reorganization. Genera

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Y., Joshna, Meera Alphy Dr., and K.Shirisha. "Attendance Record Management System." Recent Trends in Androids and IOS Applications 6, no. 3 (2024): 17–23. https://doi.org/10.5281/zenodo.12780613.

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<em>The Student Attendance Real-time project is a software system designed to streamline and enhance the process of attendance management within educational institutions. This addresses the challenges associated with manual attendance tracking by introducing a user-friendly and efficient solution. The system automates the process of recording student attendance on a daily basis, reducing the burden on teachers and minimizing errors. The proposed system calculates the daily attendance percentage for each student in real-time. Alerts are triggered for students with attendance falling below a pre

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10

Kurian, Belvin, and Felix M. Philip. "Face Attendance System." YMER Digital 21, no. 05 (2022): 878–82. http://dx.doi.org/10.37896/ymer21.05/99.

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Attendances are taken in every school and college. The convention attendance system consists of registers marked by teachers which may lead to human error and a lot of maintenance. The system proposed in this study is to deviate from such a traditional system and introduce a new approach to taking attendance using image processing. The system uses a Histogram of Oriented Gradients (HOG) and python libraries such as OpenCV, Dlib, and NumPy. As a human, the brain automatically recognizes a face instantly, but the computer is not capable of this high-level generalization. The system automatically

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R.S., Dr Sabeenian. "Attendance Authentication System Using Face Recognition." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (2020): 1235–48. http://dx.doi.org/10.5373/jardcs/v12sp4/20201599.

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12

Aung, Dr Zaw Win. "Automatic Attendance System Using Speaker Recognition." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 802–6. http://dx.doi.org/10.31142/ijtsrd18763.

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S, Pradeep Kumar M., Dr K. Suresh, and Indumati T. Kishor kumar R. "Smart Attendance System using Raspberry Pi." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (2017): 514–18. http://dx.doi.org/10.31142/ijtsrd2306.

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Kanth, Pooja L., and Salva Biswal. "Attendance Marking System Using Face Recognition." Indian Journal of Science and Technology 12, no. 48 (2019): 1–3. http://dx.doi.org/10.17485/ijst/2019/v12i48/145821.

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O. Amora, Epifelward Niño, Kennery V. Romero, Rennan C. Amoguis, Evangeline N. Olandria, and Joseph James Olavides. "OJT AtTRACK – On the Job Trainee Remote Attendance Monitoring System using Face Recognition System." International Multidisciplinary Research Journal 4, no. 2 (2022): 245–50. http://dx.doi.org/10.54476/6376954.

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The checking and monitoring of On-the-Job Trainee’s Attendance (OJT) faced several problems in the end of the OJT coordinators and the home institution. Some of the problems are checking the attendance of the OJT validation and verification of students’ attendance, tracking the students’ real-time OJT progress and generating up to date reports. It becomes even very alarming when the OJT Coordinators lost track the students’ OJT progress. This study sought to investigate and implement a solution using technology innovation mainly the internet of things to make checking of attendance and monitor

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Amuthabala, K. "Automated Attendance System." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (2019): 485–88. http://dx.doi.org/10.22214/ijraset.2019.3085.

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P. Khandait, Dr S., Tanaji Dhage, Akash Jadhav, Nagesh Kadam, and Akash Panchal. "SMART ATTENDANCE SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem39404.

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In today’s society, as a first step, any organization that r elies on people must hold its employees accountable. T herefore, creating and maintaining proper management requires a lot of money from different organizations. In many countries, government agencies and schools use tr anscripts to track attendance. For example, take the tim e to call out the names of each student at the beginning of the lesson to track their attendance. Incorrect markin gs, missing names on presentations, manually entering i nformation into the system, and the possibility of a repr esentative attending are addition

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Memon, Tarique Rafique, Asad Perwaiz, Altaf Hussain, and Muneeb Ahmed. "Biometric Attendance System." Journal of Applied Engineering & Technology (JAET) 2, no. 2 (2018): 44–48. http://dx.doi.org/10.55447/jaet.02.02.48.

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Every organization whether it be an educational institute or business organization, it has to maintain a proper record for attendance of student or employees for better functioning of organization. The manual attendance system is timing consuming and difficult to maintain for record purpose and to check the record of employees or students. To overcome this problem we have developed a biometric attendance system, in which fingerprint of employees is used for attendance purpose. This would improve accuracy of attendance records and save valuable time.

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Porwal, Yashi, and Deependra Rastogi. "Smart Attendance System." International Journal of Computer Science and Engineering 7, no. 6 (2020): 13–16. http://dx.doi.org/10.14445/23488387/ijcse-v7i6p104.

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Khadepatil, Atharva, Ojas Balge, Atit Kilawat, Harshal Goulkar, and Prof Tabassum Khan. "Auto Attendance System." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 1284–88. http://dx.doi.org/10.22214/ijraset.2022.48168.

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Abstract: The goal of this study is to develop a computerized attendance system that tracks attendance and recognises users using facial recognition. The goal of the technique is to hold decision-makers, including administrators, more accountable for maintaining an educational institution's attendance. Our aim is to minimise human contacts while collecting attendance, not to completely remove them. When done manually, this procedure is laborious, time-consuming, and requires supplies like paper. The application of modern a step toward a prosperous and well-managed future in the industry whose

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Dongare, Sanjana. "Smart Attendance System." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 1609–14. http://dx.doi.org/10.22214/ijraset.2024.59128.

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Abstract: The combination of Electronics Engineering and Information Technology is played a significant roles in developing several aspects in academics such has in students attendance monitoring. Taking attendance manually often time consuming process which also increased mistakes and false in the attendance so overcome this situation we make this project Smart Attendance System. In this project, we will learn how to build IOT based Smart Attendance System using NodeMCU ESP8266 12E, OLED Display and Finger print module R608. we have also created database to register the student fingerprint in

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22

Singh,, Seependra. "BIOMETRIC ATTENDANCE SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35127.

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This paper presents a biometric fingerprint attendance system designed to enhance accuracy, security, and efficiency in attendance tracking. The system utilizes fingerprint recognition technology for data acquisition, preprocessing, feature extraction, and matching. Key challenges, including data privacy and security, are addressed with robust solutions. Comprehensive testing demonstrates the system's effectiveness in reducing time theft and improving employee accountability. The findings highlight the potential of biometric systems to revolutionize attendance management, suggesting avenues fo

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Vismitha, P. Y. "ATTENDANCE MANAGEMENT SYSTEM." International Journal of Computer Science and Information Technology Research 10, no. 3 (2022): 1–4. https://doi.org/10.5281/zenodo.6790165.

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<strong>Abstract:</strong> Attendance of every student is important irrespective of the fact that the student has attended a particular session or not . Many automatic systems through which attendance can be recorded have been available such as fingerprint scanner, retina scanner, individual person taking attendance which is the manual method, etc. But the present times are a situation of pandemic caused to COVID - 19.  Most of these methods are time-consuming and have expensive instruments to handle it. Also, they occupy a certain amount of storage space in the system which may be diffic

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N.S.V.R.K, Bharat, Drakshayani Sreya R., and Uttam Mande Dr. "QR-Attendance System." International Journal of Innovative Science and Research Technology 7, no. 12 (2022): 1–5. https://doi.org/10.5281/zenodo.7425819.

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Student attendance system end in reducing the trouble in taking the class attendance. The former systems were time taking and high possibility in errors. The Ideal propose and usage of this system, is grounded to digital app. To ensure that the student attended to the classes, QR code is limited for a certain time and displayed at speaker donation. The pupil only demanded to overlook the projected QR using his/ her digital device or smartphone. The encrypted QR was also sent to the main server for storing attendance and continuing its process. The proposed work was designed and executed using

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Akshay, Pandharbale*1 Komal Yadav2 Sneha Dakare3 &. Akshay Bhosale4. "PORTABLE ATTENDANCE SYSTEM." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 6, no. 2 (2019): 214–22. https://doi.org/10.5281/zenodo.2579396.

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The attendance in schools or colleges is generally recorded in academic diary by the teacher at the end of the lecture while doing so valuable time is wasted. Also, it is tedious to maintain the academic diary. In this paper, we have proposed a portable student attendance system. The portable system is going to have a fingerprint module, Arduino mega 2560, LCD, keypad and a rechargeable battery and a SD card. This portable system will be circulated among students during the lecture. Students will place their finger on fingerprint module to mark the attendance. This system will help to save pap

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Maddheshiya, Khushi. "Facial Attendance System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47282.

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Abstract : Current attendance systems often face issues like proxy attendance, time consumption, and data manipulation, leading to inaccuracies and inefficiencies. "Facial Attendance Management System Using Python" provides an in-depth analysis of the facial attendance management system, which offers the best statistics and accuracy in identifying individuals, enhancing efficiency, and ensuring secure and reliable attendance tracking. It is an automated solution that utilizes Python and its libraries for marking real-time attendance using facial recognition technology. This approach replaces t

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.AKILESHWARAN, Mr B. "ATTENDANCE MONITORING SYSTEM." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–9. https://doi.org/10.55041/isjem03559.

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Abstract - The Attendance Monitoring System is a user- friendly and efficient platform developed to simplify attendance tracking and management in educational institutions. Built using Flutter for the frontend, Firebase as the backend, and Dart as the core programming language, the system ensures real-time updates, secure data storage, and smooth user interactions. It incorporates role-based access control, allowing students to view attendance records and percentages, staff to mark and manage attendance for specific departments and sections, and administrators to oversee the system's overall p

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PROF, ANIL PATIL, BELDAR GIRIJA, GADEKAR BHAGYASHRI, GUND RAJANEE, GUND SHITAL, and KHYADE PRIYANKA. "SMART ATTENDANCE SYSTEM." JournalNX - A Multidisciplinary Peer Reviewed Journal NCMTEE-2K17 (October 12, 2018): 45–46. https://doi.org/10.5281/zenodo.1460440.

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Managing the attendance using traditional approach is really a cumbersome process. The person has to maintain the attendance record in registers and file using pen and paper. -The problem with this approach is that it requires lots of paper which are the part of our nonrenewable natural resources. -We are in the age, where we have to think about sustainable development. -Managing the attendance using mobile phones, provide an alternative way in this direction. -The mobile application we have attempted to build will require connecting to the internet through WiFi (Wireless Fidelity) technology

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Ritik, Kumar Singh, Sengupta Himicka, Kar Amitava, Mondal Anish, Ray Champak, and Anindita Mukherjee Dr. "Facetrack Attendance System." Research and Applications of Web Development and Design 7, no. 2 (2024): 29–38. https://doi.org/10.5281/zenodo.11471465.

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<em>This study is about making a face recognition attendance system using Python that's easy for anyone to use. We made a simple interface with clear instructions. When users open it, they can upload their picture. The system then checks if their face matches any in the database and marks them present if it does. It also keeps attendance records.</em> <em>In summary, we've shown that it's possible to make a user-friendly face recognition attendance system with Python. Our system has a simple interface and uses strong libraries like OpenCV and face recognition, making it easy to use and set up.

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Yechuri, Dr Praveen Kumar, and Rajesh Yamparala. "Web Based Attendance Capturing System Using Semantic Segmentation." International Journal of Innovation in Multidisciplinary Scientific Research 02, no. 01 (2024): 30–35. http://dx.doi.org/10.61239/ijimsr.2024.2114.

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Now a days taking of attendance has been a critical factors which is why the technological advancement have been getting larger the security features will indeed play a crucial part to minimise the fraudulent activity of modern trend in face recognition in conversely to further enrolment system framework like palmprint participation, iris participation capturing, log books attendance and the palm-based attendance etc has the supremacy in interaction free manner and currently it plays a key role in the pre-eminent technologies in enlargement. regardless of the fact that there are numerous atten

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S.Belli, Rahul. "Face Detection Management System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45320.

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Abstract- In colleges, universities, organizations, schools, and offices, taking attendance is one of the most important tasks that must be done on a daily basis .The majiority of the time ,it is done manually, such as by calling by name or by roll number. The main goal of this project is to create a Face Recognition based attendance system that will trun this manual process into an automated one. This project meets the requirements for bringing modernization to the way attendace is handled, as well as the criteria for time management. This device is installed in the classroom, where and stude

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VB, Chaitanya Krishna, Bhaskar Reddy PV, Chethan Kumar A, Salman Ahmed, and Sampath M. "Face Recognition Based Attendance Management System using DLIB." International Journal of Engineering and Advanced Technology 8, no. 5s (2019): 57–61. http://dx.doi.org/10.35940/ijeat.e1012.0585s19.

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Real time face recognition technology has become a prominent tool for addressing solutions to many complex problems. Such as identification and the verification of identity. Face recognition technology also addresses the time consumption issue that arises in other biometric systems. Taking Attendances manually is always a monotonous job and it additionally consumes heap of our time. The prevailing biometric attendances wastes a great deal of our time and these systems can be cheated easily. In our proposed system the attendance is recorded by using a camera that is attached in front of classro

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Kumar, Dr R. G. Suresh. "Smart Attendance Verification System: Smart Attendance, Smarter Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2738–45. https://doi.org/10.22214/ijraset.2025.70709.

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Artificial Intelligence (AI) enhances attendance monitoring by using facial recognition to automatically identify student in online classes, ensuring accurate and real-time attendance tracking. AI also support continuous monitoring with periodic check and strengthens communication with parents by providing timely updates on student attendance and performance. Additionally, it ensures data privacy with encryption and adaptive algorithms to adjust to varying conditions. The existing attendance system uses facial recognition to capture student image at the start and end of a session to record att

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Ashok, S. H. V. K., N. Dishni Divya, Fredrick Samuel, and Dr Uttam Mande. "RFID Based Attendance System." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 2239–48. http://dx.doi.org/10.22214/ijraset.2022.48092.

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Abstract: Most educational institutions administrators are concerned about student irregular attendance. Truancies can affect student overall academic performance. The conventional method of taking attendance by calling names or signing on paper is very time consuming and insecure, hence inefficient. Radio Frequency Identification (RFID) based attendance system is one of the solutions to address this problem. This system can be used to take attendance for student in school, college, and university. It also can be used to take attendance for workers in working places. Its ability to uniquely id

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Shamila, M., Bhanu Prakash, Asrar Ahmed, Poshak Prajeet, and Ruby Pant. "Smart Attendance Automation System." E3S Web of Conferences 430 (2023): 01019. http://dx.doi.org/10.1051/e3sconf/202343001019.

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The smart attendance marking system, which is based on face recognition technology, is a modern solution that may aid in the automation of the attendance management process in a variety of organizations, including schools, colleges, and corporations. Using facial recognition technology, the research team hopes to create an efficient system for tracking and recording attendance. The system will be developed by gathering and analysing data in order to construct a database of faces that will be used to train deep learning algorithms to recognise faces effectively. Compared to traditional attendan

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R., Prithiviraj. "Automated Attendance System based on Facial Recognition." Journal of Advanced Research in Dynamical and Control Systems 24, no. 4 (2020): 124–32. http://dx.doi.org/10.5373/jardcs/v12i4/20201425.

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Survase, Ritesh D., Sharad S. Soma, and Girish H. Watte Mr Jatin M. Patil. "Android based Digital Attendance System using GSM." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 2154–57. http://dx.doi.org/10.31142/ijtsrd11656.

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Chitkara M Shobana, Naman. "Attendance Management System Based on Facial Recognition." International Journal of Science and Research (IJSR) 12, no. 4 (2023): 1642–46. http://dx.doi.org/10.21275/sr23425205107.

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Siddhi, Ms Mulik, Ms Wani Aasavari, Ms Taware Priya, and Ms Snehal Sabale. "SMART ATTENDANCE SYSTEM USING FACIAL RECOGNIZA - ION." International Journal of Research Publication and Reviews 5, no. 4 (2024): 5996–6004. http://dx.doi.org/10.55248/gengpi.5.0424.1078.

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Dagade, Om, Tejas Janjire, Sai Jagdale, and Sanika Jawanjal. "Face Recognition Attendance Monitoring System." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 1598–601. http://dx.doi.org/10.22214/ijraset.2023.56266.

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Abstract: As we know attendance is the crucial part in colleges, schools, corporate offices etc. Attendance plays an important role for keeping track of student’s record. Mostly attendance is taken manually in most of the colleges and schools. The manual attendance process involves taking attendance by calling the name or by signing the attendance sheet. This manual process is very time consuming and it is difficult to maintain the attendance record. Due to this drawback of manual attendance system, there is a need of automated attendance system. Here facial recognition plays an important part

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Gujarathi, Yashaswini, Katakam Krishna Chaitanya, Pallavi Bhramarautu, and Mosheck Menta. "QR BASED ATTENDANCE SYSTEM." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 9, no. 3 (2018): 1308–11. http://dx.doi.org/10.61841/turcomat.v9i3.14474.

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In higher education institutions, student participation in the classroom is directly related to their academic performance. However, the majority of student attendance registration is still conventionally done, which is tedious and time-consuming, especially for those courses that involve large numbers of students. Over the years, attendance management has been conducted manually at most of the universities. To overcome the manual attendance issues, we proposed and implemented a smart attendance system with the aim to encourage the potential use of the Quick Response (QR) code as a future atte

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HARIDAS, ADITHYA, AJMAL PA AJMAL PA, and ARJUN K. "AUTOMATIC ATTENDANCE MANAGEMENT SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44256.

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Traditional attendance management systems are often time-consuming, prone to errors, and susceptible to proxy attendance. To address these challenges, an Automatic Attendance Management System using Face Recognition is proposed. This system leverages computer vision and deep learning techniques to automate the attendance process in educational institutions, workplaces, and other environments. The system captures real-time images of individuals, processes them using a face recognition algorithm, and matches them with stored database records for identity verification. Upon successful recognition

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Kapoor, Anuj, yush Bhardwaj, Utkarsh Patel, Dr Rajesh Singh, and Ms Vaishali Malik. "Video based Attendance System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 2353–57. http://dx.doi.org/10.22214/ijraset.2022.42835.

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Abstract: Attendance management done manually in college is difficult to work with. To automate the attendance system, there are many technologies available that are costly and you have to touch the pad every time you come to the class which makes it coronavirus prone. Hence, to overcome this problem we have built a computer-based smart video attendance management system. Attendance is an important aspect of every organization or institution to confirm the presence. Some of the manual and automatic attendance systems are, entry by pen or paper, Fingerprint-based, IRIS-based, RFID-based, and fa

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Bhagat, Shrey. "Face Recognition Attendance System." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 280–83. http://dx.doi.org/10.22214/ijraset.2022.39702.

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Abstract: Face recognition systems are used in practically every industry in this digital age. One of the most widely utilized biometrics is face recognition. It can be used for security, authentication, and identity, among other things. Despite its low accuracy relative to iris and fingerprint identification, it is extensively utilized because it is a contactless and non-invasive technique. Face recognition systems can also be used to track attendance in schools, colleges, and companies. Because the existing manual attendance system is time consuming and difficult to maintain, this system int

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patel, Kartik. "NFC based Attendance System." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (2018): 2478–80. http://dx.doi.org/10.22214/ijraset.2018.4420.

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Pandey, Preeti, and D. John Arvindhar. "Smart System for Attendance." International Journal of Innovative Research in Applied Sciences and Engineering 3, no. 12 (2020): 587. http://dx.doi.org/10.29027/ijirase.v3.i12.2020.587-592.

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Krishnamurthi, Karthik, S. Irudaya Mary, Sumalatha B. N., and Adler Pereira. "Fingerprint Based Attendance System." IJARCCE 4, no. 3 (2015): 621–23. http://dx.doi.org/10.17148/ijarcce.2015.43149.

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Yahaya, M. M. "FINGERPRINTBASED ATTENDANCE MANAGEMENT SYSTEM." International Journal of Advanced Research in Computer Science 13, no. 1 (2020): 7–10. http://dx.doi.org/10.26483/ijarcs.v13i1.6802.

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Goswami, Prof Manish. "Face Recognition Attendance System." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (2021): 1868–78. http://dx.doi.org/10.22214/ijraset.2021.34661.

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Mistri, Raj Kumar. "RFID based Attendance System." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (2018): 2237–41. http://dx.doi.org/10.22214/ijraset.2018.5364.

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