literature review of student attendance management system

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A Systematic Review of Attendance Systems Based on Face Recognition

PARIPEX INDIAN JOURNAL OF RESEARCH

In this digital era, face recognition system plays a vital role in almost every sector. Face recognition is one of the most implemented biometrics across various different fields. Classroom attendance check is a contributing factor to student participation and the final success in the courses. Every institute follows their own way for taking attendance.Some are taking attendance manually using papers or a register file or different biometric techniques. Taking attendance by calling out names or passing around an attendance sheet is time-consuming, and the latter is open to easy fraud.In this paper, the comparative analysis of various existing approaches on attendance management system based on facial recognition that are used to monitor attendance in various institutions using Fingerprint,GPS,RFID etc.is discussed with their limitations.

Related Papers

Hameedur Rahman

Verification is a main concern with computer-based systems. Face recognition is commonly often used in many applications like protection device and door lock. Universities, Colleges, schools and library attendance are compulsory for every student. Current attendance approach is lecturer calling the roll number and name of the student and then marking attendance on a paper. It’s waste of time for everyone. Verification of every student in a large class room is quite difficult. We use automated attendance management system to prevent such failures. The paper explains how to use facial recognition to mark student’s attendance. In our system introduce the attendance management system for face recognition. Our system will store student's face images into database and then mark automatically attendance of students after this save the result in database. The attendance will be stored according to date and time. There are five main point in this system :( 1) first of all student will lo...

Risanuri Hidayat

International Journal for Research in Applied Science & Engineering Technology (IJRASET)

IJRASET Publication

Out of the most common uses for image processing is face identification, which is important in the technological field. Recognizing faces is a hot issue for verification, especially in student attendance competitions. A face recognition attendance system uses high-definition surveillance and other computer technologies to identify students using face biostatistics. The developing system aims to digitize the outdated method of calling names and maintaining pen-and-paper attendance records. The existing procedures for recording attendance are cumbersome and time-consuming. Manual recording allows for easy manipulation of maintenance records. Traditional attendance systems and current biometric technologies are subject to proxies. As a result, this study is proposed to address all of these issues.

ITM Web of Conferences

dipti jadhav

Attendance marking in a classroom during a lecture is not only a onerous task but also a time consuming one at that. Due to an unusually high number of students present during the lecture there will always be a probability of proxy attendance(s).Attendance marking with conventional methods has been an area of challenge. The growing need of efficient and automatic techniques of marking attendance is a growing challenge in the area of face recognition. In recent years, the problem of automatic attendance marking has been widely addressed through the use of standard biometrics like fingerprint and Radio frequency Identification tags etc., However,these techniques lack the element of reliability. In this proposed project an automated attendance marking and management system is proposed by making use of face detection and recognition algorithms. Instead of using the conventional methods, this proposed system aims to develop an automated system that records the student’s attendance by usi...

Navesh Sallawar

Students attendance in the classroom is very important task and if taken manually wastes a lot of time. There are many automatic methods available for this purpose i.e. biometric attendance. All these methods also waste time because students have to make a queue to touch their thumb on the scanning device. This work describes the efficient algorithm that automatically marks the attendance without human intervention. This attendance is recorded by using a camera attached in front of classroom that is continuously capturing images of students, detect the faces in images and compare the detected faces with the database and mark the attendance. The paper review the related work in the field of attendance system then describes the system architecture, software algorithm and results.

Sahil Kohli

Face Recognition is an important branch of the biometric verification which is used widely for various applications. Some of these applications are human-computer interaction, video monitor system, automatic attendance system, door control systems, and network security. This paper attempts to describe Attendance system which integrates with technology of face recognition using Personal Component Analysis (PCA) algorithm. This system attempts to record the attendance of students in a classroom automatically and also provide advance options like maintaining a log for clock-in and clock-out time.

IRJET Journal

Face recognition is one the most productive and efficient real-time image processing application and has a very important role in the IT sector. Face recognition is used in many areas of the technical field, especially for the authentication of faces for attendance. Attendance using face recognition is a system that recognizes students by using facial features based on real-time face capturing and other technologies. The aim of this system is to digitize the traditional system of taking attendance which requires calling the names of each student and maintaining logs and registers. Current methods for taking attendance are time-consuming, difficult to maintain and can be easily manipulated by marking proxies, adding or removing attendance from the register, etc. Attendance systems such as fingerprint and RFID systems can also be manipulated by taking thumbprints and marking fake attendance using others' RFID chips or cards. This system is proposed to tackle all these problems and to create a safe and fast attendance system. In this system, the attendance of the students will be marked using the Face Detection and Face Recognition method. First, all the facial data of all the students are stored in a dataset and then at the time of marking attendance, the webcam will scan the realtime footage of the webcam for the face of students and then detect the face, after detecting face it will recognize the student based on the given data. After face recognition, it will mark the attendance of the student in the attendance sheet. This system is created using Haar-Cascade face detection algorithm and KNN algorithm and multiple faces can be recognized simultaneously for attendance.

Journal of Advanced Research in Dynamical and Control Systems

Remon Ahmed

The Oxford Dictionary defines a face because the a part of a man or woman's head from the brow to the chin. In human interactions, the face is the maximum giant issue as it incorporates vital facts approximately an person. All people will well known human beings from their faces. The proposed answer is to broaden an running prototype of a gadget that could facilitate elegance attendance control for the academics withinside the school rooms through detecting the faces of students from an photograph taken in a school room. The database can shop the faces of students, as soon as the face of the person fits with one in all of the faces held withinside the database then the attendance is recorded. In latest years, evaluation has been allotted and face reputation and detection structures are advanced. A wide variety of those are used on social media structures like Facebook, Banking apps, authorities offices, etc. In today's aggressive world, with very much less school room time and growing operating hours, teachers can also additionally want equipment that may assist them to manipulate treasured elegance hours efficiently. Instead of that specialize in teaching, teachers are caught with finishing a few formal duties, like taking attendance, keeping the attendance document of every scholar, etc. Manual attendance marking unnecessarily consumes school room time, while clever attendance via face reputation strategies enables in saving the school room time of the lecturer. Attendance marking via face reputation may be implied with inside the school room through shooting the photograph of the scholars with inside the school room thru the digital digicam installed.

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Attendance System via Internet of Things, Blockchain and Artificial Intelligence Technology: Literature Review

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• First Online: 15 March 2023
• Cite this conference paper

• Sarumi Usman Abidemi 10 ,
• Auwalu Saleh Mubarak 10 ,
• Olukayode Akanni 10 ,
• Zubaida Said Ameen 10 ,
• Diletta Cacciagrano 11 &
• Fadi Al-turjman 10 , 12  

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 655))

Included in the following conference series:

• International Conference on Advanced Information Networking and Applications

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Many researchers have make efforts on creating several attendance systems to keep track of student attendance in school which is also part of academic curriculum that will have great impact in student academic performance. There have been different technologies such as RFID, face recognition, biometric, web-based attendance system etc. To capture attendance in a way that’s better than the traditional method of pen and paper or roll call system. Making this attendance record available on blockchain network and applying artificial intelligence algorithm for prediction or classification in correlation with the data captured from student attendance purpose.

Several articles, papers and journals has been reviewed from different research plethora of research publishers’ database through internet such as Google scholar, IEEExplore, Springerslink etc. This will make it easy for comparing several attendance systems with respect to internet of things, blockchain and artificial intelligence to address the research gap in this aspect.

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“III. Online and Offline Verification Techniques”

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Artifiical Intelligence Engineering Department, AI and Robotics Institue, Near East University, Mersin 10, Nicosia, Turkey

Sarumi Usman Abidemi, Auwalu Saleh Mubarak, Olukayode Akanni, Zubaida Said Ameen & Fadi Al-turjman

Computer Science Division, School of Science and Technology, Camerino University, 62032, Camerino, Italy

Diletta Cacciagrano

Research Center for AI and IoT, Faculty of Engineering, University of Kyrenia, Mersin 10, Kyrenia, Turkey

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Abidemi, S.U., Mubarak, A.S., Akanni, O., Ameen, Z.S., Cacciagrano, D., Al-turjman, F. (2023). Attendance System via Internet of Things, Blockchain and Artificial Intelligence Technology: Literature Review. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-031-28694-0_30

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