Real-Time Smart Attendance System using Face Recognition Techniques

Sawhney, Shreyak; Kacker, K.; Jain, Samyak; Singh, Sanjiv; Garg, Rakesh

doi:10.1109/confluence.2019.8776934

Cited by 93 publications

(33 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nowadays, although there are still some non-biometric based authentication approaches [20], the latest attempts for online student authentication automation tends to use biometric technologies; facial [21] [22] [23] [24] [25] [26], fingerprints [27] or typing [28], [29]. On the other hand, some approaches try some combination of them, such as face and voice [30] or face, voice and typing [31] [32].…”

Section: B Scientific and Academic Approaches 1) Technical Workmentioning

confidence: 99%

Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology

Labayen

Vea²,

Flórez

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Identity verification and proctoring of online students are one of the key challenges to online learning today. Especially for online certification and accreditation, the training organizations need to verify that the online students who completed the learning process and received the academic credits are those who registered for the courses. Furthermore, they need to ensure that these students complete all the activities of online training without cheating or inappropriate behaviours. The COVID-19 pandemic has accelerated (abruptly in certain cases) the migration and implementation of online education strategies and consequently the need for safe mechanisms to authenticate and proctor online students. Nowadays, there are several technologies with different grades of automation. In this paper, we deeply describe a specific solution based on the authentication of different biometric technologies and an automatic proctoring system (system workflow as well as AI algorithms), which incorporates features to solve the main concerns in the market: highly scalable, automatic, affordable, with few hardware and software requirements for the user, reliable and passive for the student. Finally, the technological performance test of the large scale system, the usability-privacy perception survey of the user and their results are discussed in this work.

show abstract

Section: B Scientific and Academic Approaches 1) Technical Workmentioning

confidence: 99%

Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology

Labayen

Vea²,

Flórez

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Although, there are also contactless biometric system introduce by researchers, which is using face recognition. This method allows employees to scan their face to the special camera installed at the premises or by using CCTV and scanning the employee's face "in the wild", meaning the person does not have to pose to the scanner [10][11][12][13]. Although this method could solve the needs of contactless attendance issue, however this method required large data storage and high processing units as it need to store, recognize, and train the data of faces.…”

Section: Related Workmentioning

confidence: 99%

Contactless Attendance Method with Face Recognition, Body Temperature Measurement and GPS System Using Blockchain Technology

Azahari

Ahmad

Rahayu

2021

Advances in Electrical and Electronic Engineering and Computer Science

View full text Add to dashboard Cite

Most workplace is recording their employee's attendance via attendance system. The existing attendance systems include traditional method, punch card, QR Code, RFID and biometric. However, these methods require an employee's physical interaction directly with the system. Due to COVID-19 pandemic, any direct physical contact with the system should be avoided. Moreover, the existing attendance system platforms lack the security foundations upon which vulnerable to cyber threat, such as forge by irresponsible employees and unauthorized users. This paper aims to develop a contactless attendance system. The system is using face recognition and GPS location to record attendance with body temperature on blockchain technology.

show abstract

“…There is a huge surge in machine learning technology which gave rise to face recognition technology where companies are using face as a primary medium to authenticate an entity. From [2] and [6] it is clear that these devices analyze camera feed in frames and try to recognize the face and then match it with a user. There is a tremendous rise in using this type of technology for attendance marking system but the only issue is that the feed of classroom can have faces of let's say 40% from one feed of camera making it 40 students on an average.…”

Section: 3machine Learning Aka Face Recognitionmentioning

confidence: 99%

Quick Response (QR) Code based Attendance Marking System

Shah¹

2020

IJCA

View full text Add to dashboard Cite

Every classroom/lab/workshop has an attendance tracking system in them. Currently the ways in which one can take such attendance/presence marking is via manual calling of IDs (roll numbers in case of universities), fingerprint scanners or face detection mechanisms. But all these either require an infrastructure (scanners) or are too tedious. This paper puts forward a new technique of marking the attendance of students. It uses QR code mechanism, which is very common in payments and shipment tracking today, to mark attendance or presence. General TermsFaculty: The entity willing to register the attendance of students.Student: The entity to be marked attended/present at some place typically classroom, lab, workshops, and community sessions KeywordsAttendance decentralized QR-code on-demand-server

show abstract

Real-Time Smart Attendance System using Face Recognition Techniques

Cited by 93 publications

References 5 publications

Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology

Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology

Contactless Attendance Method with Face Recognition, Body Temperature Measurement and GPS System Using Blockchain Technology

Quick Response (QR) Code based Attendance Marking System

Contact Info

Product

Resources

About