CVUCAMS: Computer Vision Based Unobtrusive Classroom Attendance Management System

Gupta, Sujit Kumar; Ashwin, T. S.; Guddeti, Ram Mohana Reddy

doi:10.1109/icalt.2018.00131

Cited by 14 publications

(1 citation statement)

References 3 publications

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“…The present paper aims to propose a face recognition-based mobile automatic classroom attendance management system needing no extra equipment (Liying, & Yue, 2008;Gupta, Ashwin, & Reddy Guddeti, 2018). To this end, a filtering system based on Euclidean distances calculated by three face recognition techniques, namely Eigenfaces, Fisher-faces, and Local Binary Patterns, has been developed for face recognition (Mery, Mackenney, & Villalobos, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Face Recognition Based Attendance System Using Histogram of Oriented Gradients and Linear Support Vector Machine

Sanap,

Narwade,

Goge

et al. 2023

ejtas

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In the 21st century, modern technology is playing an important role in providing innovative on traditional challenges across various domains or sectors. One such challenging task is of daily attendance marking and tracking. Manual attendance requires efforts and it is time-consuming. Sometimes attendance cannot be mark due to human errors. Relying on voice, iris, or fingerprint recognition, increases the complexity and the hardware infrastructure of the system and also increases the cost. To effectively address such issues, we have developed a “Camera based Attendance System”. This system encompasses several crucial stages, including data entry, dataset of multiple people. It is an image-based face recognition system for marking attendance on the SQL database. It excels in detecting and recognizing multiple individuals faces from image and comparing it with the dataset for accurately marking the attendance. This makes the attendance marking process fully automatic. Remarkably, our proposed system attains an impressive recognition and provides the accuracy of approximately 95%. With this solution, daily attendance marking and recording becomes effortless and the stored attendance record can be also used in future if require, eliminating the risk of attendance not getting marked due to human error.

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Section: Literature Reviewmentioning

confidence: 99%