Attendance Management System Using OpenCV

Srivastava, Pratyush; Nagraj, Nagraj; Singh, Khushi

doi:10.1109/icac3n53548.2021.9725755

Cited by 1 publication

(1 citation statement)

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“…In this project face detection is not software based we will do full analysis of face and with more and more accuracy to stop proxy and to increase accuracy so less and less overlap and it match in a loop also store a loop of image so that easily mark attendance and also able to do effective way and it also save time, as many software like this are available in our reach but the change is to make a unique product and I think at the end of this paper you all are able to understand the uniqueness of this project. Face the discovery of face shapes, shapes and angles in images with sophisticated and background lighting and that feeds look of the back face [5]. We use an automatic management attendance system to solve all of these problems.…”

Section: Introductionmentioning

confidence: 99%

Attendance management system using face recognition

Jadhav,

Kamble,

Rathod

et al. 2024

IJ-AI

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<p>Traditional attendance systems consist of registers marked by teachers, leading to human error and a lot of maintenance. Time consumption is a key point in this system. We wanted to revolutionize the digital tools available in today's time i.e., facial recognition. This project has revolutionized to overcome the problems of the traditional system. Face recognition and marking the present is our project. A database of all students in the class is kept in single folder, and attendance is marked if each student's face matches with one of the stored faces. Otherwise, the face is ignored and not marked for attendance. In our project, face detection (machine learning) is used.</p>

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Section: Introductionmentioning

confidence: 99%