Face Detection based Attendance System using Open CV Approach


Authors : V. Venkata Sai; Dr. G. Anuradha; D. Abhijith; A. Venkatesh

Volume/Issue : Volume 7 - 2022, Issue 11 - November

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3hSbWpg

DOI : https://doi.org/10.5281/zenodo.7332596

Attendance management has never been an easy task for college or hostel management. There are many problems while taking attendance. They can take attendance in a variety of ways like the teacher taking the attendance orally, fingerprint based attendance, sign based attendance system. But these are time-consuming and difficult-to-implement processes.Also there may be chance of fraudlent attendance in girl’s hostel. So, having a face-detection-based attendance system helps in these situations.This system uses LBPH (Local Binary Pattern Histogram) algorithm for training and detecting the images. The first task is to register the students and take their images. The second task is to train their images. The third task is to detect their faces and mark the attendance. As the face is used for taking attendance, this approach removes the possibility of fraudulent attendance.This system also reduces the paper work for storing the attendance

Keywords : Face Detection, Attendance Management, LBPH Algorithm, Tkinter, OpenCV

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