Welcome to the InfoSci Platform
Algorithmic Analysis of Automatic Attendance System Using Facial Recognition: A Revolutionary Approach for Future Education

Algorithmic Analysis of Automatic Attendance System Using Facial Recognition: A Revolutionary Approach for Future Education

Rohit Rastogi, Abhinav Tyagi, Himanshu Upadhyay, Devendra Singh
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 19
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781683180890|DOI: 10.4018/IJDSST.286688
Cite Article Cite Article

MLA

Rastogi, Rohit, et al. "Algorithmic Analysis of Automatic Attendance System Using Facial Recognition: A Revolutionary Approach for Future Education." IJDSST vol.14, no.1 2022: pp.1-19. http://doi.org/10.4018/IJDSST.286688

APA

Rastogi, R., Tyagi, A., Upadhyay, H., & Singh, D. (2022). Algorithmic Analysis of Automatic Attendance System Using Facial Recognition: A Revolutionary Approach for Future Education. International Journal of Decision Support System Technology (IJDSST), 14(1), 1-19. http://doi.org/10.4018/IJDSST.286688

Chicago

Rastogi, Rohit, et al. "Algorithmic Analysis of Automatic Attendance System Using Facial Recognition: A Revolutionary Approach for Future Education," International Journal of Decision Support System Technology (IJDSST) 14, no.1: 1-19. http://doi.org/10.4018/IJDSST.286688

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Attendance management can become a tedious task for teachers if it is performed manually. This problem can be solved with the help of an automatic attendance management system. But validation is one of the main issues in the system. Generally, biometrics are used in the smart automatic attendance system. Managing attendance with the help of face recognition is one of the biometric methods with better efficiency as compared to others. Smart attendance with the help of instant face recognition is a real-life solution that helps in handling daily life activities and maintaining a student attendance system. Face recognition-based attendance system uses face biometrics which is based on high resolution monitor video and other technologies to recognize the face of the student. In project, the system will be able to find and recognize human faces fast and accurately with the help of images or videos that will be captured through a surveillance camera. It will convert the frames of the video into images so that the system can easily search that image in the attendance database.