International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 183 - Number 50 |
Year of Publication: 2022 |
Authors: Sonali Patil, Avdhoot Gaikwad, Chetana Baviskar, Shrawani Bartakke, Shubham Kulkarni |
10.5120/ijca2022921911 |
Sonali Patil, Avdhoot Gaikwad, Chetana Baviskar, Shrawani Bartakke, Shubham Kulkarni . Implementation of Attendance System using Face Recognition and PCA. International Journal of Computer Applications. 183, 50 ( Feb 2022), 54-57. DOI=10.5120/ijca2022921911
The prototype of an automated Online Biometric-enabled Class Attendance Register System is presented in this study (OBCARS). The technology is being planned and developed to address the problem of lost and/or shredded attendance record paper sheets in higher education classrooms. The system also seeks to provide a reliable and efficient class attendance tracking system that prevents students from imitating attendance markers and streamlines the calculation of students' attendance records. Both pragmatic biometric behaviourin contrast to previously poised data for a focus and an open-mindedness of computation are included in biometric appreciation. Estimated identical is required because to variances in biological features and deeds both within and among humans. It determines a student's attendance by their attendance in class. The technology willrecognize the student's face and save the response to the database automatically.