📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

AI Attendance Using Face Recognition System

Mohammad Shoeb Sheikh Mohammad Siddiki, Neehal B. Jiwane, Ashish B. Deharakr

DOI: 10.17148/IJARCCE.2022.115168

Abstract: For maintaining the discipline in the classroom and let students grasp there knowledge the attendance system was introduced every organization department school colleges where the student comes in the college the attendance is compulsory to see whether he or she is present in the classroom or absent in the classroom, and we can also see that the attendance taken by the teachers most of them uses the old technique as by calling the roll number and another is signing in the sheet of the paper this system makes the disturbance in the classroom, and it consumes a large time for calling the individual roll number and signing, In order to evolve this system many ideas come across in the mind, but our purpose of attendance is only through the face recognition system in the system the attendance will be marked automatically by recognizing the person facial features it can also be implemented in many fields where there is attendance and plays the vital role. The purpose of this paper is to recognize the person face and mark the attendance.

Keywords: Face Recognition, Face Detection, Haar-Cascade classifier, attendance system.

How to Cite:

[1] Mohammad Shoeb Sheikh Mohammad Siddiki, Neehal B. Jiwane, Ashish B. Deharakr, “AI Attendance Using Face Recognition System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.115168