📞 +91-7667918914 | âœ‰ī¸ 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 8, ISSUE 4, APRIL 2019

E - Attendance System Using Opencv and CNN

Mr. Omkar Sawant, Mr.Yash Jain, Mr. Anand Kulkarni, Mr. Shubham Salunkhe, Prof. Mrs Shantiguru

DOI: 10.17148/IJARCCE.2019.8456

Abstract: In modern times, face recognition is the key aspect of computer vision. There are at least two reasons for this trend the first is the commercial software, and the second is the availability of practical technologies after years of research. Due to the very nature of the problem, computer scientists, neuro-scientists, and psychologists all share a keen interest in this field.  We proposed a system that is based on face detection and recognition algorithms, which automatically detects the student when he/she enters in the classroom and marks the attendance by recognizing him/her. This system is developed by capturing real-time human faces in the class. Finally, the absentee lists are displayed on android application for confirmation. This System can be used in Government Schools and Colleges to monitor and validate attendance. Keywords: Attendance, Opencv, CNN, Question Paper

How to Cite:

[1] Mr. Omkar Sawant, Mr.Yash Jain, Mr. Anand Kulkarni, Mr. Shubham Salunkhe, Prof. Mrs Shantiguru, “E - Attendance System Using Opencv and CNN,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2019.8456