Paper Title : Smart Attendance Monitoring System Using Facial Recognition
ISSN : 2394-2231
Year of Publication : 2021
MLA Style: P. S. Ezekiel, O. E. Taylor, & F.B. Deedam-Okuchaba " Smart Attendance Monitoring System Using Facial Recognition " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: P. S. Ezekiel, O. E. Taylor, & F.B. Deedam-Okuchaba " Smart Attendance Monitoring System Using Facial Recognition " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
All Standard institute of learning place high priority on class attendance that if the criterial is not met by the student, the student will not be grant access to sit for his/her examination conducted by the school. This make class attendance an important activity for the student. Over the years, class attendance have been conducted manually and is still taking place currently in almost 80% of Nigerian Universities. Manual monitoring of attendance by the universities lecturer has become a hectic one for most lecturers and students. In the advancement of technology, manual marking of student’s attendance have been replaced by biometric concept. Though many researchers have made provisions on some biometric functions like fingerprint scanner, iris recognition, hand and finger geometric. In this paper we will proposed a facial recognition concept as means of verification in marking student’s attendance and store it into the database once verified. The system made use of a dlib library OpenCv library in successfully carrying out of the facial recognition. Images are read into directory, and these images are being encoded so as to generate 128 facial measurements like distances between the nose, ear, and eyebrow etc. This encodings will be used in making comparison with images read from camera or from live streaming videos in other to find best matches. For real time attendance system, we created a web application using python flask. Here we used bootstrap framework for frontend design, python as the programming language and Mysql for database design.
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—— Facial Recognition, Attendance Management, OpenCv, dlib, Python flask, Mysql database