Improved Facial Recognition for Attendance Systems
DOI:
https://doi.org/10.32628/IJSRST207678Keywords:
Facial Recognition, Facial Detection, Neural Networks, Attendance systemAbstract
Attendance is an important part of educational life. The attendance methodology which exists currently is either totally manual or requires some human assistance. In traditional methods, the teacher manually marks the attendance of each student on paper. There are many flaws in this method. As the process is manual there is a chance of error in the marking of attendance. Similarly, marking of false attendance by the students is also possible. Moreover, the attendance is then required to be updated in the online database of the institute through which it is accessible to the students. Also, after every month a report of all the students is to be generated. This overall process is cumbersome and time consuming. There also exist some automated systems for attendance like fingerprint verification and RFID but they also require some human support. Here, the automated attendance system using facial recognition plays an important role which requires no human intervention and is fully automatic. Face recognition has always remained a major focus of research because of its non-invasive nature and because it is people's primary method of person identification.
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