A STUDY ON APPLICATION OF FACIAL RECOGNITION FOR DEVELOPING AN ANDROID APP TO TRACK ATTENDANCE
If we take a break from our daily lives and have a look around us then we would be surprised to find how much everything around us has changed in the past few decades. Among all the sectors we have observed from medical science to business and from education to technology, one of the domains which has evolved drastically in the recent years has been the advancements and the innovations in technology and education. Both of them has been marvellously blended together to provide us with a wonderful e-learning tools like the online meetings applications which has proven to be the backbone of the organisations during the pandemic era. Notwithstanding all these advancements, we still find that the attendance system has been the same for several decades i.e., the old school way of using the pen and paper to mark the attendance after calling out the roll codes or names is still being used in almost every institution. This leads to not only wastage of time but also many other resources. Henceforth, I present this paper with the motive of finding the possibility of developing an android application which would free the world of the traditional pen and paper-based attendance system and instead would use face recognition libraries and APIs to detect as well as recognise the faces and use the preloaded data to mark the attendance of the respective students or employees. This would also eliminate the most prevalent issue of proxy attendance marking and provide a transparent attendance mechanism.
Face net, Android Operating System, Machine Learning, Library, API, Student Attendance System, Facial Recognition, Face Detection, Mobile Application, Tensor Flow, and Neural Networks.