Automatic Tracking and Attendance Analytics Using Bluetooth and Face Detection

Research on “How to create a fair, convenient attendance management system”, is being pursued by academics and government departments frequently. Manual checking of professor's presence or attendance in the classroom in their respective class hours has been causing disturbances due to opening of doors and it is prone to personal errors. Other methods of taking attendance are RFID cards, biometric identifiers like fingerprint, face recognition, palm print hand geometry, iris recognition etc. In this paper we propose attendance system based on Bluetooth and Face recognition. Here the basic idea is, to have the attendance of students in colleges or employees in the organization; they have to switch on their Bluetooth device (mobile phones/Bluetooth tag). Face recognition is an easy task for humans. Experiments in have shown, that even one to three day old babies are able to distinguish between known faces. It turns out we know little about human recognition to date. Are inner features (eyes, nose, mouth) or outer features (head shape, hairline) used for a successful face recognition which should be previously registered in the database.