Paper-06 | Reg. No.:20140606|DOI:V3I1P06
Face Recognized Attendance Logging System
Jensy Andrew, Rahul Jiwane,Pillai Hoc College of Engineering and Technology,Rasayani, Mumbai, Maharashtra, India.
This paper proposes by extending the Existing surveillance cameras as an intelligent attendance logging system, the proposed system has purposes monitor and to report the occupant’s attendance system will monitor the occupants’ attendance by using a camera that is placed inside the working room and sends the events/messages in real-time. This is also designed to support the context-aware applications such as smart home or intelligent buildings. When the occupant sits his/her seats start time is given. Later, after he/she leaves from their seats a stop time is generated. The result shows that the system can achieve a good result student’s context such as presence, seat position, status, and comprehension are discussed in this paper. At the same time face images reflect a lot about these context information. It is possible to estimate automatically whether each student is present or absent and where each student is sitting by using face recognition technology.