Abstract:

Proper attendance management and maintaining of it is essential and given first priority for all the educational and academic institutions in order to spread and to ensure the quality of education for all students. This paper is used to present a model for automated attendance system to reduce manual data collection and end the possibility of fraud. This model mainly focuses on how facial recognition is integrated with the Radio Frequency Identification (RFID) recognizes and that is used to count the authorized students as they enter and leave the classroom. The smart attendance system keeps a genuine record of each enrolled student, greatly eliminating traditional tedious work. Additionally, this intelligent system keeps an attendance record for every student enrolled in a particular course and provides the necessary information as and when required. In our project, recognizing a person's face and simultaneously verifying it via RFID greatly removes the limitations of existing manual attendance systems. Another additional feature of this project is to save energy by implementing a system with IR modules that turns on the electronics in the room only when people are present.

Description:

Image processing technique, OpenCV(Open Source Computer Vision Library), face recognition, The RFID tag, The RFID reader, Arduino project, IR module