Human Face Detection and Recognition for Smart Attendance System

Abstract

Being one of the most successful applications of the image processing, face detection and recognition has a vital role in technical field especially in the field of security purpose. Human face detection and recognition is an important field for verification purpose especially in the case of attendance system. Maintaining the attendance is very important in all the institutes for checking the presence of students. Every institute has its own method in this regard. Some are taking attendance manually using the traditional pen and paper or file based approach. This system is developed for deploying an easy and a secure way of taking down attendance. The system first captures an image of all the students and stores the information into database. The system then stores the image by mapping it  into a face coordinate structure. Next time whenever the registered student enters the premises the system recognizes the student and marks his attendance along with the time. In this project, we come up with a new hardware system for human face detection which makes use of Raspberry Pi. It is a credit-card sized computer with the components mounted on a credit card sized motherboard, running a dedicated version of Linux. It plugs into TV and a keyboard. It is a capable little computer which can be used in electronic devices and for much functionality that a desktop computer can perform. It comes at a very low price.