Face Recognition Attendance System

Abstract

Attendance system is very important in schools and colleges because Manual attendance system has many problems for example it may be less accurate and difficult to maintain. So, attendance system using face recognition technique increases the accuracy and also it requires less time than other methods. There are many existing systems for attendance such as face recognition using IoT, PIR sensors and so on. For face recognition, hardware devices are also helpful, but the challenge is to maintain all the sensors properly without getting them damaged. After studying all methods and techniques, we are trying to implement a system with Haar Cascade Algorithm which has the highest accuracy among all. It is able to capture the images from 50-70cm. We are creating graphical user interface which capture the images, create the dataset and train the dataset on single click. After recognizing a face it will display name of student and roll number. That information will be stored in attendance sheet automatically with time and date.