ATTENDANCE USING FACE RECOGNITION

Abstract

In this autonomous growing world, verification of one's arrival is meant as attendance. This practice of marking attendance has been gradually changing its state. Ultimately, from manual marking to smart attendance there has been a large change throughout this development. Specifically attendance in a school or college, is very much high in priority as well as tiring process. These conventional methods of student attendance could take a lot of time in processing and dealing with every individual. So, this could naturally become a time consuming process. So, a different approach was required to consume the class hours and make it even more efficient for the teacher as well as the students. This path of smart attendance is acquired by machine learning. This project stands to be an web application that requests for a group picture, where face detection happens along with face recognition of the individual faces using LBPH algorithm and Haar-Cascade classifier, and marks the attendance in google sheets as an attendance database, with respect to the day and class hours.