Automatic Face Recognition Attendance System

Abstract

In colleges, universities, organizations, schools, and offices, taking attendance is one of the most important tasks that must be done on a timely or daily basis. Most of the time, it is done manually, for example, by calling names, passing around sheets of papers or checking respective identification cards. These methods are time consuming and sometimes the records are lost. Hence, there is a need for a computer-based attendance management system which can assist with this process of taking attendances automatically and saving them such that the record can be accessible at any time. The main goal of this project is to create a face recognition-based attendance system that will turn the manual process of taking attendance into an automated one. This project meets the requirements for bringing modernization to the way attendance is being taken, as well as the criteria for time management. It can be implemented in classrooms, offices or anywhere an attendance system is required. Users must be registered into the face recognition attendance system. Registration involves taking a picture of each user’s face, building a model from their facial characteristics, and then saving this model into a database. The camera is tasked with taking pictures of users faces and their facial characteristics are extracted using Python OpenCV. Moreover, the face recognition process comes in when users want to take their attendances. Their facial characteristics are compared to those stored in the database and up on a successful face recognition, the system automatically register the attendance and saves it to another database. An Excel sheet showing all recorded attendances can be generated at any time.