FaceMark Pro: Smart Attendance Tracker with Liveness Detection Feature

Abstract

Abstract: The goal of this project is to build a "FaceMark Pro: Smart Attendance Tracker with Liveness Detection System" in order to enhance and modernize the existing Attendance System, which was formerly marked on paper and based on cards. The current system has many problems, including inaccurate attendance records and other human error. To address the shortcomings of the previous systems, there is a solution in the form of the FaceMark Pro: Smart Attendance Tracker, which uses face recognition technology to take, store, and identify images to show individual presence. An aspect of the project involves gathering up-to-date portraits of people and organizing them into a database. Consequently, numerous recognition algorithms, such as LBPH, HaaR Classifier, HoG, and others, work as part of OpenCV while the system is in operation and a human face is recognized. We'll record everyone's attendance if any images turn up. It will first record attendance, then supply the necessary information about the participants, and last, it will deliver a sheet listing all of the names of those who are and are not present.