An AI Integrated Face Detection System for Biometric Attendance Management

Abstract

Fair attendance processing and management is a critical process to organizations and institution. The biometric system also results the false positive and false negative. People do not prefer biometric due to exposure of sensors imaging to the certain part of body. This paper discusses the efficient biometric attendance management through integrating Artificial Intelligence sub systems. The proposed system discusses an integrated technological framework to control and manage the attendance of employee and staff members. Face recognition system is approached with many of the algorithms but in this integrated approach of Artificial Intelligence and biometric systems with LBPH algorithm provides the precise output. This LBPH algorithm processes the pixels of a detected image and threshold value is determined with binary pattern. A regular database is created to manage and preserve the attendance to execute the future processing. This integrated technological system produces efficient results and also reduces the false negative and false positive response of the biometric attendance management system.