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An AI Integrated Face Detection System for Biometric Attendance Management

机译:一种用于生物识别考勤管理的AI综合面检测系统

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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.
机译:公平出勤处理和管理是组织和机构的重要过程。生物识别系统还会导致误报和假阴性。由于传感器的暴露于身体的某部分,人们不喜欢生物识别。本文通过整合人工智能子系统讨论了高效的生物识别考勤管理。该拟议的系统讨论了控制和管理员工和工作人员的出席的综合技术框架。面部识别系统接近许多算法,但在这种人工智能的综合方法中,具有LBPH算法的人工智能和生物识别系统提供了精确的输出。该LBPH算法处理检测到的图像的像素,并用二进制模式确定阈值。创建常规数据库以管理和保留执行以执行未来处理的考勤。该综合技术系统产生有效的结果,并降低了生物识别出勤管理系统的假阴性和假阳性响应。

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