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DESIGN AND EVALUATION OF A LOW COST BIOMETRIC TIME TRACKING SYSTEM

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JULY 2024   -  Volume: 99 -  Pages: 400-404

DOI:

https://doi.org/10.52152/D11101

Authors:

PELAYO NUÑO HUERGO - MARTA MENENDEZ ALVAREZ - FRANCISCO GONZALEZ BULNES - JUAN CARLOS GRANDA CANDAS

Disciplines:

  • Telecommunications technology (RADIOCOMUNICACIONES )

Downloads:   29

How to cite this paper:  
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Received Date :   6 November 2023

Reviewing Date :   7 November 2023

Accepted Date :   6 February 2024


Key words:
Registro de la actividad, Biometría, Gestión de recursos humanos, Sistemas de gestión de identidad, Asterisk, Time tracking, Biometrics, Human Resource Management, Identity Management Systems, Asterisk
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

Employee time tracking is sometimes an issue for many companies for two reasons. First, the lack of convenient devices. Second, the reluctance of employees. This is particularly noticeable in situations where employees do not work within corporate facilities, making it difficult to track work hours. Recent regulations by governments have emphasized the need for accurate time tracking, creating uncertainty in business environments. This paper proposes a simple and cost-effective time tracking system using the Asterisk PBX that runs on commodity hardware. This allows employees to track their working time without additional devices and regardless their locations. This solution uses an interactive voice menu, so employees may record actions related to their daily activities (start and end of the workday, etc.). The employee calls the Asterisk PBX and utters a passphrase before recording the action. Then, a biometric module analyzes the employee's voice to verify their identity, preventing impersonation. The verification process is independent of the text (IT), so the passphrases given to employees have no constraints. The results of the tests performed on the system indicate an accuracy of 99.7%, demonstrating the reliability of the biometric module. High values of accuracy (99.89) and recall (99.8%) are also obtained. Thus, the identification of legitimate employees and fraudulent identification attempts are very accurate.

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