System for the management and control of marks of the staff of the Metropolitan University of Ecuador
DOI:
https://doi.org/10.62452/bzvg4w41Keywords:
Biometrics, computer systems, control systems, free softwareAbstract
The main objective of the project is focused on the development and implementation of a system for the management and control of markings for the personnel of the Metropolitan University of Ecuador, which fundamentally seeks to reduce the evasion of attendance record markings of teaching, administrative and auxiliary, in front of the assistance control teams by sending early alerts remembering to record your entry or exit. Considering the data collected by biometric devices that are strategically located in dependencies of the institution. The project is carried out in a web environment supported by the free software approach and which is adjusted to the infrastructure that the institution has, and since this software can be implemented in a multiplatform environment, this system adapts to business software like the UMET counts. For the execution of this project, the RUP Unified Rational Process is used as a software methodology, because this methodology mitigates the risks in software implementation. Free programming languages such as PHP and SQL were used as a database language, using MariaDB as the manager of those databases.
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Barbazán Posse, C., & Casalderrey Carballal, A. (2018). Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial. Recuperado de http://sabia.tic.udc.es/docencia/ssi/old/2008-2009/docs/trabajos/HuellaDigital.pdf
Camacho, I. E. (01 de 07 de 2014). Geneticprint vs Fingerprint. Recuperado de http://132.248.9.34/hevila/Archivosdecriminologiaseguridadprivadaycriminalistica/2015/vol4/6.pdf
Carr, D., & Gray, M. (2018). Beginning PHP. Birmingham: Packt Publishing Ltd.
Jara, E. A. (2012). Sistema de información y control de asistencia. (rabajo de Graduación previo la obtención del Título de Ingeniero Informático). Quito: Universidad Central del Ecuador.
Kung, S. Y. (2004). Biometric Authentication: A Machine Learning Approach. New Jersey: Pearson.
Tolosa Borja, C., & Álvaro, G. B. (2018). Departamento de Sistemas Informáticos (DSI). Universidad de Castilla-La Mancha.
Tsui, F., Kram, O., & Bernal, B. (2016). Essentials of Software Engineering. Massachusetts: Jones & Bartlett Learning.
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