Sistema informático para la gestión del registro de personas con síntomas de COVID-19 utilizando registro facial en el Hospital Básico Privado San Cayetano de la ciudad de Ambato

Abstract

At present, the management of surveillance cameras has given a high degree of effectiveness in security, its use is very common in different environments and contexts, in businesses, financial institutions, health homes, even due to the health emergency that we are currently going through. For this reason, technology and programming have led to the development of great surveillance tools, such as facial recognition that helps prevent identity theft and the use of contact with the system, transforming a more hygienic and safe method against pathogens that are found. abroad, managing to avoid crowds and infections.

The following research project focuses on the development of systems with Facial Recognition, helping to improve the quality of care in patients infected with COVID19 who enter the San Cayetano Basic Private Hospital on a daily basis.

The Face Sdk technology is an incredible tool that clearly detects the facial features of a person, this library is available for several programming languages, in the developed system, the use of this technology and the C # programming language allowed to obtain greater precision in the facial identification, satisfying the needs of the project.

In the development of the project, the XP Methodology was used, which allowed managing delivery times and functional interactions of the system before the Hospital Manager, successfully achieving with the implementation and the satisfaction of the Health House. Additionally, the Sql Server database manager was used for data storage and retrieval.