Desarrollo de una aplicación web basada en reconocimiento facial y modelos bayesianos para la mejora de la seguridad carcelaria utilizando la norma ISO27001

This article proposes the development of a web application that uses facial recognition techniques and Bayesian models to improve prison security in compliance with the ISO27001 standard. The proposed methodology consists of the following stages: 1) identification of the functional and non-functional requirements of the application; 2) design of the application architecture and selection of the facial recognition techniques and Bayesian models to be used; 3) implementation of the application and performance of unit and integration tests; 4) experimental evaluation of the application in a test environment using performance and security metrics. The results allow establishing that the web application and its standardization by means of a Bayesian model allows anticipating risks and threats and can be used as an input for reducing prison insecurity. (Camargo, 2015) En el caso de Latinoamérica los sistemas de rehabilitación social, centros de privación de libertad o centros carcelarios, mantienen una problemática recurrente entre la violencia, hacinamiento, falta de infraestructura e irrespeto de los derechos humanos, en mayor o menor dimensión estas problemáticas se pueden identificar en la mayoría de los países de la región.