Un sistema semiautomático de diagnóstico de situaciones en tareas de vigilancia basado en técnicas de Atención Visual Selectiva y dinámica con capacidad deAprendizaje

Abstract

Semiautomatic audiovisual monitoring within the field of surveillance has become an area of ​​study and development of great importance. Hence the need to contribute to the study of this new branch of Artificial intelligence based on the analysis of the new tools that allow in one way or another to perform tasks such as traffic monitoring in congestion areas as well as in Private spaces such as parking. The large number of vehicles that access the parking lots of the Technical University of Loja has become a problem where it is essential to implement a tool that allows to control in a more efficient way the distribution of the physical space of the same as also to improve The allocation of free spaces for the correct use of them. The daily society seeks security mechanisms that provide integrity to both them and people and the assets they have, one of these security mechanisms is based on the use of automated monitoring and surveillance tools through the use of monitoring mechanisms Such as video cameras, which should be located in specific places of the place where the monitoring task is intended. Although these tools are a good prevention mechanism, in some cases it is necessary to have the presence of human To carry out the analysis of the images and to determine according to their criterion what situation needs the intervention of the security personnel to control the anomalous situation.