Modeling a system for monitoring an object using artificial neural networks and reinforcement learning

This paper presents a modeling of a system designed to monitor a moving object from images captured by a camera. The research was focused on defining the steps necessary to the functioning of systems, they are: capture and image processing, pattern recognition with artificial neural networks and seek the best path for moving the camera, using reinforcement learning. The results show the viability of the proposed system, being a relevant alternative to monitoring and security environments.