Diseño de un sistema de reconocimiento facial y localización de personas basado en cloud computing

Abstract

This document presents the design and implementation of a facial recognition and person localization system using cloud computing tools. The development considered key criteria such as accuracy, scalability, performance, integration with other services, and the analytical capabilities of various cloud service providers. After selecting the most suitable provider, a system was implemented to capture images using an IP camera and compare them against a preloaded database, displaying the match percentage and corresponding location through a web interface. The results demonstrate high accuracy, with an average match rate of 99.92% and a standard deviation of 0.233, indicating low variability and strong consistency in facial recognition performance.