Analysis of the use of Convolutional Neural Networks for facial recognition in the district of San Juan de Lurigancho (#1053)

Authors

Guadalupe Mori, Victor Hugo

Benites Gomez, Rafael Eduardo Sebastián

Rayme Serrano, Rubén Alejandro

Coaquira Torres, Edgar

Huerta Rojas, Miguel Angel

Rivera Echegaray, Luis Alberto

Ogosi Auqui, José Antonio

Abstract

In recent years the use of artificial intelligence has become popular due to its effectiveness to learn automatically as it emulates the behavior of a human brain processing data and information that manages to perceive creating patterns to make decisions, this is achieved thanks to neural networks, there are several types of neural networks, which differ in their structure, how they process information and how they learn from it, which is why each one has different applications and can be used in different contexts depending on the type of problem it addresses. In this project we will analyze convolutional neural networks and their relevance in image analysis to later use it in facial recognition, training it in the detection of faces through images from different angles considering the triangular pattern of the face in order to identify people to provide better public safety through video surveillance.