Design of facial recognition system implemented in an unmanned aerial vehicle for citizen security in Latin America

Diego Herrera,Hiroki Imamura,N Moubayed

doi:10.1051/itmconf/20192704002

Abstract

In the new technological era, facial recognition has become a central issue for a great number of engineers. Currently, there are a great number of techniques for facial recognition, but in this research, we focus on the use of deep learning. The problems with current facial recognition convection systems are that they are developed in non-mobile devices. This research intends to develop a Facial Recognition System implemented in an unmanned aerial vehicle of the quadcopter type. While it is true, there are quadcopters capable of detecting faces and/or shapes and following them, but most are for fun and entertainment. This research focuses on the facial recognition of people with criminal records, for which a neural network is trained. The Caffe framework is used for the training of a convolutional neural network. The system is developed on the NVIDIA Jetson TX2 motherboard. The design and construction of the quadcopter are done from scratch because we need the UAV for adapt to our requirements. This research aims to reduce violence and crime in Latin America.

Highlights

Last decade has been marked by growth and spread of crime, with figures of up to 11 percent between 2000 and 2010, which caused more than one million deaths in Latin America and the Caribbean because of criminal violence[1]
The purpose of this research is to implement a facial recognition system built in DCNN (Deep Convolutional Neural Networking) implemented in a UAV (Unmanned Aerial Vehicle)
We decided to use 60% of throttle to obtain 608g of thrust by each motor. This proposed method aims to develop a facial recognition system with low cost and good performance implemented in UAV to able to recognize criminals

Summary

Introduction

Last decade has been marked by growth and spread of crime, with figures of up to 11 percent between 2000 and 2010, which caused more than one million deaths in Latin America and the Caribbean because of criminal violence[1]. The facial recognition system is a fundamental computer application for the automatic identification of a person through a digital image or video source[2]. Change is coming fast because algorithms are being written that enable AI to expand its abilities into realms of creativity, cooperation and emotional intelligence[3]. Ellie was created by the Institute for Creative Technologies at the University of Southern California to help treat people with depression and post-traumatic stress disorder[3]

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Methods

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Conclusion