Embedded human detection system for home security

Oscar Arturo González González, Alina Mariana Pérez Soberanes, Víctor Hugo García Ortega, Julio César Sosa Savedra

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper presents the development of an embedded system prototype that performs the home security monitoring, through image processing and classification algorithms to detect human form. If human presence is detected, the system will send an alert message to the user. The embedded system is implemented on a Raspberry Pi 3 B, supported by a Pyroelectric Infrared Radial (PIR) motion sensor and a Raspberry Pi Camera V2. The algorithms are implemented in C language and were designed to take advantage of the hardware resources of the platform, through High Performance Computing (HPC) techniques. The selected classifier is a multilayer perceptron. This classifier obtained an accuracy of 96%, approximately.

Idioma originalInglés
Título de la publicación alojadaTelematics and Computing - 9th International Congress, WITCOM 2020, Proceedings
EditoresMiguel Félix Mata-Rivera, Roberto Zagal-Flores, Cristian Barria-Huidobro
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas48-60
Número de páginas13
ISBN (versión impresa)9783030625535
DOI
EstadoPublicada - 2020
Evento9th International Congress on Telematics and Computing, WITCOM 2020 - Puerto Vallarta, México
Duración: 2 nov. 20206 nov. 2020

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1280
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia9th International Congress on Telematics and Computing, WITCOM 2020
País/TerritorioMéxico
CiudadPuerto Vallarta
Período2/11/206/11/20

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