Intelligent fire detection device

Lucas Tejedor da Silva, João T Dias, Myrna Cunha

DOI: 10.14209/sbrt.2021.1570722958

Evento: XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2021)

Keywords: Neural network Firefight Artificial intelligence

Abstract

This work is part of the Prevention and Firefighting Devices (DPCI) project developed by extension students in highschool. This project aims to develop smart prevention and firefighting devices. In this particular device, an intelligent fire recognition system was developed. The development used a RaspBerry PI 4 plate which, due to its small size, can be installed in difficult to reach places, a micro camera and a 3-layer neural network. The results obtained were promising, presenting an accuracy of 98% in the training and 80% in the test phase.

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