Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da INATEL |
Texto Completo: | https://tede.inatel.br:8080/tede/handle/tede/262 |
Resumo: | Public health authorities in Brazil face significant challenges in combating the Aedes aegypti mosquito, which poses a threat to the population. Despite efforts such as awareness campaigns and control measures, diseases such as dengue, Zika virus and chikungunya prevail. However, technological advances have allowed the development of devices capable of detecting the female mosquitoes Aedes aegypti , which are the main vectors of these diseases. This work proposes an Internet of Things (IoT) system and weather stations to effectively monitor and control the insect population, especially in high-risk areas, through the implementation of smart pest control traps, based on Computer Vision. The intelligent system features the YOLOv7 (You Only Look Once v7) algorithm that is capable of detecting and counting insects in real time, combined with LoRa/LoRaWan connectivity and IoT system intelligence. The proposed trap solution enables continuous data collection and implementation of advanced analytics, with Machine Learning (ML) and Deep Learning (DL), to improve the accuracy and efficiency of the detection system. This adaptive approach is effective in combating Aedes aegypti mosquitoes in real time. Keywords: Ae.aegypti, Computer Vision, IoT, Internet of Things, LoRa, LoRaWAN, Machine Learning, Smart Traps, YOLOv7. |
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Mafra , Samuel Baraldi9492423249629649http://lattes.cnpq.br/94924232496296494106100588404007http://lattes.cnpq.br/4106100588404007Oliveira , Danilo Machado2024-05-23T17:46:41Z2024-02-05Oliveira , Danilo Machado. Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional. 2024. [quantidade de f22 p0]. Tese( Mestrado em Engenharia de Telecomunica????es) - Instituto Nacional de Telecomunica????es, [Santa Rita de Sapuca??] .https://tede.inatel.br:8080/tede/handle/tede/262Public health authorities in Brazil face significant challenges in combating the Aedes aegypti mosquito, which poses a threat to the population. Despite efforts such as awareness campaigns and control measures, diseases such as dengue, Zika virus and chikungunya prevail. However, technological advances have allowed the development of devices capable of detecting the female mosquitoes Aedes aegypti , which are the main vectors of these diseases. This work proposes an Internet of Things (IoT) system and weather stations to effectively monitor and control the insect population, especially in high-risk areas, through the implementation of smart pest control traps, based on Computer Vision. The intelligent system features the YOLOv7 (You Only Look Once v7) algorithm that is capable of detecting and counting insects in real time, combined with LoRa/LoRaWan connectivity and IoT system intelligence. The proposed trap solution enables continuous data collection and implementation of advanced analytics, with Machine Learning (ML) and Deep Learning (DL), to improve the accuracy and efficiency of the detection system. This adaptive approach is effective in combating Aedes aegypti mosquitoes in real time. Keywords: Ae.aegypti, Computer Vision, IoT, Internet of Things, LoRa, LoRaWAN, Machine Learning, Smart Traps, YOLOv7.As autoridades de sa??de p??blica no Brasil enfrentam desafios significativos no combate ao mosquito Aedes aegypti, que representa uma amea??a para a popula????o. Apesar de esfor??os para a conscientiza????o, campanhas e medidas de controle, doen??as como dengue, v??rus Zika e v??rus chikungunya prevalecem. No entanto, os avan??os tecnol??gicos permitiram o desenvolvimento de dispositivos capazes de detectar mosquitos g??meas Ae.aegypti, que s??o os principais vetores dessas doen??as. Neste trabalho ?? proposto um sistema de Internet das Coisas (IoT) e esta????es meteorol??gicas para monitorar e controlar efetivamente a popula????o de insetos, especialmente em ??reas de alto risco, atrav??s da implementa????o de armadilhas inteligentes de controle de pragas, baseadas em Vis??o Computacional. O sistema inteligente apresenta o algoritmo You Only Look Once version 7 (YOLOv7) que e capaz de realizar detec????o e contagem de insetos em tempo real, combinado com a conectividade do rede de longa dist??ncia (do ingl??s: Long Range Wide , LoRa)/rede de longa dist??ncia de ??rea ampla ( do ingl??s: Long Range Wide Area Network, LoRaWAN) e a intelig??ncia do sistema de IoT. A solu????o da armadilha proposta permite a coleta cont??nua de dados e a implementa????o de analises avan??adas, com Aprendizado de M??quina e Aprendizagem Profunda, para melhorar a precis??o e efici??ncia do sistema de detec????o. Esta abordagem adaptativa ?? eficaz no combate aos mosquitos Aedes aegypti em tempo real.Submitted by Tede Dspace (tede@inatel.br) on 2024-05-23T17:46:02Z No. of bitstreams: 1 Disserta????o V.Final Danilo Machado 1 3.pdf: 78301704 bytes, checksum: 32079a84347e7cf929efca96c4069bab (MD5)Made available in DSpace on 2024-05-23T17:46:41Z (GMT). No. of bitstreams: 1 Disserta????o V.Final Danilo Machado 1 3.pdf: 78301704 bytes, checksum: 32079a84347e7cf929efca96c4069bab (MD5) Previous issue date: 2024-02-05application/pdfhttp://tede.inatel.br:8080/jspui/retrieve/2034/Disserta%c3%a7%c3%a3o%20V.Final%20Danilo%20Machado%201%203.pdf.jpgporInstituto Nacional de Telecomunica????esMestrado em Engenharia de Telecomunica????esINATELBrasilInstituto Nacional de Telecomunica????esAedes aegyptArmadilhas Inteligentes, Aprendizado de Maquina, Internet das Coisas, LoRa, LoRaWAN,Yolov7Engenharia - Telecomunica????esArmadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacionalinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da INATELinstname:Instituto Nacional de Telecomunicações (INATEL)instacron:INATELLICENSElicense.txtlicense.txttext/plain; charset=utf-850http://localhost:8080/tede/bitstream/tede/262/1/license.txtad97de64637545abb37de9243411913cMD51ORIGINALDisserta????o V.Final Danilo Machado 1 3.pdfDisserta????o V.Final Danilo Machado 1 3.pdfapplication/pdf78301704http://localhost:8080/tede/bitstream/tede/262/2/Disserta%C3%A7%C3%A3o+V.Final+Danilo+Machado+1+3.pdf32079a84347e7cf929efca96c4069babMD52TEXTDisserta????o V.Final Danilo Machado 1 3.pdf.txtDisserta????o V.Final Danilo Machado 1 3.pdf.txttext/plain232641http://localhost:8080/tede/bitstream/tede/262/3/Disserta%C3%A7%C3%A3o+V.Final+Danilo+Machado+1+3.pdf.txt4ba117538bb75a8cf984494e659569b4MD53THUMBNAILDisserta????o V.Final Danilo Machado 1 3.pdf.jpgDisserta????o V.Final Danilo Machado 1 3.pdf.jpgimage/jpeg4276http://localhost:8080/tede/bitstream/tede/262/4/Disserta%C3%A7%C3%A3o+V.Final+Danilo+Machado+1+3.pdf.jpgcfd8701ef8a6f6af42bf4d76366fff46MD54tede/2622024-05-24 01:00:09.097oai:localhost:tede/262aHR0cDovL2NyZWF0aXZlY29tbW9ucy5vcmcvbGljZW5zZXMvYnktbmMtbmQvNC4wLy4=Biblioteca Digital de Teses e Dissertaçõeshttp://tede.inatel.br:8080/jspui/PUBhttp://tede.inatel.br:8080/oai/requestbiblioteca@inatel.br || biblioteca.atendimento@inatel.bropendoar:2024-05-24T04:00:09Biblioteca Digital de Teses e Dissertações da INATEL - Instituto Nacional de Telecomunicações (INATEL)false |
dc.title.por.fl_str_mv |
Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional |
title |
Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional |
spellingShingle |
Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional Oliveira , Danilo Machado Aedes aegyptArmadilhas Inteligentes, Aprendizado de Maquina, Internet das Coisas, LoRa, LoRaWAN,Yolov7 Engenharia - Telecomunica????es |
title_short |
Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional |
title_full |
Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional |
title_fullStr |
Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional |
title_full_unstemmed |
Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional |
title_sort |
Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional |
author |
Oliveira , Danilo Machado |
author_facet |
Oliveira , Danilo Machado |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Mafra , Samuel Baraldi |
dc.contributor.advisor1ID.fl_str_mv |
9492423249629649 |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9492423249629649 |
dc.contributor.authorID.fl_str_mv |
4106100588404007 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4106100588404007 |
dc.contributor.author.fl_str_mv |
Oliveira , Danilo Machado |
contributor_str_mv |
Mafra , Samuel Baraldi |
dc.subject.por.fl_str_mv |
Aedes aegyptArmadilhas Inteligentes, Aprendizado de Maquina, Internet das Coisas, LoRa, LoRaWAN,Yolov7 |
topic |
Aedes aegyptArmadilhas Inteligentes, Aprendizado de Maquina, Internet das Coisas, LoRa, LoRaWAN,Yolov7 Engenharia - Telecomunica????es |
dc.subject.cnpq.fl_str_mv |
Engenharia - Telecomunica????es |
description |
Public health authorities in Brazil face significant challenges in combating the Aedes aegypti mosquito, which poses a threat to the population. Despite efforts such as awareness campaigns and control measures, diseases such as dengue, Zika virus and chikungunya prevail. However, technological advances have allowed the development of devices capable of detecting the female mosquitoes Aedes aegypti , which are the main vectors of these diseases. This work proposes an Internet of Things (IoT) system and weather stations to effectively monitor and control the insect population, especially in high-risk areas, through the implementation of smart pest control traps, based on Computer Vision. The intelligent system features the YOLOv7 (You Only Look Once v7) algorithm that is capable of detecting and counting insects in real time, combined with LoRa/LoRaWan connectivity and IoT system intelligence. The proposed trap solution enables continuous data collection and implementation of advanced analytics, with Machine Learning (ML) and Deep Learning (DL), to improve the accuracy and efficiency of the detection system. This adaptive approach is effective in combating Aedes aegypti mosquitoes in real time. Keywords: Ae.aegypti, Computer Vision, IoT, Internet of Things, LoRa, LoRaWAN, Machine Learning, Smart Traps, YOLOv7. |
publishDate |
2024 |
dc.date.accessioned.fl_str_mv |
2024-05-23T17:46:41Z |
dc.date.issued.fl_str_mv |
2024-02-05 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
Oliveira , Danilo Machado. Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional. 2024. [quantidade de f22 p0]. Tese( Mestrado em Engenharia de Telecomunica????es) - Instituto Nacional de Telecomunica????es, [Santa Rita de Sapuca??] . |
dc.identifier.uri.fl_str_mv |
https://tede.inatel.br:8080/tede/handle/tede/262 |
identifier_str_mv |
Oliveira , Danilo Machado. Armadilha Inteligente para Detec????o e Captura de Mosquito Aedes Aegypti Baseada em IoT e Vis??o Computacional. 2024. [quantidade de f22 p0]. Tese( Mestrado em Engenharia de Telecomunica????es) - Instituto Nacional de Telecomunica????es, [Santa Rita de Sapuca??] . |
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https://tede.inatel.br:8080/tede/handle/tede/262 |
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Instituto Nacional de Telecomunica????es |
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Mestrado em Engenharia de Telecomunica????es |
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INATEL |
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Brasil |
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Instituto Nacional de Telecomunica????es |
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Instituto Nacional de Telecomunica????es |
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