IoT system for the validation of conditions in shipping couriers

Detalhes bibliográficos
Autor(a) principal: Filipe, Pedro Miguel Moreira
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/26959
Resumo: The growth in online activity these days has caused an increase in the number of online shopping businesses. As the shopping experience becomes less personal, some people try to abuse online businesses with return fraud. The number of IoT devices has also experienced growth due to the fourth industrial revolution, or Industry 4.0, which consists of process automation and data exchange in the industry through IoT and machine learning. This dissertation includes research questions, hypotheses, objectives, and a methodology for the development of a system that integrates IoT to solve the problem of fraudulent returns. The prototype developed monitors when packages leave the facilities and when they are delivered, in addition to allowing to check upon the packages’ integrity at these same moments. This is achieved by using a Raspberry Pi with a camera attached and an ESP32 with a motion sensor, connected via the MQTT and Node-RED protocol. To evaluate the system, several tests were created to simulate a scenario of real-world application. With the results obtained, it is possible to conclude that the development was a success and that the prototype can be used in logistics business to prevent return fraud.
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spelling IoT system for the validation of conditions in shipping couriersInternet of thingsLogistics servicesPackage monitoringPackage integrityIndustry 4.0Serviços de logísticaMonitorização de encomendasIntegridade de encomendasIndústria 4.0The growth in online activity these days has caused an increase in the number of online shopping businesses. As the shopping experience becomes less personal, some people try to abuse online businesses with return fraud. The number of IoT devices has also experienced growth due to the fourth industrial revolution, or Industry 4.0, which consists of process automation and data exchange in the industry through IoT and machine learning. This dissertation includes research questions, hypotheses, objectives, and a methodology for the development of a system that integrates IoT to solve the problem of fraudulent returns. The prototype developed monitors when packages leave the facilities and when they are delivered, in addition to allowing to check upon the packages’ integrity at these same moments. This is achieved by using a Raspberry Pi with a camera attached and an ESP32 with a motion sensor, connected via the MQTT and Node-RED protocol. To evaluate the system, several tests were created to simulate a scenario of real-world application. With the results obtained, it is possible to conclude that the development was a success and that the prototype can be used in logistics business to prevent return fraud.O aumento da atividade online nos dias de hoje tem causado um aumento no número de lojas de comércio online. À medida que a experiência de compra se torna menos pessoal, algumas pessoas tentam abusar negócios online com fraudes de devolução. O número de dispositivos IoT também tem crescido devido à quarta revolução industrial, ou Indústria 4.0, que consiste na automação de processos e troca de dados na indústria através de IoT e machine learning. Esta dissertação inclui questões de investigação, hipóteses, objetivos e uma metodologia para o desenvolvimento de um sistema que integra IoT para resolver o problema de devoluções fraudulentas. O protótipo desenvolvido monitoriza quando encomendas saem das instalações e quando são entregues, para além de permitir a verificação da integridade física das encomendas nestes mesmos momentos. Isto é alcançado com o uso de um Raspberry Pi com uma câmara associada e um ESP32 com um sensor de movimento, conectados entre si através do protocolo MQTT e Node-RED. Para avaliar o sistema, vários testes foram criados de forma a simular um cenário de aplicação no mundo real. Os resultados obtidos permitem concluir que o desenvolvimento foi um sucesso e que o protótipo pode ser usado em empresas de logística, distribuição e transporte para evitar fraudes de devolução.2023-01-03T12:52:10Z2022-12-20T00:00:00Z2022-12-202022-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/26959TID:203131363engFilipe, Pedro Miguel Moreirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:36:20Zoai:repositorio.iscte-iul.pt:10071/26959Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:16:30.084106Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv IoT system for the validation of conditions in shipping couriers
title IoT system for the validation of conditions in shipping couriers
spellingShingle IoT system for the validation of conditions in shipping couriers
Filipe, Pedro Miguel Moreira
Internet of things
Logistics services
Package monitoring
Package integrity
Industry 4.0
Serviços de logística
Monitorização de encomendas
Integridade de encomendas
Indústria 4.0
title_short IoT system for the validation of conditions in shipping couriers
title_full IoT system for the validation of conditions in shipping couriers
title_fullStr IoT system for the validation of conditions in shipping couriers
title_full_unstemmed IoT system for the validation of conditions in shipping couriers
title_sort IoT system for the validation of conditions in shipping couriers
author Filipe, Pedro Miguel Moreira
author_facet Filipe, Pedro Miguel Moreira
author_role author
dc.contributor.author.fl_str_mv Filipe, Pedro Miguel Moreira
dc.subject.por.fl_str_mv Internet of things
Logistics services
Package monitoring
Package integrity
Industry 4.0
Serviços de logística
Monitorização de encomendas
Integridade de encomendas
Indústria 4.0
topic Internet of things
Logistics services
Package monitoring
Package integrity
Industry 4.0
Serviços de logística
Monitorização de encomendas
Integridade de encomendas
Indústria 4.0
description The growth in online activity these days has caused an increase in the number of online shopping businesses. As the shopping experience becomes less personal, some people try to abuse online businesses with return fraud. The number of IoT devices has also experienced growth due to the fourth industrial revolution, or Industry 4.0, which consists of process automation and data exchange in the industry through IoT and machine learning. This dissertation includes research questions, hypotheses, objectives, and a methodology for the development of a system that integrates IoT to solve the problem of fraudulent returns. The prototype developed monitors when packages leave the facilities and when they are delivered, in addition to allowing to check upon the packages’ integrity at these same moments. This is achieved by using a Raspberry Pi with a camera attached and an ESP32 with a motion sensor, connected via the MQTT and Node-RED protocol. To evaluate the system, several tests were created to simulate a scenario of real-world application. With the results obtained, it is possible to conclude that the development was a success and that the prototype can be used in logistics business to prevent return fraud.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-20T00:00:00Z
2022-12-20
2022-11
2023-01-03T12:52:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/26959
TID:203131363
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dc.language.iso.fl_str_mv eng
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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