Artificial Intelligence on the Edge

Artificial intelligence has recently gained significant relevance due to its potential to drastically transform multiple areas of our daily lives. The development of tools that employ AI improves efficiency in both basic and specialized tasks. Although sometimes this technology may seem complex and...

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Detalhes bibliográficos
Autor: Martin, Leonel Adrian
Tipo de documento: dissertação
Data de publicação:2025
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/456106
Acesso em linha:https://hdl.handle.net/2117/456106
Access Level:Acceso aberto
Palavra-chave:Machine learning
Artificial intelligence--Industrial applications
Aprenentatge automàtic
Intel·ligència artificial--Aplicacions industrials
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Descrição
Resumo:Artificial intelligence has recently gained significant relevance due to its potential to drastically transform multiple areas of our daily lives. The development of tools that employ AI improves efficiency in both basic and specialized tasks. Although sometimes this technology may seem complex and inaccessible, its application is increasingly common across various fields. This research project consists of training an object recognition model and developing a web application that acts as a user interface, oriented towards the fishing industry. The process involved programming and machine learning techniques, combined with the Raspberry Pi 5 device, allowing us to leverage the advantages of low cost, portability, and the capabilities of this processing unit to efficiently run the tool.