dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor
Parisi Baradad, Vicenç
dc.contributor.author
Martin, Leonel Adrian
dc.date.accessioned
2026-02-25T02:55:36Z
dc.date.available
2026-02-25T02:55:36Z
dc.date.issued
2025-07-11
dc.identifier
https://hdl.handle.net/2117/456106
dc.identifier
PRISMA-197019
dc.identifier.uri
https://hdl.handle.net/2117/456106
dc.description.abstract
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.
dc.format
application/pdf
dc.publisher
Universitat Politècnica de Catalunya
dc.subject
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject
Machine learning
dc.subject
Artificial intelligence--Industrial applications
dc.subject
Aprenentatge automàtic
dc.subject
Intel·ligència artificial--Aplicacions industrials
dc.title
Artificial Intelligence on the Edge
