Artificial Intelligence on the Edge

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.