Inorganic waste classifier using artificial intelligence
Ferri Mollá, Isabel (2021)
Ferri Mollá, Isabel
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021072016822
https://urn.fi/URN:NBN:fi:amk-2021072016822
Tiivistelmä
Artificial intelligence is a field that has experienced incredible growth in recent years. However, one of the milestones that marked a before and after in this field is deep learning and the emergence of neural networks, algorithms capable of, given a set of data, extracting features and patterns from them, as well as the possibility of applying them to classify or obtain information from new data not previously known.
The objective of this thesis was to create a neural network capable of classifying waste according to the material it is made of, thus facilitating the task of recycling these objects. To achieve the objective, a convolutional neural network was created as well as a dataset for training, which was correctly labelled and reviewed.
The objective of this thesis was to create a neural network capable of classifying waste according to the material it is made of, thus facilitating the task of recycling these objects. To achieve the objective, a convolutional neural network was created as well as a dataset for training, which was correctly labelled and reviewed.