| Autor: |
Alex Nú nez, Johnny Jácome, Kerly Vaca, Braulio Balseca, Ramiro Jara |
| Jazyk: |
Spanish; Castilian |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
ESPOCH Congresses, Vol 3, Iss 2, Pp 72-84 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2789-5009 |
| DOI: |
10.18502/espoch.v4i1.15803 |
| Popis: |
Abstract The objective of this article is to model a facial recognition system, using a Raspberry PI and Machine Learning (ML), for an attendance control system. Machine learning is a branch of artificial intelligence that allows the training of algorithms inspired by biological systems, using a considerable amount of information. In this work, the architecture of artificial neural networks with error backpropagation has been used, which have a certain similarity with human neurons and can extract knowledge from the input data. The algorithms have been implemented in Python and the results show a high precision for the classification and recognition of people. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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