Avaliando a Eficácia de Redes Neurais Artificiais para Reconhecimento de Face Utilizando Raspberry Pi

• Ejziel Sampaio Santos UFRB
• Fabrício Velôso de Jesus UFRB
• Walber Conceição de Jesus Rocha UFRB
• João Carlos Nunes Bittencourt UFRB

DOI: https://doi.org/10.5753/erbase.2021.20366

Abstract

The rise of mobile robotics has moved many everyday tasks to computational platforms. Computer vision applications targeting face recognition, despite being a simple task for humans, demand for a large amount of processing power in computer platforms. This paper presents a comparison of several face recognition systems using convolutional neural networks and softmax regressors, to evaluate the accuracy and performance rates of the application in a Raspberry Pi computer platform. Three different topologies of neural networks were evaluated, considering seven users. The results point to an accuracy rate of 69.23% and an average execution time of 301.45 ms in the best case.

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