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This work presents the preliminary results of the development of a real-time facial recognition algorithm through convolutional neural networks (CNNs). Facial elements, namely, face, mouth, nose and eyes, are detected by the Viola-Jones algorithm. Each facial element is used to train a CNN. The training results show 100% identification accuracy. Real-time tests demonstrate a need for improvement. The image base will be expanded in the future to carry out a rigorous procedure for training and testing the algorithm. Keywords— Face recognition, real time, convolutional neural network, Viola-Jones algorithm.

Desenvolvimento Preliminar de um Algoritmo de Reconhecimento Facial em Tempo Real através de Redes Neurais Convolucionais