A Review and Construction of a Real-time Facial Recognition System

• Eduardo H. Teixeira Inatel http://orcid.org/0000-0001-8449-7541
• Samuel B. Mafra Inatel http://orcid.org/0000-0002-5238-1795
• Joel J. P. C. Rodrigues UFPI/IT http://orcid.org/0000-0001-8657-3800
• Werner A. A. N. da Silveira Inatel http://orcid.org/0000-0001-5710-7106
• Ousmane Diallo UASZ http://orcid.org/0000-0001-7506-412X

DOI: https://doi.org/10.5753/sbcup.2020.11225

Resumo

The evolution of surveillance technologies allows a reduction in human interaction with the process, since most of the monitoring functions performed by an individual can be replaced by detection and recognition techniques in real-time. This paper proposes the development of a surveillance system, which uses these techniques to identify individuals present within the field of view of camera. A combination of the Histogram of Oriented Gradient and Support Vector Machine techniques is applied for face detection, while a Residual Network is used during the stage of recognizing individuals. This shows the possibility of implementing this set of techniques, even in hardware with processing limitations.

Palavras-chave: Facial Recognition, HOG, SVM, ResNet, Raspberry

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