Title: Face recognition with Raspberry Pi using deep neural networks

Authors: Xhevahir Bajrami; Blend Gashi

Addresses: Department of Mechatronics, University of Prishtina 'Hasan Prishtina', Bregu i Diellit, pn. 10000, Prishtina, Kosovo ' Department of Software Design, University of Prizren 'Ukshin Hoti', Rruga e Shkronjave, nr. 1, 20000 Prizren, Kosovo

Abstract: Identifying a person through photography is difficult when dealing with different conditions such as light, colour and image cleanliness. Old facial recognition methods are not applicable due to the poor performance they have shown when dealing with a lot of data and under different conditions. However, with deep neural networks we can create systems that achieve high facial recognition efficiency from digital photography. The new deep learning methods have enabled the accuracy of person identification through digital photography to be very high. Knowing the face through software systems remains a separate problem. Facial recognition systems enable the person to be identified through digital photography and deal with large amounts of digital imaging. The aim of the research is the proposal and experimental implementation of deep neural networks, which allows face recognition from digital photography a solution based on Raspberry Pi. In addition to the efficiency of this system in different areas, this implementation is cost effective.

Keywords: face recognition; Raspberry Pi; deep neural networks; k-nearest neighbours; K-NN.

DOI: 10.1504/IJCVR.2022.10044627

International Journal of Computational Vision and Robotics, 2022 Vol.12 No.2, pp.177 - 193

Accepted: 22 Feb 2021
Published online: 02 Feb 2022 *

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