Abstract

Face recognition is a fast growing and challenging area in the field of computer vision and real time applications. A lot of techniques and algorithms are available with varying degrees of accuracy and speed. Face recognition has a lot of applications in the field of advertising, healthcare, security, accessibility, and even payments. Hence, there is a need for low cost, reliable and accurate face recognition systems in todays world [3]. The aim is to implement a face recognition system using a Raspberry Pi device. This system is part of an assistive device created by us for visually impaired people. The setup consists of a Raspberry Pi 3 Model B device with a camera module attached to it. The Raspberry Pi has a 1.2 GHz 64-bit CPU along with 1 GB RAM and the camera module has a resolution of 5 MP.

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