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Real Time Face Recognition using Raspberry Pi
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 33 |
| Year of Publication: 2020 |
| Authors: Sanchit Dass, Mohammed Sadrulhuda Quadri, Navaz Pasha, Nishant Nayan, Jyothi S Nayak |
10.5120/ijca2020920387
|
Sanchit Dass, Mohammed Sadrulhuda Quadri, Navaz Pasha, Nishant Nayan, Jyothi S Nayak . Real Time Face Recognition using Raspberry Pi. International Journal of Computer Applications. 176, 33 ( Jun 2020), 1-4. DOI=10.5120/ijca2020920387
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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