Raspberry Pi for Biometrics and Security Applications
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 8
Abstract
This document summarizes the work and the results obtained for the master’s final investigation (TFM) in which there appears the study of a variety of algorithms that are frequently used for face detection and / or facial recognition checking its performance on a computer device with limited resources and small size as is the Raspberry Pi, all with the intention of determining the results of each one, under a series of pre-established operating circumstances and the performance that each of these algorithms presents when they are executed, effectiveness, consumption, and other relevant factors to finally determine which of these is the most efficient, in front of IT solutions, which cover the needs that they present with the rise of modern society, on surveillance and security systems indoor such as homes, offices, research and development centers, just refering some. For this project were implemented the different algorithms in Phyton 3,5 language, specially for the advantages that this one offers on having been executed in this type of board. And the abundant number of aviable libraries, run on the operating system Raspbian Jessie version (4.4 with Pixel). Index Terms: facial recognition, algorithms, biometry, raspberry, security.
Authors and Affiliations
Misael Fernando Perilla Benítez
Keywords
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