Polytechnic and design, Vol. 8 No. 2, 2020.
Professional paper
https://doi.org/10.19279/TVZ.PD.2020-8-2-06
USAGE OF A EMBEDDED SYSTEM FOR BIOMETRIC FACE RECOGNITION IDENTIFICATION
Danijel Slavulj
; Zagreb University of Applied Sciences, Zagreb, Croatia, student
Davor Cafuta
; Zagreb University of Applied Sciences, Zagreb, Croatia
Jelena Kapelac Gulić
; Zagreb University of Applied Sciences, Zagreb, Croatia
Ivica Dodig
; Zagreb University of Applied Sciences, Zagreb, Croatia
Brigitta Cafuta
; Zagreb University of Applied Sciences, Zagreb, Croatia
Abstract
Computer systems today are a necessity in constant concept of improving the world. The challenge of the Covid virus has steered us into a new normal age where all potentially infected people should be quarantined immediately from the rest of the population. The hectic course of life unfortunately leads to the emergence of an increasing number of quarantine offenders. This paper presents the architecture and proposal of an embedded system that could be taught to recognize persons in quarantine. By placing such a system in the frequency zones, violators would be identified very quickly. Despite the fact that in our work we reach a fairly large error threshold, justified suspicion will more easily enable the police to more easily supervise persons under quarantine.
Keywords
Face recognition; Identification; Covid; Embedded systems
Hrčak ID:
243890
URI
Publication date:
15.9.2020.
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