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Stručni rad

https://doi.org/10.19279/TVZ.PD.2020-8-2-06

USAGE OF A EMBEDDED SYSTEM FOR BIOMETRIC FACE RECOGNITION IDENTIFICATION

Danijel Slavulj ; Tehničko Veleučilište u Zagrebu, Zagreb, Hrvatska, student
Davor Cafuta ; Tehničko veleučilište u Zagrebu, Zagreb, Hrvatska
Jelena Kapelac Gulić ; Tehničko veleučilište u Zagrebu, Zagreb, Hrvatska
Ivica Dodig ; Tehničko veleučilište u Zagrebu, Zagreb, Hrvatska
Brigitta Cafuta ; Tehničko veleučilište u Zagrebu, Zagreb, Hrvatska


Puni tekst: hrvatski pdf 3.980 Kb

str. 105-113

preuzimanja: 524

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Sažetak

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.

Ključne riječi

Face recognition; Identification; Covid; Embedded systems

Hrčak ID:

243890

URI

https://hrcak.srce.hr/243890

Datum izdavanja:

15.9.2020.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.898 *