Reliability testing of software designed to detect people

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63559318" target="_blank" >RIV/70883521:28140/22:63559318 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10017627" target="_blank" >https://ieeexplore.ieee.org/document/10017627</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CSCC55931.2022.00017" target="_blank" >10.1109/CSCC55931.2022.00017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reliability testing of software designed to detect people

Popis výsledku v původním jazyce

In connection with the solution of the security situation in the world, artificial intelligence has been intensively used in recent years, which can process and solve complex problems with the help of high computer performance, data volume and machine learning algorithms. The field of face recognition and object detection has not lagged behind in this area and makes extensive use of artificial intelligence in its algorithms. The work presents the possibilities of obtaining data for the detection of persons by camera systems, at the same time the individual algorithms for face detection and identification of persons are presented. Attention is paid to the analysis of current software manufacturers for Face Recognition with subsequent testing of two separate programs and one software, which is a product of the manufacturer of camera systems. © 2022 IEEE.

Název v anglickém jazyce

Reliability testing of software designed to detect people

Popis výsledku anglicky

In connection with the solution of the security situation in the world, artificial intelligence has been intensively used in recent years, which can process and solve complex problems with the help of high computer performance, data volume and machine learning algorithms. The field of face recognition and object detection has not lagged behind in this area and makes extensive use of artificial intelligence in its algorithms. The work presents the possibilities of obtaining data for the detection of persons by camera systems, at the same time the individual algorithms for face detection and identification of persons are presented. Attention is paid to the analysis of current software manufacturers for Face Recognition with subsequent testing of two separate programs and one software, which is a product of the manufacturer of camera systems. © 2022 IEEE.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_028%2F0006243" target="_blank" >EF16_028/0006243: Rozvoj kapacit pro výzkum a vývoj UTB ve Zlíně</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings - 26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022

ISBN

978-1-66548-186-1

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

38-44

Název nakladatele

IEEE Computer Society Conference Publishing Services (CPS)

Místo vydání

Washington, DC

Místo konání akce

Chania

Datum konání akce

19. 7. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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