Reliability testing of software designed to detect people

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Reliability testing of software designed to detect people

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/EF16_028%2F0006243" target="_blank" >EF16_028/0006243: The Development of Capacity for Research and Development of TBU in Zlín</a><br>

Continuities

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

Publication year

2022

Confidentiality

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

Article name in the collection

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

ISBN

978-1-66548-186-1

ISSN

—

e-ISSN

—

Number of pages

7

Pages from-to

38-44

Publisher name

IEEE Computer Society Conference Publishing Services (CPS)

Place of publication

Washington, DC

Event location

Chania

Event date

Jul 19, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—