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Title: | Reliability testing of software designed to detect people |
Author: | Adámek, Milan; Mach, Václav; Ševčík, Jiří; Drofová, Irena; Valášek, Pavel; Gabko, Lukáš |
Document type: | Conference paper (English) |
Source document: | Proceedings - 26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022. 2022, p. 38-44 |
ISBN: | 978-1-6654-8186-1 |
DOI: | https://doi.org/10.1109/CSCC55931.2022.00017 |
Abstract: | 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. |
Full text: | https://ieeexplore.ieee.org/document/10017627 |
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