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Bulletin of Abai KazNPU. Series of Physical and mathematical sciences
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Vol. 81 No. 1 (2023)

USING IoT FOR WEB APPLICATIONS WITH FACE RECOGNITION METHOD IN DISTANCE LEARNING

Published March 2023

138

67

Sh.S. Tutkyshbayev+−
L.N.Gumilev Eurasian national university, Astana, Kazakhstan
A.B. Zakirov+−
L.N.Gumilev Eurasian national university, Astana, Kazakhstan
L.N.Gumilev Eurasian national university, Astana, Kazakhstan
L.N.Gumilev Eurasian national university, Astana, Kazakhstan
DOI: 10.51889/2959-5894.2023.81.1.032
Abstract

The article is devoted to the methodology and new technology of image and face recognition, which are relevant during the pandemic and distance learning. The methods used to create image recognition technologies and their practical results are considered in detail. The result of the Face ID algorithm using the face recognition method was shown in a web application. During the experiment, the advantages and disadvantages of the face recognition method were determined. The article contains a comparative indicator of facial recognition methods in the following categories: facial recognition accuracy; face recognition time; the occurrence of a problem in facial recognition. Among the methods of facial recognition for a web application, the Viola-Jones method showed the best results.

The article shows the result of using the Viola-Jones method for authentication and identification on a real example. The program code of the Viola-Jones method in the PHP programming language is given.

pdf
Keywords
distance learning methodology image recognition identification of a person Viola-Jones method PHP MySQL
Language

English

How to Cite

[1]
Tutkyshbayev, S. and Zakirov, A. 2023. USING IoT FOR WEB APPLICATIONS WITH FACE RECOGNITION METHOD IN DISTANCE LEARNING. Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 81, 1 (Mar. 2023), 281–288. DOI:https://doi.org/10.51889/2959-5894.2023.81.1.032.