РАЗРАБОТКА МЕТОДА ВИЗУАЛЬНОЙ КЛАССИФИКАЦИИ ИЗДЕЛИЙ С ПОМОЩЬЮ КОМПЬЮТЕРНОГО ЗРЕНИЯ

dc.contributor.author	Ураимов Мухаммаддиёр Боходир угли
dc.contributor.author	Локтев Даниил Алексеевич
dc.date.accessioned	2025-12-28T19:29:18Z
dc.date.issued	2025-12-19
dc.description.abstract	The paper presents the development of a visual product classification method using computer vision technologies and deep convolutional neural networks. The proposed approach is designed for industrial quality control systems and allows automatic recognition of product types based on images. The model achieved high classification accuracy and demonstrated potential for real-world implementation.
dc.format	application/pdf
dc.identifier.uri	https://ejird.journalspark.org/index.php/ejird/article/view/1818
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/12867
dc.language.iso	eng
dc.publisher	Journal Park Publishing
dc.relation	https://ejird.journalspark.org/index.php/ejird/article/view/1818/1749
dc.rights	https://creativecommons.org/licenses/by-nd/4.0
dc.source	European Journal of Interdisciplinary Research and Development ; Vol. 46 (2025); 320-325
dc.source	2720-5746
dc.subject	computer vision, image classification, convolutional neural network, automation, quality control.
dc.title	РАЗРАБОТКА МЕТОДА ВИЗУАЛЬНОЙ КЛАССИФИКАЦИИ ИЗДЕЛИЙ С ПОМОЩЬЮ КОМПЬЮТЕРНОГО ЗРЕНИЯ
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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