Automatic monitoring system designed to detect defects in PET preforms

Degtyareva K.V.; Nikolaev S.V.; Nelyub V.A.; Tynchenko V.S.; Borodulin A.S.

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Automatic monitoring system designed to detect defects in PET preforms : доклад, тезисы доклада / K. V. Degtyareva [et al.]. - [S. l. : s. n.], 2023. - Текст : непосредственный // E3S Web of Conferences / International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023) (2023 ; 09.10 - 13.10 ; Voronezh) : EDP Sciences, 2023. - 458. - P. 02002-02002. - DOI 10.1051/e3sconf/202345802002.

Аннотация: The goal of this work is to automate the defect detection system for PET preforms production. For this purpose, it is necessary to consider the machine vision method, which has hardware and software structures that include many technical components. The software in turn includes two parts: one is used in the computer for image processing and the other for controlling the mechanical components of the system. However, this is a very expensive and time-consuming process due to the collection of large amounts of information with labeled defect samples. As shown, this technology can improve the scope, efficiency, quality and reliability of industrial inspection, which in turn leads to a number of advances in modern industry. Also, the company is able to increase its productivity, reduce the cost of defect controllers' salaries, increase profits, and avoid creating situations in which equipment will be idle.

Год издания: 2023

Авторы: Degtyareva K.V. , Nikolaev S.V. , Nelyub V.A. , Tynchenko V.S. , Borodulin A.S.

Издательство: EDP Sciences

Источник: E3S Web of Conferences

Выпуск: 458

Мероприятие: International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023) (Voronezh, 2023 ; 09.10 - 13.10)

Номера страниц: 02002-02002

Держатель оригинала документа: Bauman Moscow State Technical University, Peter the Great St.Petersburg Polytechnic University, Reshetnev Siberian State University of Science and Technology

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Automatic monitoring system designed to detect defects in PET preforms
доклад, тезисы доклада, статья из сборника материалов конференций

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