55643

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Detection and Recognition of Manufacturing Defects of Rivet Joints by their Video Images Using Deep Neural Networks

ISBN/ISSN: 

978-172810061-6

DOI: 

10.1109/FarEastCon.2019.8934095

Наименование конференции: 

  • 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon, Vladivostok, Russia)

Наименование источника: 

  • Proceedings of the 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon, Vladivostok, Russia)

Город: 

  • Владивосток

Издательство: 

  • Institute of Electrical and Electronics Engineers Inc.

Год издания: 

2019

Страницы: 

https://ieeexplore.ieee.org/document/8934095
Аннотация
The issue of detecting and recognizing manufacturing defects in riveted joints using video content is presented. For the detection and classification of defects in riveted joints of aircraft, a computational method using deep neural networks has been developed. An illustrative example is given.

Библиографическая ссылка: 

Амосов О.С., Амосова С.Г., Иочков И.О. Detection and Recognition of Manufacturing Defects of Rivet Joints by their Video Images Using Deep Neural Networks / Proceedings of the 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon, Vladivostok, Russia). Владивосток: Institute of Electrical and Electronics Engineers Inc., 2019. С. https://ieeexplore.ieee.org/document/8934095.