- Tytuł:
- Development of a neural network structure for identifying begin-end points in the assembly process
- Autorzy:
- Kutschenreiter-Praszkiewicz, Izabela
- Powiązania:
- https://bibliotekanauki.pl/articles/24084694.pdf
- Data publikacji:
- 2023
- Wydawca:
- Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
- Tematy:
-
deep learning
assembly
begin-end point - Opis:
- The paper presents an approach to video-based assembly analysis using machine learning. A neural network is one of the machine learning methods that is widely studied in many engineering fields. The purpose of this paper is to develop a deep neural network structure for identifying begin-end points for a selected component assembly process. A neural network structure that effectively identifies begin-end points is proposed and an example from industry is presented. The proposed approach can prove useful in the assembly process analysis.
- Źródło:
-
Journal of Machine Engineering; 2023, 23, 2; 100-109
1895-7595
2391-8071 - Pojawia się w:
- Journal of Machine Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł