Development of a Neural Network Structure for Identifying Begin-end Points in the Assembly Process
1
Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biala
Willowa 2, 43-300 Bielsko-Biała, Poland, Poland
Submission date: 2023-01-10
Final revision date: 2023-04-15
Acceptance date: 2023-04-16
Online publication date: 2023-04-19
Publication date: 2023-06-12
Corresponding author
Izabela Kutschenreiter-Praszkiewicz
Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biala Willowa 2, 43-300 Bielsko-Biała, Poland, Poland
Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biala Willowa 2, 43-300 Bielsko-Biała, Poland, Poland
Journal of Machine Engineering 2023;23(2):100-109
KEYWORDS
TOPICS
ABSTRACT
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.
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