Email this article DEVELOPMENT OF A CASCADE ALGORITHM FOR MONITORING THE MOVEMENT OF PARTS DURING THEIR MANUFACTURE
- Authors: Kiseleva P.I.1, Pechenina E.Y.1, Pechenin V.A.1
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Affiliations:
- Samara National Research University (Samara University)
- Issue: Vol 9, No 3 (2023)
- Pages: 49-55
- Section: Articles
- URL: https://journals.rcsi.science/2409-4579/article/view/249377
- DOI: https://doi.org/10.18287/2409-4579-2023-9-3-49-55
- ID: 249377
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Abstract
A cascade algorithm has been developed that allows identification of contents in production containers. The algorithm consists of two stages: detection of container cells and classification of the contents of each cell. The proposed algorithm makes it possible to achieve a classification accuracy of 89% when trained on a relatively small sample size than would be required when using a direct part detection algorithm, without the cell detection stage. The algorithm is thus suitable for use in environmental monitoring systems in aerospace manufacturing.
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About the authors
Polina I. Kiseleva
Samara National Research University (Samara University)
Email: kiseleva.pi@ssau.ru
master of group 3202-240405D
34, Moskovskoye shosse, Samara, 443086, Russian FederationEkaterina Yu. Pechenina
Samara National Research University (Samara University)
Email: ek-ko@list.ru
assistant at the department of engine production technologies
34, Moskovskoye shosse, Samara, 443086, Russian FederationVadim A. Pechenin
Samara National Research University (Samara University)
Author for correspondence.
Email: v.a.pechenin@ssau.ru
candidate of technical sciences, associate professor of the department of engine production technologies
34, Moskovskoye shosse, Samara, 443086, Russian FederationReferences
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