| Autor: |
Evgeniy V. Ershov, Yaroslav M. Trofimenko |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Cherepovets State University Bulletin. 1:68-77 |
| ISSN: |
1994-0637 |
| DOI: |
10.23859/1994-0637-2021-1-100-5 |
| Popis: |
A model for detecting objects in the image and a model for identifying steel-teeming ladles are discussed in the article. The object detection model is based on the use of a convolutional neural network. The identification model is based on the comparison of steel-teeming ladle features specific to the production process. The authors describe the adaptations of models to the conditions of the YOLOv3 architecture and the parameters of steel-teeming ladles in steel production. Simulation results are given at the end of the article. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
