About this Abstract |
Meeting |
1st World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2022)
|
Symposium
|
First World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2022)
|
Presentation Title |
Methods of Surface Inspection for Plane Metal with the Use of CV |
Author(s) |
Maxim Shamshin |
On-Site Speaker (Planned) |
Maxim Shamshin |
Abstract Scope |
The paper analyzes the application of methods and computer vision algorithms based on the determination of texture features for the problem of flat rolled products surface defects detecting from the image. It is shown that the efficiency of deterministic methods is not inferior to the efficiency of methods based on deep learning algorithms and artificial neural networks, which currently have difficulties for their practical application in industry. At the same time, deterministic algorithms make it easy to interpret intermediate and final analysis results. The experience of industrial application of deep leаrning and deterministic algorithms in metallurgical production is also considered. |
Proceedings Inclusion? |
Undecided |