Issue |
E3S Web Conf.
Volume 548, 2024
X International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-X 2024)
|
|
---|---|---|
Article Number | 06005 | |
Number of page(s) | 10 | |
Section | Agricultural Mechanization, Civil Engineering and Energetics | |
DOI | https://doi.org/10.1051/e3sconf/202454806005 | |
Published online | 12 July 2024 |
The car paintwork defects contactless control system mathematical model
Togliatti State University, Belarusian Street, 14, Togliatti City, Samara Region, 445020, Russian Federation
* Corresponding author: L.Ugarova@tltsu.ru
The research is aimed at solving the problem of automating the search for visual defects in the car body paintwork. A digital image was used to search for paintwork defects. It is proposed to use a system based on a personal computer and an opto-digital module to obtain it. The image recognition process automation is achieved by applying various algorithms that ensure the corresponding subsystems operation. The image processing process involves the procedures for its evaluation and quality improvement production, as well as the objects recognition and the characteristics determination in the image. Carrying out these procedures requires the development of appropriate algorithms. The evaluating and improving the quality algorithm main function input image in relation to the problem being solved is to find possible paintwork defects in the image and bring the image quality to acceptable for further processing in case of defects.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.