| Issue |
MATEC Web Conf.
Volume 144, 2018
International Conference on Research in Mechanical Engineering Sciences (RiMES 2017)
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 12 | |
| Section | Manufacturing Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201814403008 | |
| Published online | 09 January 2018 | |
Vision system in quality control automation
Dept. of Mechanical Engineering, Malnad College of Engineering, Hassan 573202, Karnataka, India
* Corresponding author: shashanklingappam@gmail.com
Measurement of surface roughness is one of the quality control processes, usually carried out off line. Contact type surface roughness measurement method is commonly used in quality control. The processes consume lot of time with human interaction. In order to reduce or to eliminate non value added time, effective quality inspection tool and automation of the processes has to be utilized. An attempt has been made to automate the process with integration of vision camera in capturing the image of the component surface. The image process technique has the advantage of analyzing the single captured image for multiple area measurement. Hence, the in-line quality control of each component surface roughness measurement is ensured. The automation process involves component movement, image capturing, image processing, and decision making, using sensors, actuators and microcontroller. The proposed in-line quality control of surface roughness with vision system has been successfully developed. The designed automated system has fulfilled the objectives in respect of the scope of the present work.
Key words: Quality Control / Surface Roughness / Image Processing / Intensity Factor
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
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.