Development of real-time roughness monitoring during painting proses for cold rolled steel for national electric vehicle body materials

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automaker in Indonesia still using imported steel sheet especially for outer body panels. It is caused by quality of local steel sheet finishing performance. Therefore in this paper is conducted to implement real-time roughness monitoring system for painting process using local steel sheet. The monitoring is based on image processing technique to mimic human analysis to estimate roughness based on the reflective pattern. Verification of the image processing is compared with roughness measurement. The result shows that image processing technique give promising result. However optimization on image processing algorithm is necessary to optimise its potential.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Electrical Engineering and Computer Science, ICEECS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-297
Number of pages4
ISBN (Electronic)9781479984770
DOIs
Publication statusPublished - 18 Feb 2014
Event1st International Conference on Electrical Engineering and Computer Science, ICEECS 2014 - Denpasar, Indonesia
Duration: 24 Nov 201425 Nov 2014

Publication series

NameProceedings of 2014 International Conference on Electrical Engineering and Computer Science, ICEECS 2014

Conference

Conference1st International Conference on Electrical Engineering and Computer Science, ICEECS 2014
CountryIndonesia
CityDenpasar
Period24/11/1425/11/14

Keywords

  • Image processing
  • real-time monitoring
  • Vehicle outer body panels

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