Research on the Application of Steel Plate Surface Defect Detection System Based on Machine Vision

DOI

10.2991/meita-16.2017.50How to use a DOI?

Keywords

Machine vision technology,Steel plate surface defect, Camera lens, Calibration technology, Scratch length detection.

Abstract

The quality control and detection method for traditional artificial steel plate surface is quite time-consuming and with low detection efficiency, which cannot meet actual demand of modern industry. This paper bases on machine vision technology to study steel plate surface defect detection system, which relies on computer science, robots science and visual calibration technology, perfectly replaced artificial automatic detection technology, can realize automatic detection for steel plate surface defects, not only greatly improved detection efficiency and quality, but also decreased labor cost. This paper mainly studies and summaries three aspects of the election of visual detection camera and lens, analysis on machine visual calibration technology and steel plate surface defect detection from machine vision.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xianfeng Liu
PY  - 2017/02
DA  - 2017/02
TI  - Research on the Application of Steel Plate Surface Defect Detection System Based on Machine Vision
BT  - Proceedings of the 2016 2nd International Conference on Materials Engineering and Information Technology Applications (MEITA 2016)
PB  - Atlantis Press
SP  - 244
EP  - 248
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-16.2017.50
DO  - 10.2991/meita-16.2017.50
ID  - Liu2017/02
ER  -