Research on Machine Vision Detection Experiment Platform for Industry Products

DOI

10.2991/icmemtc-16.2016.268How to use a DOI?

Keywords

Parts inspection;Machine vision detection;Focusing evaluation function

Abstract

Key technologies of machine vision detection system for the industrial part are investigated and an intact set of high-speed detection system is developed. On the basis of introducing the entire design of machine vision platform, analyzing the software and hardware structure and fundamental principles of control units, this paper proposes that variance function shall be adopted for coarse tuning and the search algorithm of Roberts gradient sum function shall be adopted for fine tuning. The experimental results show that it only takes 3.246 second for this system to collect images, which meets the requirement of real-time online detection. This system is feasible for the detection experiments of industrial products.

Copyright

© 2016, 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  - Peng Ye
AU  - Xingyu Gao
PY  - 2016/04
DA  - 2016/04
TI  - Research on Machine Vision Detection Experiment Platform for Industry Products
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1373
EP  - 1378
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.268
DO  - 10.2991/icmemtc-16.2016.268
ID  - Ye2016/04
ER  -