Detection of Glue Spray on Bottom of Vehicle Based on Machine Vision

DOI

10.2991/ncce-18.2018.78How to use a DOI?

Keywords

Glue spray, Machine vision, intelligent detection

Abstract

With the continuous development of machine vision, intelligent detection of bottom spray glue has gradually become a reality. In this paper, we proposed an algorithm of detection the glue spray on bottom of vehicle based on machine vision. By sampling and detecting the spray interest area, the algorithm can obtain its features which were used for intelligent identification of the spray interest area, and then carry out the pseudo target and detect whether the detection area is complete or not. It can test the vehicles on pipeline in real time. On the average, each frame’s processing time is less than 150ms. If there is an unqualified area, it will alarm and inform the operators of the wrong position. The algorithm can improve the quality of the vehicle and save human resources, and identify the spray interest area with high accuracy. The research directions in the future is to accelerate the speed to meet the practical application requirements, and to solve the intelligent identification of the spray interest area which has the same color with the vehicle body

Copyright

© 2018, 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/).

Download article (PDF)

TY  - CONF
AU  - Dongyang Liu
AU  - Jindong Zhang
AU  - Xiaofeng Zhang
AU  - Xiaoyu Ma
AU  - Yuxin Kou
PY  - 2018/05
DA  - 2018/05
TI  - Detection of Glue Spray on Bottom of Vehicle Based on Machine Vision
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 496
EP  - 500
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.78
DO  - 10.2991/ncce-18.2018.78
ID  - Liu2018/05
ER  -