Rubber hose surface defect detection system based on machine vision

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Meng, Fanwu^1 ; Ren, Jingrui^1 ; Wang, Qi^1 ; Zhang, Teng^1

School of Mechanical Engineering, Beijing Institute of Technology, Beijing

100081, China^1

关键词: Automobile air conditioning;    Detection accuracy;    On-machines;    Surface defect detection systems;    Visual systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/2/022057/pdf
DOI  :  10.1088/1755-1315/108/2/022057

来源: IOP

【 摘 要 】

As an important part of connecting engine, air filter, engine, cooling system and automobile air-conditioning system, automotive hose is widely used in automobile. Therefore, the determination of the surface quality of the hose is particularly important. This research is based on machine vision technology, using HALCON algorithm for the processing of the hose image, and identifying the surface defects of the hose. In order to improve the detection accuracy of visual system, this paper proposes a method to classify the defects to reduce misjudegment. The experimental results show that the method can detect surface defects accurately.