Design and Manufacturing of a Color Defect Detection Robot Using Defect Skeleton Extraction
Nowadays, machine vision is getting popular in control methods. In this paper, design and manufacturing of a defect detection and correction robot of colored surfaces is described. To achieve this goal, a Cartesian robot was designed, in manufacturing of which precision engineering principles were taken into consideration. The correction of defected surfaces requires the coordinates of defects on the surface. Thus, an algorithm is implemented to find these coordinates. The proposed algorithm detects defected colored surfaces, according to image processing principles, machine vision and using morphological operators and next, a skeleton of defect is generated. This is the optimum path that is passed to robot This path is translated into planar coordinates and is sent to drive unit of the robot, which is to remove the defect using the aforementioned path. In order to examine the operation of this robot, it was tested on different samples with different defects in the color of the surface. This is an experimental realization of car body manufacturing paint line, where there are defects in body paint The results showed that the robot is more reliable than conventional methods, like human observation based method in production line to discovery and correction of defects.
defect detection robot vision skeleton extraction Cartesian robot precision engineering
Mohsen Dorraki Navid Azadi
Amirkabir University of Technology Electrical Engineering Department Tehran, Iran Amirkabir University of Technology Mechanical Engineering Department Tehran, Iran
国际会议
2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)
长沙
英文
670-674
2010-12-14（万方平台首次上网日期，不代表论文的发表时间）