| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7122762 | Measurement | 2016 | 9 Pages |
Abstract
O-rings are one of the most common seals used in industry. Precision measurement and inspection of O-rings play a vital role in seal quality control. Human inspection is a traditional way to remove defective O-rings, which is instable and time consuming. The aim of this paper is to utilize the detection algorithms based on computer vision technology to control the quality of O-rings, which includes the accurate measurement algorithm for the internal/sectional diameter and the classification algorithm for the surface defects. A machine vision system is implemented analyze the captured images of O-rings and perform the measurement and inspection processes. The proposed system is evaluated by inspecting a series of O-rings. Experimental results show that the proposed vision system is capable for measuring and inspecting O-rings seal with good accuracy and efficiency.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Gaoliang Peng, Zhujun Zhang, Weiquan Li,