scholarly journals Application of Computer-based Machine Vision Measurement System in Industrial On-line Detection

2021 ◽  
Vol 1992 (2) ◽  
pp. 022062
Author(s):  
Yuanyuan Zhao
2011 ◽  
Vol 291-294 ◽  
pp. 2624-2629 ◽  
Author(s):  
Qing Hua Wu ◽  
Na Dai ◽  
Tao He

A Circle-shape is an important figure in most small rule mechanical parts, and usually be measured to get the radius or used as a stand calibration mark. In this paper, a 2-D circle measurement system for small rule mechanical parts based on machine vision is designed and built. The basic components and work principle of the machine vision measurement system are introduced, and the measurement produce is designed and discussed. An available algorithm for circle contour detected and fitted is described. Using this algorithm, the measurement software flow and architecture are built and the software system realized in the Microsoft visual studio program platform. Certainly, the calibration of machine vision system is introduced also. Using the system and method introduced above, an experiment is designed to measure the outer ring radius of one certain model bearing. The measured data is processed and analyzed. Through the experiment and result, it can be found that the measurement system can get relatively high precision and the measurement method is relatively steady, and the system precision and speed can be suit for the demand of on-line and real-time circle measurement.


2012 ◽  
Vol 616-618 ◽  
pp. 1993-1996
Author(s):  
Yu Zhuo Men ◽  
Hai Bo Yu ◽  
Hua Wang ◽  
Jin Gang Gao ◽  
Xin Pan

On-line detection method for automobile frame side rail process holes is proposed in this articled. It is achieved by virtue of machine vision technology detection method. Many images captured by CCD camera are processed and analyzed to finally complete the automatic detection of automobile chassis frame process holes. Machine vision technology is applied to achieve the on-line detection of machining quality of frame side rail mounting holes. The developed detection system prototype has very high detection accuracy.


2012 ◽  
Vol 562-564 ◽  
pp. 1340-1343
Author(s):  
Kai Niu ◽  
Hui Yu Xiang ◽  
Jia Liu ◽  
Bao An Han

In recent years, with the research intensity of machine vision in universities are increased ceaselessly, the achievement in machine vision’ field is gradually applied to all walks of life. This paper mainly discusses how the theory of machine vision applied in the practical measurement, and develops the overall measurement platform. Through the program operating in the computer, finally realizes the control of platform operation. It can collect multiple images; what’s more realize image processing and world coordinate calculation, providing a platform for the future research and application.


2020 ◽  
Vol 1654 ◽  
pp. 012025
Author(s):  
Zeru An ◽  
Bingguo Liu ◽  
Guodong Liu ◽  
Binghui Lu ◽  
Zhitao Zhuang ◽  
...  

2005 ◽  
Vol 295-296 ◽  
pp. 399-404
Author(s):  
X.Y. Yu ◽  
F.B. Zhang ◽  
H.J. Yuan ◽  
Z.G. Lang

The objective of this work is to develop a 3D measuring system for on-line 3D measurement in industry locale. Our system is based on the depth image using a structured-light method. A generator emitting a single stripe light and a camera are used to establish a 3D vision measurement system which is also called as a subsystem. But it only can obtain the depth image of a part at the measured object section. Our system is made up of four subsystems placed symmetrically in space. The depth images obtained by the subsystems are joined to form the depth image of a full section. If the object is uniformly shafted along a fixed beeline direction, the depth image of the full object surface is achieved. The indefiniteness in the image combination criterion can be removed when using the depth image. This paper introduces the system principle and the mathematical model. The algorithm is proposed with system parameters. A prototype is developed. The system has the range of 100mm in height x 100mm in width. The length is not limited. The measuring error is less than 0.5mm in height and width and less than 0.01mm in length. The characteristics make the system suitable for on-line 3D shape measurement and non-contact measurement with high speed.


2003 ◽  
Author(s):  
Huijie Zhao ◽  
Yonggang Li ◽  
Peng Du

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