2-D Circle Measurement System for Small Rule Parts Based on Machine Vision

2011 ◽  
Vol 291-294 ◽  
pp. 2624-2629 ◽  
Author(s):  
Qing Hua Wu ◽  
Na Dai ◽  
Tao He
Keyword(s):  
Machine Vision ◽  
Measurement System ◽  
Vision System ◽  
Measured Data ◽  
Machine Vision System ◽  
Mechanical Parts ◽  
Vision Measurement ◽  
Ring Radius ◽  
On Line ◽  
Calibration Mark

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.

A machine vision system for on-line removal of contaminants in wool

Mechatronics ◽  
2006 ◽  
Vol 16 (5) ◽  
pp. 243-247 ◽  
Author(s):  
Zhenwei Su ◽  
Gui Yun Tian ◽  
Chunhua Gao
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Machine Vision System ◽  
On Line ◽  
Removal Of Contaminants

scholarly journals Detection of Foreign Materials in Wheat Kernels using Boundary Descriptors

2020 ◽  
Vol 9 (6) ◽  
pp. 1001-1009
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Recognition Task ◽  
Machine Vision System ◽  
On Line ◽  
Neural Classifier ◽  
Foreign Materials ◽  
Impurity Elements ◽  
Wheat Kernels ◽  
Regional Boundary

The present paper reports the development of a machine vision system for quality inspection of wheat using kernel shape attribute. Shape attribute of agricultural products including wheat kernels is extremely difficult to quantify in digital computation. A new method is proposed in the present work to quantify shape attribute of wheat kernels using regional boundary descriptors. Recognition task in the proposed machine vision system is carried out by neural classifier trained with Levenberg-Marquardt (LM) based supervised learning. Proposed neural classifier was executed using feed-forward backpropagation based three layer artificial neural network. Experimental results indicate more than 98.1% overall average classification accuracy for the involved wheat and impurity elements in the present work. The results of present study are quite promising and the proposed machine vision system has potential future for on-line inspection of agriculture produce in real time environment.

scholarly journals Machine vision system for on-line wholesomeness inspection of poultry carcasses

2010 ◽  
Vol 89 (6) ◽  
pp. 1252-1264 ◽  
Author(s):  
C.-C. Yang ◽  
K. Chao ◽  
M.S. Kim ◽  
D.E. Chan ◽  
H.L. Early ◽  
...  
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Machine Vision System ◽  
On Line

Effect of Calibration Grid Size and Position on Machine Vision Measurement

2012 ◽  
Vol 220-223 ◽  
pp. 1303-1306
Author(s):  
Jie Sun ◽  
Zeng Pu Xu ◽  
Cong Ling Zhou ◽  
Yong Qiang Wang
Keyword(s):  
Machine Vision ◽  
Measurement Errors ◽  
Measurement Accuracy ◽  
Corner Point ◽  
Vision System ◽  
Grid Size ◽  
Machine Vision System ◽  
Opposite Edge ◽  
Measuring Point ◽  
Vision Measurement

In order to improve the measurement accuracy of machine vision, this paper focuses on the effect of calibration grid size and position on machine vision measurement accuracy by analysing the measurement error of the points inside and outside of the grid. The experimental results show that the measurement accuracy of the internal points is higher than that of the external points. The measurement errors increase firstly, then decrease, increase, and finally decrease which measuring point from the edge to the opposite edge in the calibration grid. While measurement errors of outside points increases with the increasing distance to the corner point. If the center of calibration grid coincides with the center of calibration board, measurement accuracy is high. However, if the center of calibration grid doesn't coincide with the center of calibration board, measurement accuracy is low. This results may provide direct means for the application of machine vision system in engineering.

scholarly journals The Machine Vision Measurement Module of the Modularized Flexible Precision Assembly Station for Assembly of Micro- and Meso-Sized Parts

Micromachines ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 918
Author(s):  
Zhiyong Zhang ◽  
Xiaodong Wang ◽  
Hongtu Zhao ◽  
Tongqun Ren ◽  
Zheng Xu ◽  
...  
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Principal Point ◽  
Online Calibration ◽  
Vision Measurement ◽  
Final Integration ◽  
On Line ◽  
Orientation Deviation ◽  
Set Up ◽  
Different Diameters

The machine vision measurement module is indispensable for the Modularized Flexible Precision Assembly Station (MFPAS), which is a fully automatic assembly system being developed at Dalian University of Technology (DUT). MFPAS consists of basic and additional modules, and are expected to be flexible, expandable, and re-configurable to adapt to a variety of parts with a large size range, requiring the machine vision measurement module to be able to achieve accurate measurement of position, as well as orientation of the parts with different size scale. An automatic zooming vision system was set up for evaluation and final integration in MFPAS. Pixel equivalent, principal point and orientation deviation of images were analyzed and experimentally studied using different magnifications of the lens. A new template with circular patterns of different diameters was designed for zoom-lens calibration. The experiments show that the measurement error caused by the variation of the pixel equivalent, principal point and orientation is estimated under 10 μm without online calibration. When high accuracy is required, online calibration can be employed during assembly. The evaluation results of the vision system with or without on-line calibration were given for a better trade-off between accuracy and efficiency during assembly.

scholarly journals A Novel Method for Measuring the Length of Hot Large Forgings Based on Machine Vision System

2021 ◽  
Author(s):  
Bangguo Wang
Keyword(s):  
Machine Vision ◽  
Measurement System ◽  
Vision System ◽  
Hot Forging ◽  
Nuclear Industry ◽  
Length Measurement ◽  
Three Dimension ◽  
Machine Vision System ◽  
Strip Edge ◽  
Novel Method

Abstract Large forgings can be applied to manufacture key parts in large equipment used in petrochemical, shipbuilding, aerospace, nuclear industry. At present, the size of hot large forgings is mainly measured by hand-hold calipers or mechanical gauges through contact measurement method. In order to realize non-contact length measurement of hot large forgings, a novel method for measuring the length of hot large forgings based on machine vision system is proposed. Firstly, the light strips are recognized according to the continuous characteristics of the light stripes in the image acquired by the hot forging dimension measurement system based on machine vision. Secondly, using the sub-pixel edge of light strips acquired by the improved sub-pixel edge detection algorithm, the three-dimension (3D) points of each edge of light strips are calculated, respectively. Lastly, the two-dimensional (2D) points projected from the 3D points onto the fitted plane are used for curve fitting, and the edge of hot part corresponding to each light strip edge is calculated according to the curvature of the fitted curves. The distance between the start point and the edge point on each light strip edge is considered as the length of hot forging at the corresponding edge of each light strip. The length measurement experiment shows that the method can be used to calculate the length of hot large forgings. The measurement error of the length measurement system when measuring part at room temperature is 0.547%. The time for measuring the length of hot forging is 6.8s.

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