On-line machine vision system for detect split defects in sheet-metal forming processes

2006 ◽  
Author(s):  
F. Gayubo ◽  
J.L. Gonzalez ◽  
E. de la Fuente ◽  
F. Miguel ◽  
J.R. Peran
Keyword(s):  
Machine Vision ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Vision System ◽  
Machine Vision System ◽  
On Line

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

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 Flexible Roll Forming on-Line Detection Algorithm Based on Machine Vision

2012 ◽  
Vol 457-458 ◽  
pp. 287-292 ◽  
Author(s):  
Xu Peng Li ◽  
Bo Qian ◽  
Qiang Li
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Detection Algorithm ◽  
Roll Forming ◽  
Loop Control ◽  
Flexible Roll Forming ◽  
Flexible Roll

For the flexible roll forming of the control system, this paper introduces a method that machine vision bind to the flexible roll forming control system. The detection method for sheet metal forming is image acquisition, image processing and other means for the extraction of sheet metal forming in some time section contour curve. Compare extraction section contour curve with the moment theory section contour curve in the control system, get the deviation value and feedback to the control system that interpolation arithmetic to realize closed loop control.

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

Sheet metal forming global control system based on artificial vision system and force–acoustic sensors

2008 ◽  
Vol 24 (6) ◽  
pp. 780-787 ◽  
Author(s):  
P. Fillatreau ◽  
F.X. Bernard ◽  
A. Aztiria ◽  
E. Sáenz de Argandoña ◽  
C. García ◽  
...  
Keyword(s):  
Control System ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Vision System ◽  
Artificial Vision ◽  
Acoustic Sensors ◽  
Global Control

Real-Time Identification and Control of Springback in Sheet Metal Forming

1987 ◽  
Vol 109 (3) ◽  
pp. 265-273 ◽  
Author(s):  
A. Chandra
Keyword(s):  
Real Time ◽  
Sheet Metal ◽  
Process Parameters ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Control Functions ◽  
Real Time Measurement ◽  
On Line ◽  
Real Time Identification ◽  
And Control

Sheet metal forming processes are prone to variations in material and process parameters. In an unmanned manufacturing cell, all the control functions must be automated and real-time measurement, identification, and control are necessary for satisfactory operation in the presence of these disturbances. A methodology is developed here for on-line identification of key material and process parameters in a combined stretch-bend situation. The springback predictions obtained from this scheme are verified, and an algorithm for on-line control of springback in plane strain stretch-bend operations is then discussed.

ИССЛЕДОВАНИЕ ТОЧНОСТИ ДЕТАЛЕЙ, ПОЛУЧАЕМЫХ ПРИ РАЗДЕЛИТЕЛЬНЫХ ОПЕРАЦИЯХ В ПЕРЕНАЛАЖИВАЕМЫХ ШТАМПАХ

2018 ◽  
pp. 52-63
Author(s):  
Е. А. Фролов ◽  
В. В. Агарков ◽  
С. И. Кравченко ◽  
С. Г. Ясько
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Balance Method ◽  
Experiment Planning ◽  
Practical Recommendations

To determine the accuracy of the readjustable punches for separating operations (perforation + punching out) of sheet-metal forming, the accuracy parameters were analyzed using the random balance method using the method of experiment planning. Analytical dependencies are obtained to determine the values of deviation of the outer and inner contour dimensions of perforated and punched out sheet parts. From the dependencies obtained, it is possible to estimate and predict the value of deviation in the dimensions of the resulting part at any time during the operation of the punch. Practical recommendations on the calculation of the actuating dimensions of the working elements (stamping punch, matrix) of readjustable punches are offered.

Multifunctional stereoscopic machine vision system with multiple 3D outputs

2020 ◽  
Keyword(s):  
Machine Vision ◽  
International Symposium ◽  
Fast Track ◽  
Vision System ◽  
Machine Vision System ◽  
Stereoscopic Displays ◽  
Electronic Imaging

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Stereoscopic Displays and Applications proceedings.

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