scholarly journals Design and Development of a High Speed Sorting System Based on Machine Vision Guiding

2012 ◽  
Vol 25 ◽  
pp. 1955-1965 ◽  
Author(s):  
Wenchang Zhang ◽  
Jiangping Mei ◽  
Yabin Ding
2021 ◽  
Vol 71 (1) ◽  
pp. 27-38
Author(s):  
Tian-Hu Liu ◽  
Zi-Di Wu ◽  
Qin-Ling Chen ◽  
Xiang-Ning Nie ◽  
Gui-Qi Li ◽  
...  

Abstract The defect rate of initially produced block bamboo (Bambusoideae) parts is >20 percent. Sorting out these defective parts manually is a highly time-consuming and tedious process. An intelligent sorting system was developed based on machine vision using a Radial Basis Function (RBF) neural network learning algorithm in this study. First, a high-speed charge-coupled device camera was used to obtain a series of images of perfect and defective block bamboo parts. Next, the RBF neural-network learning algorithm was applied to obtain defect characteristics and to locate defective parts moving forward on a conveyor belt. An array of air jets was designed to force defective parts off the belt. Experimental results showed that the average defective part removal rate of the proposed system was 91.7 percent.


2018 ◽  
Vol 32 (34n36) ◽  
pp. 1840079
Author(s):  
Wensheng Huang ◽  
Hongli Xu

The application of machine vision to industrial robots is a hot topic in robot research nowadays. A welding robot with machine vision had been developed, which is convenient and flexible to reach the welding point with six degrees-of-freedom (DOF) manipulator, while the singularity of its movement trail is prevented, and the stability of the mechanism had been fully guaranteed. As the precise industry camera can capture the optical feature of the workpiece to reflect in the camera’s CCD lens, the workpiece is identified and located through a visual pattern recognition algorithm based on gray scale processing, on the gradient direction of edge pixel or on geometric element so that high-speed visual acquisition, image preprocessing, feature extraction and recognition, target location are integrated and hardware processing power is improved. Another task is to plan control strategy of control system, and the upper computer software is programmed in order that multi-axis motion trajectory is optimized and servo control is accomplished. Finally, prototype was developed and validation experiments show that the welding robot has high stability, high efficiency, high precision, even if welding joints are random and workpiece contour is irregular.


1993 ◽  
Author(s):  
David J. Litwiller ◽  
Mike Miethig ◽  
Brian C. Doody ◽  
P. Tom Jenkins

2013 ◽  
Vol 552 ◽  
pp. 313-318
Author(s):  
Yuan Gao ◽  
Guo Yu Zhang

A machine vision system for bearing outer diameter inspection has been developed in this paper. The infinite objective of optical system is applied to diameter measurement system. The paper provides a method for measuring the size of objects based on polynomial interpolation. The technology of CCD image stagger is applied in the paper. The method can avoid space between pixels astriction theoretically, so higher measurement accuracy is gained. The experiment results show that the system has many advantages such as non- touch , high speed and higher precision.


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