DocumentCode
479803
Title
A Mechanical Part Sorting System Based on Computer Vision
Author
You, Fu-cheng ; Zhang, Yong-Bin
Author_Institution
Inf. & Eng. Sch., Beijing Inst. of Graphic Commun., Beijing
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
860
Lastpage
863
Abstract
In order to sort out different parts, computer vision is usually used to recognize parts with features on the sorting production line of mechanical parts. As for the core of machine vision, the design of computer vision software, VC++ program method is usually adopted to develop it. The developers need to encapsulate a special class for image process. And methods of pattern recognition are used to recognize object, whose development efficiency is very low. It is difficult to solve the problem of code optimization and the development efficiency of the method. In this paper the system of combining specialized machine vision software platform (e.g. HDevelop) and current development tool VC++ is proposed to recognize and sort out mechanical parts on the production line, so as to greatly improve development efficiency and running speed of the system. In the end of this paper, an experimental example is given to sort various mechanical parts in image by calculating circularity and area features and using recognition rules.
Keywords
C++ language; computer vision; image recognition; materials handling; mechanical products; object recognition; production facilities; visual programming; VC++ development program tool; class encapsulation; code optimization; computer vision software; machine vision software platform; mechanical part recognition; mechanical part sorting system; object recognition; pattern recognition; production line; Automatic control; Cameras; Computer graphics; Computer vision; Image processing; Light sources; Machine vision; Object recognition; Production; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.258
Filename
4721885
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