DocumentCode
3352386
Title
Mechanism of eggs classification based on machine vision system
Author
Zhang, Ping ; Yu, Zhihong ; Han, Baosheng ; Jia, Chao ; Wang, Liang
Author_Institution
Coll. of Mech. & Electr. Eng., Inner Mongolia Agric. Univ., Hohhot, China
fYear
2010
fDate
26-28 June 2010
Firstpage
5718
Lastpage
5720
Abstract
This paper proposed a new method to solve the problems in the sorting and grading process of eggs,such as eggs friability, the low efficiency and the poor accuracy of the artificial classification. The crank-rocker mechanism with vacuum suctions was used to design a set of eggs grading hardware equipments based on machine vision system. The agency not only ensured the transmitting stability of eggs and matching with the equipment of eggs quality inspection based on machine vision system but also improved the efficiency and accuracy of sorting of eggs. Diameter and shape of the sucker, vacuum degree of micro-vacuum pump, pumping speed would directly affect the adsorption results through the calculation and analysis. Then the relevant parameters of the crank-rocker mechanism was determined, the convergence and matching with the egg-quality detecting equipment were completed through Pro / E virtual kinematics simulation.
Keywords
agricultural products; computer vision; pattern classification; vacuum pumps; artificial classification; crank rocker mechanism; egg quality detecting equipment; eggs classification; eggs grading hardware equipments; eggs quality inspection; machine vision system; microvacuum pump; vacuum suctions; virtual kinematics simulation; Convergence; Hardware; Inspection; Kinematics; Machine vision; Pumps; Shape; Sorting; Stability; Vacuum systems; crank-rocker; egg; grading; machine vision system; pro/E simulation; vacuum suction;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5535818
Filename
5535818
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