Title :
Improving the piston assembly by machine vision recognition technology
Author :
Xiao-feng Yue ; Ren, Van-Wen ; Song Lei ; Wei, Wang
Author_Institution :
Coll. of Mech. & Electr. Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
The things of missed assembling, reversed assembling and mixed assembling of the pistons happen from time to time. The assemble quality of pistons has severe influence on the performance of vehicle engine. With the aid of machine vision recognition technology, these mistakes could be successfully avoided; it makes the piston assembling quality stable and labor intensity lower.
Keywords :
assembling; computer vision; engines; pistons; production engineering computing; machine vision recognition technology; mixed assembling; piston assembling quality; reversed assembling; vehicle engine; Assembly; Pistons; Pixel; Machine vision recognition; Mixed central moment function; Piston Assembling;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5609718
