Title :
Optimal sequence planning for automobile gauge panel image inspection
Author :
Liu, Shuguang ; Liu, Mingyuan ; Wang, Dongwen
Author_Institution :
Sch. of Electron. & Inf., Xi´´an Polytech. Univ., Xi´´an
Abstract :
An optimal inspection sequence planning method in spot-check of gauge panel is studied in this paper. Experiments using Hopfield neural network is carried out and a new method combining global planning with local complete searching is put forward. On the basis of the research works above, a machine vision inspection system for automobile gauge panel is successfully developed. It is used in the automobile assemble line, performing quality inspection task with good optimal solution for random distributed points with a fairly large number.
Keywords :
Hopfield neural nets; assembling; automotive components; image sequences; inspection; production engineering computing; production planning; Hopfield neural network; automobile assemble line; automobile gauge panel image inspection; machine vision inspection system; optimal inspection sequence planning method; quality inspection task; random distributed points; Assembly; Automatic control; Automobiles; Cameras; Computer errors; Computer numerical control; Hopfield neural networks; Inspection; Machine vision; Petroleum; Machine vision; gauge panel; inspection; optimization; sequence planning;
Conference_Titel :
System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1786-5
Electronic_ISBN :
978-1-4244-1787-2
DOI :
10.1109/ASC-ICSC.2008.4675544
