Determination of Objects Orientation in Assembly Lines using Neural Networks

TitleDetermination of Objects Orientation in Assembly Lines using Neural Networks
Publication TypeConference Paper
Year of Publication1997
AuthorsF. Lopez, J. Lopez, A. Vergara, and L. Pino
Conference Name5th Intern. Conf. on Computer Aided Systems Theory and Technology (EUROCAST’97)
Pagination183-189
Date PublishedFebruary
Conference LocationLas Palmas, Spain
Abstract

This paper is a first approach to the use of artificial neural networks as a tool to estimate the orientation of an object, and is mainly directed towards industrial applications. The capability of neural networks to generalise is a key element in the calculation of an object’s orientation. In this sense, a neural network can identify the angle of a part never seen before. To evaluate the efficiency of this method we have performed a series of tests with the different parts used in a car assembly line.
Citation KeyFranciscoLopez1997a