|Title||Determination of Objects Orientation in Assembly Lines using Neural Networks|
|Publication Type||Conference Paper|
|Year of Publication||1997|
|Authors||F. Lopez, J. Lopez, A. Vergara, and L. Pino|
|Conference Name||5th Intern. Conf. on Computer Aided Systems Theory and Technology (EUROCAST’97)|
|Conference Location||Las Palmas, Spain|
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.