|Title||Neural Networks Applied to the Estimation of Object Orientation|
|Publication Type||Conference Paper|
|Year of Publication||1998|
|Authors||J. Lopez, J. Lopez, J. A. Manceras, and A. Mana|
|Conference Name||International Conference on Imaging Science, Systems, and Technology (CISST’98)|
|Conference Location||Las Vegas, USA|
We present in this paper a first approach to the use of artificial neural as a tool to determine the orientation of objects moving on a conveyor belt in a car assembly line. 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 with Competitive Hebbian Learning can identify the angle of a part never used in its training process. The equilibrium between exactitude and processing time is also studied.
Neural Networks Applied to the Estimation of Object Orientation