[ ] SIENA

Stimulation Initiative for European Neural Applications

Esprit Project 9811



Case Studies of Successful Applications



Facilities for Material-Specific Sorting and Selection

Company background

Company background: TZN is a research and development company with headquarters in Unterlüß, Germany

The problem

The countless synthetic packings are a great challenge for refuse disposal. In Germany, for example, recycling of synthetic packings is laid down legally. Until now, sorting -as a part of this process- was time-consuming and caused enormous costs because the sorting out of synthetic packings was mainly done manually.

Neural network application

A system of sensors registers the individual objects. The follow-up software, based on neural network technology, decides to which class of material the registered object belongs and provides the facilities for sorting with this information.

Benefits

The application of neural networks replaces the costly manual sorting process by an automatically-driven system, even avoiding direct contact with the objects. Furthermore, supplementing the system with a sensor for color-detection allows for the extraction of high-quality synthetic material of pure sort and color.

Generalization

This application illustrates the growing importance of neural network technology for environmental protection.

Contact person

Dr. Gerhard Glotz - TZN Forschungs- und Entwicklungszentrum Unterlüß GmbH. Neuensothriether Straße 20, D-29345 Unterlüß. Phone: +49 5827 87-661, Fax: +49 5827 5356.