CLASSIFICATION OF MATERIALS ON THE BASIS OF PHYSICAL PROPERTIES
We have delivered several machine-vision systems with parameterization capability to the plywood industry for the sorting of plywood sheets, for example. Committed to continuous product development, we apply the latest imaging, illumination, and software technology. The system is also suitable for other materials.
MATERIAL SURFACE CLASSIFICATION, NEURAL NETWORK SYSTEMS
Our new machine-vision system based on neural networks designed for material surface classification was developed in collaboration with top international experts.
Deep convolutional neural networks for surface quality classification allow the user to mark data manually, thereby teaching the system to localize and identify defects such as knots, holes, cracks, and wood rot in veneer.
In addition to veneer and plywood, the system can be used for many other materials. Contact our experts for further information.