  Focus of this work is to recognize standards and further features directly
from 3D CAD models. For this reason, a neural network was trained to recognize
nine classes of machine elements. After the system identified a part as a
standard, like a hexagon head screw after the DIN EN ISO 8676, it accesses the
geometrical information of the CAD system via the Application Programming
Interface (API). In the API, the system searches for necessary information to
describe the part appropriately. Based on this information standardized parts
can be recognized in detail and supplemented with further information.
