Each application differs from all others. The algorithms for vehicle license plate recognition can therefore be parameterized in various ways. This allows us to adapt the system to the specific requirements of each application. Also the camera used is often equipped with a lot of parameters, which must be adjusted optimally. During commissioning, a more or less well adapted system parameterization is performed in sequence. Afterwards, the system runs frequently for several days in the test run while automatically storing test images. These images can later be analyzed offline in our simulation, in which the system settings can be successively optimized. Finally, the found parameters are transferred to the system.

HinnNprServer is characterized by a particularly extensive flexibility. The possibilities of this license plate recognition software are enormous, hardly an application which could not be realized with it.

Pollux and Castor, on the other hand, are self-sufficient devices with an enormous robustness, suitable for standard applications where special operational safety is important and the interchangeability of the components is required.