APLIKASI PENGENALAN PLAT KENDARAAN BERBASIS PYTHON UNTUK IDENTITAS KEPEMILIKAN KENDARAAN

Abstract: The main problem contained in this research is creating a vehicle plate recognition
application and finding out Python-based vehicle plate data for vehicle ownership identity. The
goal to be achieved in the research is to find out Python-based vehicle plate data for vehicle
ownership identity. The type of research used is descriptive research which provides an overview
of what actually happened. The main problem in system development is the selection of a suitable
group of test cases, as small and fast as possible, to verify the behavior of the system in detail.
The results of the discussion can be concluded that the passing plate detection application system
not only uses object detection methods but also uses several libraries in the Python application.
In conclusion, in the application we designed, the level of accuracy of detecting a plate is only
80%, so the identity of the plate can only be detected. only rectangular objects, this is because
these objects have their own. angle, whereas if the plate is not in a square shape or is a different
color, the application cannot detect the plate because the application only reads the length and
width of the object.