In this study, a model and solution are shown for controlling the inventory of a logistics
warehouse in which neither satellite positioning nor IoT solutions can be used. Following
a review of the literature on path planning, a model is put forward using a drone
that can be moved in all directions and is suitable for imaging and transmission.
The proposed model involves three steps. In the first step, a traversal path definition
provides an optimal solution, which is pre-processing. This is in line with the structure
and capabilities of the warehouse. In the second step, the pre-processed path determines
the real-time movement of the drone during processing, including camera movements
and image capture. The third step is post-processing, i.e., the processing of images
for QR code identification, the interpretation of the QR code, and the examination
of matches and discrepancies for inventory control. A key benefit for the users of
this model is that the result can be achieved without any external orientation tools,
relying solely on its own movement and the organization of a pre-planned route. The
proposed model can be effective not only for inventory control, but also for exploring
the structure of a warehouse shelving system and determining empty cells.
