The objective of this paper is the development of the computer vision tools for efficient inventory management of packages in a warehouse. Packages are identified by unique QR-codes and are required to be matched with the alphanumeric codes pasted on the shelves on which they are kept with pre-known dimensions. A modified version of this algorithm was implemented and used for IMAV 2019 indoor competition.