Warehouse Management Using Real-Time QR-Code and Text Detection

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Abstract

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.

Publication
In 11th International Micro Aerial Vehicles competition and conference, Madrid, Spain, 2019.
Debjoy Saha
Debjoy Saha
B.Tech Student

B.tech stduent interested in Multimodal Machine Learning and Speech, Language and Image Processing