Watcher of the Warehouse: Edge-Based Low Power Inventory Management Using Nano Drones

Kumar, IN and Bandyopadhyay, S and Reddy, P and Godkhindi, SS and Prabhakar, TV (2024) Watcher of the Warehouse: Edge-Based Low Power Inventory Management Using Nano Drones. In: UNSPECIFIED, pp. 315-317.

PDF 16th_Int_con_com_sys_net_2024.pdf. - Published Version Restricted to Registered users only Download (3MB) | Request a copy

Abstract

The use of autonomous unmanned aerial vehicle (UAV) for automated inventory has gained a lot of attention in recent years. However, the use of UAVs poses challenges such as dynamic obstacle avoidance, precise identification, and flight automation. In this paper, we have proposed a low-cost, energy-efficient QR code based inventory management system using nano drones. We have implemented a hybrid path planner for nano drone navigation and dynamic obstacle avoidance. A lightweight QR code detection algorithm is incorporated for the inventory of products. Finally, a dead reckoning algorithm is implemented to estimate the 3D coordinates of the products. All designed algorithms are lightweight and suitable for nano drones with minimal payload capacity, addressing challenges in maneuverability, flight path control, and space constraints in small-scale warehouses. © 2024 IEEE.

Item Type:	Conference Paper
Publication:	2024 16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology) Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Date Deposited:	14 May 2024 11:21
Last Modified:	14 May 2024 11:21
URI:	https://eprints.iisc.ac.in/id/eprint/84441

Actions (login required)

View Item