Master's Thesis
Drones for Intralogistics using IoT
2021
—Key information
Authors:
Supervisors:
Published in
01/19/2021
Abstract
There is a growing desire for warehouse automation to reduce operational costs and improve logistics efficiency. In this work, we survey the state-of-the-art on the use of indoor drones for warehouse inventory leveraging current RFID technology. We propose a system architecture to automatically carry out warehouse inventorying by detecting RFID item tags while autonomously navigating the facility. A routing algorithm was developed for a Reserve Area of configurable dimensions. The navigation is complemented by leveraging OpenCV and the frontal camera to perform mid-flight corrections based on visual markers serving as reference points. We outline the proposed system architecture and develop it as a proof-of-concept design.
Publication details
Authors in the community:
Supervisors of this institution:
Susana Isabel Carvalho Relvas
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Fields of Science and Technology (FOS)
electrical-engineering-electronic-engineering-information-engineering - Electrical engineering, electronic engineering, information engineering
Publication language (ISO code)
eng - English
Rights type:
Embargo lifted
Date available:
12/18/2021
Institution name
Instituto Superior Técnico