The use of aerial vehicles for warehouse autonomous inventorying has gained increasingly popularity over recent years. In this work, an approach built around the usage of unmanned aerial vehicles for warehouse scanning and Region-based Convolutional Neural Network (R-CNN) for autonomous inventorying activities is proposed. The experimental results obtained on video acquisitions of a real warehouse environment demonstrated the feasibility of the proposed solution and the possible margins of improvement.

An UAV Autonomous Warehouse Inventorying by Deep Learning

De Falco, Antonio;Narducci F.
;
Petrosino A.
2019-01-01

Abstract

The use of aerial vehicles for warehouse autonomous inventorying has gained increasingly popularity over recent years. In this work, an approach built around the usage of unmanned aerial vehicles for warehouse scanning and Region-based Convolutional Neural Network (R-CNN) for autonomous inventorying activities is proposed. The experimental results obtained on video acquisitions of a real warehouse environment demonstrated the feasibility of the proposed solution and the possible margins of improvement.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/77630
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