A planogram is the graphical representation of the way a given number of products are positioned within the shelves in a store. The creation of a correct planogram is a fundamental tool for a store's performance: it helps to increase sales and achieve maximum customer satisfactionby reducing out-of-stocks. To this end, this work aims to provide an automatic object recognition based system that allows the operator to verify the correctness of a planogram. For image acquisition, either low-cost battery-powered cameras positioned on the opposite side of the shelf or simply a tablet with a dedicated app can be used. These tools are connected to the cloud where the detection and matching phases are performed. The experimental results come from a real environment.

A deep learning approach for product detection in intelligent retail environment

Pazzaglia G.;Mameli M.;Frontoni E.;Zingaretti P.;Pietrini R.;Manco D.;
2021-01-01

Abstract

A planogram is the graphical representation of the way a given number of products are positioned within the shelves in a store. The creation of a correct planogram is a fundamental tool for a store's performance: it helps to increase sales and achieve maximum customer satisfactionby reducing out-of-stocks. To this end, this work aims to provide an automatic object recognition based system that allows the operator to verify the correctness of a planogram. For image acquisition, either low-cost battery-powered cameras positioned on the opposite side of the shelf or simply a tablet with a dedicated app can be used. These tools are connected to the cloud where the detection and matching phases are performed. The experimental results come from a real environment.
2021
978-0-7918-8543-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/297540
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