Research on Intelligent Shelf based on Raspberry Pi Software and Big Data

DOI

10.2991/tlicsc-18.2018.70How to use a DOI?

Keywords

Raspberry Pi; The Intelligent Shelf System; Image Processing.

Abstract

With the development of science and technology, intelligent facility has already become an indispensable part of our life. At the same time, shopkeepers want a convenient and inexpensive facility to cut the labor cost. To meet their needs, we decide to design an Intelligent Shelf System. The Intelligent Shelf System should include four parts: shelf management, behavior identification, data upload and image update. After the system has been tested, we find that the system can identify 98.4% of goods on average.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shugang Liu
AU  - Mingchun Wang
AU  - Manna Liu
PY  - 2018/12
DA  - 2018/12
TI  - Research on Intelligent Shelf based on Raspberry Pi Software and Big Data
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 434
EP  - 437
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.70
DO  - 10.2991/tlicsc-18.2018.70
ID  - Liu2018/12
ER  -