Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

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

Authors
Shugang Liu, Mingchun Wang, Manna Liu
Corresponding Author
Shugang Liu
Available Online December 2018.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

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  - https://doi.org/10.2991/tlicsc-18.2018.70
ID  - Liu2018/12
ER  -