A Smart Unstaffed Retail Shop Based on Artificial Intelligence and IoT

Lizheng Liu, Bo Zhou, Zhuo Zou, Shih Ching Yeh, Lirong Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

36 Scopus citations

Abstract

Unstaffed retail shop has been emerging in the past years and significantly affected conventional shopping styles. In this area, unmanned retail container plays an important role, it can greatly influence the user shopping experience, the traditional way based on weighing sensors cannot sense what the customer is taking. This paper proposes a smart unstaffed retail shop scheme based on artificial intelligence (AI) and the internet ofthings (IoT), aiming at exploring the feasibility of implementing the unstaffed retail shopping style. Based on the data set of 11, 000 images in different scenarios that containing 10 different types of stock keeping unit (SKU), an end-to-end classification model trained by the MASK-RCNN method is developed for SKU counting and recognition, and the proposed solution in this study is able to achieve 97.7% counting accuracy and 98.7% recognition accuracy on the test dataset, which indicates that the system can make up for the deficiency of traditional unmanned container.

Original languageEnglish
Title of host publication2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538661512
DOIs
StatePublished - 29 Oct 2018
Event23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018 - Barcelona, Spain
Duration: 17 Sep 201819 Sep 2018

Publication series

NameIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
Volume2018-September
ISSN (Electronic)2378-4873

Conference

Conference23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018
Country/TerritorySpain
CityBarcelona
Period17/09/1819/09/18

Keywords

  • Artificial Intelligence
  • Internet of Things
  • MASK-RCNN
  • deep learning
  • unstaffed retail

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