A Smart Unstaffed Retail Shop Based on Artificial Intelligence and IoT

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

研究成果: 書貢獻/報告類型會議論文篇章同行評審

26 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538661512
DOIs
出版狀態已出版 - 29 10月 2018
事件23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018 - Barcelona, Spain
持續時間: 17 9月 201819 9月 2018

出版系列

名字IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
2018-September
ISSN(電子)2378-4873

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???event.eventtypes.event.conference???23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018
國家/地區Spain
城市Barcelona
期間17/09/1819/09/18

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