Proceedings of the 5th International Conference on Social Sciences and Economic Development (ICSSED 2020)

The Technical Solutions of Intelligent Venue and the Composition of Its Business Module

Authors
Shuyi Wu, Ye Jin, Jiankang Zhang
Corresponding Author
Jiankang Zhang
Available Online 2 April 2020.
DOI
https://doi.org/10.2991/assehr.k.200331.046How to use a DOI?
Keywords
intelligent venue, speech recognition, business module
Abstract
Speech recognition solution,database solution and AI application solution are three technical solutions of intelligent venue.The business module of speech recognition solution includes intelligent speech interaction module and AIUI module.The business module of the database solution includes data backup module,log data module,data collection and annotation module,and information flow module.The business module of AI application solution includes location based service module,face recognition module and data collection and marking module.Exhibition enterprises should further explore the technical solutions of intelligent venue and innovate business module design to meet the needs of conference intelligence operation.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
5th International Conference on Social Sciences and Economic Development (ICSSED 2020)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
2 April 2020
ISBN
978-94-6252-946-5
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.200331.046How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shuyi Wu
AU  - Ye Jin
AU  - Jiankang Zhang
PY  - 2020
DA  - 2020/04/02
TI  - The Technical Solutions of Intelligent Venue and the Composition of Its Business Module
BT  - 5th International Conference on Social Sciences and Economic Development (ICSSED 2020)
PB  - Atlantis Press
SP  - 206
EP  - 209
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200331.046
DO  - https://doi.org/10.2991/assehr.k.200331.046
ID  - Wu2020
ER  -