Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2019
Abstract
In this study, we present an IoT-driven solution for human traffic management in a corporate cafe. Using IoT sensors, our system monitors human traffic in a physical cafe located at a large international corporation located in Singapore. The backend system analyzes the streaming data from the sensors and provides insights useful to the cafe visitors as well as the cafe manager.
Keywords
Smart cafe, Internet-of-Things, sensors, analytics
Discipline
Artificial Intelligence and Robotics | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
2019 IEEE International Conference on Big Data (Big Data): Los Angeles, CA, December 9-12: Proceedings
First Page
6186
Last Page
6188
ISBN
9781728108582
Identifier
10.1109/BigData47090.2019.9005489
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Embargo Period
6-3-2021
Citation
PRITHIVIRAJAN, Maruthi and SHIM, Kyong Jin.
An IoT-driven smart cafe solution for human traffic management. (2019). 2019 IEEE International Conference on Big Data (Big Data): Los Angeles, CA, December 9-12: Proceedings. 6186-6188.
Available at: https://ink.library.smu.edu.sg/sis_research/5986
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/BigData47090.2019.9005489