Smarteria: Intelligent Cafeteria Using Multimodal Data

Yuri Seo; Teh Jen Sun; Seol Roh; In hun Choi; Gi dae Hong; Hong Ju Jeong; Seung Woo Jeong; Choong Seon Hong; Seong Bae Park; Eui Nam Huh

doi:10.1007/978-981-99-1252-0_93

Smarteria: Intelligent Cafeteria Using Multimodal Data

Yuri Seo, Teh Jen Sun, Seol Roh, In hun Choi, Gi dae Hong, Hong Ju Jeong, Seung Woo Jeong, Choong Seon Hong, Seong Bae Park, Eui Nam Huh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Convergence technologies including the Internet of Things, Big Data, and Artificial Intelligence can detect and respond to dangerous situations through real-time monitoring. Meanwhile, the cafeteria environment has required safety management as it is exposed to various accident risks. Therefore, we conducted a study that applied multimodal data and artificial intelligence for the real-time safety management of the cafeteria environment. We show that multimodal data can improve accuracy in real-time detection. Thus, combining Artificial Intelligence with a multimodal sensors environment will be effective in various real-time safety managements.

Original language	English
Title of host publication	Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022
Editors	Ji Su Park, Laurence T. Yang, Yi Pan, Yi Pan, Jong Hyuk Park
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	693-702
Number of pages	10
ISBN (Print)	9789819912513
DOIs	https://doi.org/10.1007/978-981-99-1252-0_93
Publication status	Published - 2023
Event	14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022 - Vientiane, Lao People's Democratic Republic Duration: 19 Dec 2022 → 21 Dec 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1028 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022
Country/Territory	Lao People's Democratic Republic
City	Vientiane
Period	19/12/22 → 21/12/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Intelligent cafeteria
Multimodal data
Object detection

Access to Document

10.1007/978-981-99-1252-0_93

Cite this

Seo, Y., Sun, T. J., Roh, S., Choi, I. H., Hong, G. D., Jeong, H. J., Jeong, S. W., Hong, C. S., Park, S. B., & Huh, E. N. (2023). Smarteria: Intelligent Cafeteria Using Multimodal Data. In J. S. Park, L. T. Yang, Y. Pan, Y. Pan, & J. H. Park (Eds.), Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022 (pp. 693-702). (Lecture Notes in Electrical Engineering; Vol. 1028 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1252-0_93

Seo, Yuri ; Sun, Teh Jen ; Roh, Seol et al. / Smarteria : Intelligent Cafeteria Using Multimodal Data. Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022. editor / Ji Su Park ; Laurence T. Yang ; Yi Pan ; Yi Pan ; Jong Hyuk Park. Springer Science and Business Media Deutschland GmbH, 2023. pp. 693-702 (Lecture Notes in Electrical Engineering).

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title = "Smarteria: Intelligent Cafeteria Using Multimodal Data",

abstract = "Convergence technologies including the Internet of Things, Big Data, and Artificial Intelligence can detect and respond to dangerous situations through real-time monitoring. Meanwhile, the cafeteria environment has required safety management as it is exposed to various accident risks. Therefore, we conducted a study that applied multimodal data and artificial intelligence for the real-time safety management of the cafeteria environment. We show that multimodal data can improve accuracy in real-time detection. Thus, combining Artificial Intelligence with a multimodal sensors environment will be effective in various real-time safety managements.",

keywords = "Intelligent cafeteria, Multimodal data, Object detection",

author = "Yuri Seo and Sun, {Teh Jen} and Seol Roh and Choi, {In hun} and Hong, {Gi dae} and Jeong, {Hong Ju} and Jeong, {Seung Woo} and Hong, {Choong Seon} and Park, {Seong Bae} and Huh, {Eui Nam}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022 ; Conference date: 19-12-2022 Through 21-12-2022",

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doi = "10.1007/978-981-99-1252-0_93",

language = "English",

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pages = "693--702",

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Seo, Y, Sun, TJ, Roh, S, Choi, IH, Hong, GD, Jeong, HJ, Jeong, SW, Hong, CS , Park, SB & Huh, EN 2023, Smarteria: Intelligent Cafeteria Using Multimodal Data. in JS Park, LT Yang, Y Pan, Y Pan & JH Park (eds), Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022. Lecture Notes in Electrical Engineering, vol. 1028 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 693-702, 14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022, Vientiane, Lao People's Democratic Republic, 19/12/22. https://doi.org/10.1007/978-981-99-1252-0_93

Smarteria: Intelligent Cafeteria Using Multimodal Data. / Seo, Yuri; Sun, Teh Jen; Roh, Seol et al.
Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022. ed. / Ji Su Park; Laurence T. Yang; Yi Pan; Yi Pan; Jong Hyuk Park. Springer Science and Business Media Deutschland GmbH, 2023. p. 693-702 (Lecture Notes in Electrical Engineering; Vol. 1028 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Smarteria

T2 - 14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022

AU - Seo, Yuri

AU - Sun, Teh Jen

AU - Roh, Seol

AU - Choi, In hun

AU - Hong, Gi dae

AU - Jeong, Hong Ju

AU - Jeong, Seung Woo

AU - Hong, Choong Seon

AU - Park, Seong Bae

AU - Huh, Eui Nam

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N2 - Convergence technologies including the Internet of Things, Big Data, and Artificial Intelligence can detect and respond to dangerous situations through real-time monitoring. Meanwhile, the cafeteria environment has required safety management as it is exposed to various accident risks. Therefore, we conducted a study that applied multimodal data and artificial intelligence for the real-time safety management of the cafeteria environment. We show that multimodal data can improve accuracy in real-time detection. Thus, combining Artificial Intelligence with a multimodal sensors environment will be effective in various real-time safety managements.

AB - Convergence technologies including the Internet of Things, Big Data, and Artificial Intelligence can detect and respond to dangerous situations through real-time monitoring. Meanwhile, the cafeteria environment has required safety management as it is exposed to various accident risks. Therefore, we conducted a study that applied multimodal data and artificial intelligence for the real-time safety management of the cafeteria environment. We show that multimodal data can improve accuracy in real-time detection. Thus, combining Artificial Intelligence with a multimodal sensors environment will be effective in various real-time safety managements.

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KW - Multimodal data

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ER -

Seo Y, Sun TJ, Roh S, Choi IH, Hong GD, Jeong HJ et al. Smarteria: Intelligent Cafeteria Using Multimodal Data. In Park JS, Yang LT, Pan Y, Pan Y, Park JH, editors, Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 693-702. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-99-1252-0_93

Smarteria: Intelligent Cafeteria Using Multimodal Data

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Bibliographical note

Keywords

Access to Document

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