Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 2217-2226 |
| Seitenumfang | 10 |
| Fachzeitschrift | Proceedings of the Design Society |
| Jahrgang | 4 |
| Publikationsstatus | Veröffentlicht - 16 Mai 2024 |
| Veranstaltung | 2024 International Design Society Conference, Design 2024 - Cavtat, Dubrovnik, Kroatien Dauer: 20 Mai 2024 → 23 Mai 2024 |
Abstract
This paper introduces a method for analysing motion patterns that can be utilised to optimise data-driven systems. The aim is to use surveillance cameras and artificial intelligence to track multiple objects in a reliable manner, thereby preserving the authenticity of movement patterns for numerous and similar objects. In a case study, this method is applied to optimize lighting conditions in animal husbandry. Furthermore, this approach can be utilized not only in animal husbandry but also in other domains.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Informatik (insg.)
- Angewandte Informatik
- Informatik (insg.)
- Software
- Mathematik (insg.)
- Modellierung und Simulation
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in: Proceedings of the Design Society, Jahrgang 4, 16.05.2024, S. 2217-2226.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Automatic movement pattern analysis for data-driven system optimisation
T2 - 2024 International Design Society Conference, Design 2024
AU - Raveendran, Gurubaran
AU - Meyer zu Westerhausen, Sören
AU - Wurst, Johanna
AU - Lachmayer, Roland
N1 - Publisher Copyright: © 2024 Proceedings of the Design Society. All rights reserved.
PY - 2024/5/16
Y1 - 2024/5/16
N2 - This paper introduces a method for analysing motion patterns that can be utilised to optimise data-driven systems. The aim is to use surveillance cameras and artificial intelligence to track multiple objects in a reliable manner, thereby preserving the authenticity of movement patterns for numerous and similar objects. In a case study, this method is applied to optimize lighting conditions in animal husbandry. Furthermore, this approach can be utilized not only in animal husbandry but also in other domains.
AB - This paper introduces a method for analysing motion patterns that can be utilised to optimise data-driven systems. The aim is to use surveillance cameras and artificial intelligence to track multiple objects in a reliable manner, thereby preserving the authenticity of movement patterns for numerous and similar objects. In a case study, this method is applied to optimize lighting conditions in animal husbandry. Furthermore, this approach can be utilized not only in animal husbandry but also in other domains.
KW - artificial intelligence (AI)
KW - big data analysis
KW - design analysis
KW - design methodology
UR - http://www.scopus.com/inward/record.url?scp=85194097373&partnerID=8YFLogxK
U2 - 10.1017/pds.2024.224
DO - 10.1017/pds.2024.224
M3 - Conference article
AN - SCOPUS:85194097373
VL - 4
SP - 2217
EP - 2226
JO - Proceedings of the Design Society
JF - Proceedings of the Design Society
SN - 2732-527X
Y2 - 20 May 2024 through 23 May 2024
ER -