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Automatic movement pattern analysis for data-driven system optimisation – an example for fattening livestock farming monitoring system

Published online by Cambridge University Press:  16 May 2024

Gurubaran Raveendran ,
Sören Meyer zu Westerhausen ,
Johanna Wurst  and
Roland Lachmayer
Gurubaran Raveendran*
Affiliation:
Leibniz University Hannover, Germany
Sören Meyer zu Westerhausen
Affiliation:
Leibniz University Hannover, Germany
Johanna Wurst
Affiliation:
Leibniz University Hannover, Germany
Roland Lachmayer
Affiliation:
Leibniz University Hannover, Germany
*
[email protected]

Abstract

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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.

Keywords

artificial intelligence (AI)big data analysisdesign methodologydesign analysis
Type
Artificial Intelligence and Data-Driven Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2217 - 2226
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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