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Raveendran, Gurubaran; zu Westerhausen, Sören Meyer; Wurst, Johanna; Lachmayer, Roland
Proceedings of the Design Society, 05/2024, Volume: 4Journal Article, Conference Proceeding
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.
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