Urban heritage preservation (UHP) is an important venue of public administration, in which the adoption of novel IT solutions is highly desired, yet the novelty and the sophistication of the technology creates challenges to decision makers in their task of choosing and/or funding appropriate innovation projects. In this paper, we report on the development of a prototype tool for automated urban heritage preservation risk monitoring. Our aim is twofold: 1) to provide analysis on different reality capture strategies and AI-based imagery recognition in the domain of UHP, and 2) to explain the function and the interaction of different elements in the reference architecture for AI-based urban heritage preservation risk monitoring tool. Our research contributes to the rhetoric of digitization of government services. Specifically, the project reported findings are expected to reduce technology innovation-related uncertainties and facilitate government decision making in projects with comparable aims.
CITATION STYLE
Fomin, V. V., Putrimas, M., Žižiūnas, T., & Laužikas, R. (2022). Reference Architecture for AI-based Urban Heritage Preservation Risks Monitoring Tool. Baltic Journal of Modern Computing, 10(2), 142–158. https://doi.org/10.22364/bjmc.2022.10.2.04
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