INTEGRATION OF AI AND IOT SENSORS FOR CONTINUOUS MONITORING AND RESTORATION OF CULTURAL HERITAGE SITES – DETERMINING CRITICAL FACTORS

The reconstruction of cultural heritage sites damaged by war is a critical task that blends historical preservation with cutting-edge technology. This article examines the role of AI in these efforts, focusing on practical applications. It explores how AI can balance authenticity and innovation in restoration projects, address concerns when reconstructing lost details and ensure respect for cultural significance. The use of LiDAR scans, drone photography and photogrammetry in documenting and restoring sites is highlighted. Additionally, the article discusses the integration of IoT sensors for continuous monitoring and the application of machine learning to predict the impact of external factors on heritage sites. An analysis using Python to visualize LiDAR data is included, demonstrating the practical benefits of these technologies in both war and peace.

Authors

Publication Details

Journal
International Journal of Conservation Science
Published
2025-05-15
DOI
https://doi.org/10.36868/ijcs.2025.si.10
Citations
1
Primary Topic
Conservation Techniques and Studies
Type
article
Field-Weighted Citation Impact
6.15
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article

INTEGRATION OF AI AND IOT SENSORS FOR CONTINUOUS MONITORING AND RESTORATION OF CULTURAL HERITAGE SITES – DETERMINING CRITICAL FACTORS

Łukasz Bednarz, Gabriela Wojciechowska, Noëlla Dolińska
1 citations
International Journal of Conservation Science
Conservation Techniques and Studies
6.15
article

INTEGRATION OF AI AND IOT SENSORS FOR CONTINUOUS MONITORING AND RESTORATION OF CULTURAL HERITAGE SITES – DETERMINING CRITICAL FACTORS

Łukasz Bednarz, Gabriela Wojciechowska, Noëlla Dolińska
article en
1 citations

Abstract

The reconstruction of cultural heritage sites damaged by war is a critical task that blends historical preservation with cutting-edge technology. This article examines the role of AI in these efforts, focusing on practical applications. It explores how AI can balance authenticity and innovation in restoration projects, address concerns when reconstructing lost details and ensure respect for cultural significance. The use of LiDAR scans, drone photography and photogrammetry in documenting and restoring sites is highlighted. Additionally, the article discusses the integration of IoT sensors for continuous monitoring and the application of machine learning to predict the impact of external factors on heritage sites. An analysis using Python to visualize LiDAR data is included, demonstrating the practical benefits of these technologies in both war and peace.

International Journal of Conservation ScienceVol. 16(Special Issue)
Openalex Percentile: Top 5%
Conservation Techniques and Studies
6.15
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