Architectural Memories: AI Redefines Dilapidation Analysis and Conservation

Heritage conservation faces increasing challenges due to environmental degradation, urbanization, and resource constraints.Artificial Intelligence (AI) and advanced technologies are transforming traditional conservation practices by introducing precise, efficient, and data-driven solutions.This paper explores how AI redefines dilapidation analysis and conservation, with a focus on Malaysia's Georgetown, Penang-a UNESCO World Heritage Site.The study highlights the use of AI-driven tools, including 3D scanning, predictive maintenance models, and drone technology, to enhance structural assessment and restoration planning.The findings reveal significant improvements in efficiency and accuracy, reducing inspection time by 60% and enabling targeted interventions for 40% of surveyed buildings.However, ethical considerations and high costs pose challenges to widespread adoption.By integrating AI with traditional methods, this study demonstrates how technological innovation can preserve architectural heritage while respecting cultural authenticity.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os27-2
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

Architectural Memories: AI Redefines Dilapidation Analysis and Conservation

Muhammad Azizi Azizan, Hazry Desa, Nurfadzillah Ishak
Proceedings of International Conference on Artificial Life and Robotics
3D Surveying and Cultural Heritage
article

Architectural Memories: AI Redefines Dilapidation Analysis and Conservation

Muhammad Azizi Azizan, Hazry Desa, Nurfadzillah Ishak
article en

Abstract

Heritage conservation faces increasing challenges due to environmental degradation, urbanization, and resource constraints.Artificial Intelligence (AI) and advanced technologies are transforming traditional conservation practices by introducing precise, efficient, and data-driven solutions.This paper explores how AI redefines dilapidation analysis and conservation, with a focus on Malaysia's Georgetown, Penang-a UNESCO World Heritage Site.The study highlights the use of AI-driven tools, including 3D scanning, predictive maintenance models, and drone technology, to enhance structural assessment and restoration planning.The findings reveal significant improvements in efficiency and accuracy, reducing inspection time by 60% and enabling targeted interventions for 40% of surveyed buildings.However, ethical considerations and high costs pose challenges to widespread adoption.By integrating AI with traditional methods, this study demonstrates how technological innovation can preserve architectural heritage while respecting cultural authenticity.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Universiti Malaysia Perlis (MY)
Universiti Malaysia Perlis
Sustainable cities and communities
Openalex Percentile: Top 76%
3D Surveying and Cultural Heritage
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