Work

Architectural Memories: AI Redefines Dilapidation Analysis and Conservation

Year: 2025

Type: conference-paper

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.

Source: Proceedings of International Conference on Artificial Life and Robotics

DOI: 10.5954/icarob.2025.os27-2

Authors: Muhammad Azizi Azizan, Nurfadzillah Ishak, Hazry Desa

Institution: Universiti Malaysia Perlis

Language: English

Topic: 3D Surveying and Cultural Heritage

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: bronze

Funder: Universiti Malaysia Perlis