2023
DOI: 10.1145/3569093
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Surface Damage Identification for Heritage Site Protection: A Mobile Crowd-sensing Solution Based on Deep Learning

Abstract: This paper addresses the general problem of built heritage protection against both deterioration and loss. In order to continuously monitor and update the structural health status, a crowd-sensing solution based on powerful and automatic deep learning technique is proposed. The aim of this solution is to get rid of the limitations of manual and visual damage detection methods that are costly and time consuming. Instead, automatic visual inspection for damage detection on walls is efficiently and effectively pe… Show more

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Cited by 11 publications
(1 citation statement)
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“…The author further explained giving reasons such as limitation in its receptive eld due to xed kernel size, and presence of noise and irrelevant information after capturing spatial information using shallower layer. In another study, by (Meklati et al, 2022), the limitations of manual and visual damage detection methods that are costly and time consuming are discussed in Surface Damage identi cation for Heritage Site Protection. The use of AI with the right matrices, and right combination of models can lead to an improved computer vision application.…”
Section: Imminent Trends and Challengesmentioning
confidence: 99%
“…The author further explained giving reasons such as limitation in its receptive eld due to xed kernel size, and presence of noise and irrelevant information after capturing spatial information using shallower layer. In another study, by (Meklati et al, 2022), the limitations of manual and visual damage detection methods that are costly and time consuming are discussed in Surface Damage identi cation for Heritage Site Protection. The use of AI with the right matrices, and right combination of models can lead to an improved computer vision application.…”
Section: Imminent Trends and Challengesmentioning
confidence: 99%