Visual Inspection of Historical Buildings Using Unmanned Aerial Vehicles (UAV): A Case Study of Sultan Abu Bakar Mosque, Johor

Kaamin, Masiri; Rahman, Misbahul Muneer Abd; Ngadiman, Norhayati; Kadir, Aslila Abd; Nor, Ahmad Hakimi Mat; Hamid, Nor Baizura; Mokhtar, M.

doi:10.1166/asl.2016.7569

Cited by 6 publications

(3 citation statements)

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“…The other 26 articles focused on the detailed inspection of an individual building. Damages can be detected from UAV images through manual judgement [17,18], digital image processing (DIP) [2,19] and deep learning (DL) [3,20] algorithms. Besides, building damage and damage volume can be estimated based on the point cloud and the 3D model generated through image-based 3D reconstruction [21,22].…”

Section: Uav For Visual Building Inspectionmentioning

confidence: 99%

Integrating UAV and BIM for automated visual building inspection: a systematic review and conceptual framework

Zhang

Zou

Dimyadi

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Unmanned Aerial Vehicle (UAV) has gained popularity in visual building inspection due to its unique advantages of high mobility and low cost. However, it has been a challenge to efficiently manage the large number of images collected by the camera-equipped UAV for analysis and support building condition assessment. One potential solution is to manage the UAV data and building data through the platform of Building Information Modelling (BIM). However, little research has been found that successfully combined UAV and BIM for the visual inspection of buildings. This research explores the state-of-the-art UAV and BIM for visual building inspection through a systematic literature review. A mixed quantitative-qualitative analysis is conducted to provide insights into the application of UAV and BIM in visual building inspection based on identified academic publications (i.e., 48 articles on UAV, 31 articles on BIM, and 4 articles on integrating UAV and BIM). Furthermore, challenges and possible research opportunities are highlighted to guide future research: (1) integrating UAV and BIM to automate the visual building inspection process, including the data collection and data management; (2) considering the safety concern induced by the complex surrounding environment for the BIM-based UAV flight path planning; (3) developing an efficient way for managing UAV images in BIM. In addition, a conceptual framework for integrating UAV and BIM towards automated visual building inspection is proposed to serve as a roadmap.

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Section: Uav For Visual Building Inspectionmentioning

confidence: 99%

Integrating UAV and BIM for automated visual building inspection: a systematic review and conceptual framework

Zhang

Zou

Dimyadi

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Using a 2.4G Wi-Fi connection, it provides a full FPV experience at up to 100m. [8] It's the ideal choice for those getting started with aerial cinematography. The software will be downloaded at Google Play to connect with the camera.…”

Section: Building Inspectionmentioning

confidence: 99%

Visual Inspection of Historical Buildings Using Micro UAV

et al. 2017

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Abstract. The historical building is one of the country's heritage that needs to be taken care of failures in design and structure. Damage or dilapidation study that conducted by Conservation of Historical Building Guide Lines that practices for documentation any problems and defects in buildings. The stages to be followed to determine the damage was shooting photos for every element studied. Photo has been taken directly or by using stair for higher parts of structures. Inspection of the historical building should be emphasized to ensure that the building is in a safe condition for long periods. This research aims is to investigate the historical building defects by using Unmanned Aerial Vehicle (UAV) to identify the type of defects occur at the exterior structure of museum. The case study is building of Perak Museum that located at Taiping, Perak. The process involved in this study are planning and preparation before the flight, data acquisition using UAV, image processing and analyzing data from video to image. The result of analysis, a total numbers of 91 locations have been identified and documented suffer from defects or faults such as frame decayed, vegetation, perforated pipe and crack. All defects information obtained suing UAV visual inspection can help the museum maintainance team for conservation and maintainace work.

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“…Other than that, walking on a roof can damage the surface too. Therefore, some research has to be performed using the method of visual inspection and classifying the defection with the CSP1 matrix method [12,14].…”

Section: Introductionmentioning

confidence: 99%

Application of UAV and CSPI Matrix for Roof Inspection at Dewan Sultan Ibrahim and Dewan Tunku Mahkota Ismail UTHM

Kaamin

Hamid

Abdullah

et al. 2022

ARASET

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Roof inspections are simply inspections to determine the roof integrity, durability, and long life of roofs before they need to be replaced. Besides, the hazards presented by these features bring problems to roof inspectors as they face difficulty in performing rooftop inspection due to its high roof structure. The purpose of this study is to access defective buildings with visual inspection with the help of Unmanned Aerial Vehicle (UAV), to classify roof building conditions using the CSP1 Matrix as a method of assessment and ultimately acquire the results of the roof condition between the two main chambers of Universiti Tun Hussein Onn Malaysia. The two main chambers were elected in the UTHM area namely the Sultan Ibrahim Hall (DSI) and Tungku Mahkota Ismail Hall (DTMI). The main equipment used is UAV while Condition Survey Protocol 1(CSP1) Matrix is a method for building inspections to analyze the assessment of building roof conditions and to identify the significance of defective buildings detected for each main hall. From the analysis, there are 20 and 21 defects for DSI and DTMI that have been recorded, respectively. The overall roof condition is calculated where for DSI is 2.3 (Green) while DTMI is 4.29 (Green) which indicates that the state of the building for DSI and DTMI is in a fair condition (score 1-4). The total defects recorded in these studies for both halls are 41 defects.

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Visual Inspection of Historical Buildings Using Unmanned Aerial Vehicles (UAV): A Case Study of Sultan Abu Bakar Mosque, Johor

Cited by 6 publications

References 0 publications

Integrating UAV and BIM for automated visual building inspection: a systematic review and conceptual framework

Integrating UAV and BIM for automated visual building inspection: a systematic review and conceptual framework

Visual Inspection of Historical Buildings Using Micro UAV

Application of UAV and CSPI Matrix for Roof Inspection at Dewan Sultan Ibrahim and Dewan Tunku Mahkota Ismail UTHM

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