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dc.contributor.author Moragane, HPMNLB
dc.contributor.author Perera, BAKS
dc.contributor.author Palihakkara, AD
dc.contributor.editor Sandanayake, YG
dc.contributor.editor Gunatilake, S
dc.contributor.editor Waidyasekara, KGAS
dc.date.accessioned 2022-12-29T07:33:54Z
dc.date.available 2022-12-29T07:33:54Z
dc.date.issued 2022-06-24
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19960
dc.description.abstract Progress monitoring of construction work is crucial to identify the discrepancies between the as-built product and as-planned design and take necessary action based on the results. Construction work is time consuming and labour intensive. However, the use of new technologies, such as computer vision (CV), in construction progress monitoring (CPM) can minimise human errors. Thus, the aim of this study was to explore the current applications of CV in the construction industry in general and in the different stages of CPM. A qualitative approach based on the Delphi technique comprising two interview rounds was used to collect the required data. The study findings revealed that CPM has seven stages: initial planning, data acquisition, information retrieval, verification, progress estimation and comparison, results visualisation and schedule updating. During these stages, CV can be used in various CPM activities, such as earthmoving operations, crane operations, formwork and rebar tracking, worker activity tracking, safety assurance, landscape identification, work item monitoring and integrating with other technologies. Familiarisation of the workforce with CV and research on the applications of CV in construction can help the construction industry to move with technology and be on par with other industries. This study would enable construction personnel to explore the possibility of applying CV in CPM. Further research on identifying the synergy between CV and CPM can be based on the study findings. en_US
dc.language.iso en en_US
dc.subject Construction Work Progress Monitoring en_US
dc.subject Computer Vision en_US
dc.subject Stages of Progress Monitoring en_US
dc.title Application of computer vision for construction progress monitoring. en_US
dc.type Conference-Full-text en_US
dc.identifier.year 2022 en_US
dc.identifier.conference World Construction Symposium en_US
dc.identifier.place Sri Lanka en_US
dc.identifier.pgnos pp. 125-137. en_US
dc.identifier.proceeding 10th World Construction Symposium en_US
dc.identifier.email nmoragane@gmail.com en_US
dc.identifier.email pererabaks@gmail.com en_US
dc.identifier.email asha.dulanjalie@gmail.com en_US
dc.identifier.doi https://doi.org/10.31705/WCS.2022.11. en_US


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  • WCS - 2022 [76]
    Proceedings of The 10th World Construction Symposium 2022

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