Application of computer vision for construction progress monitoring: a qualitative investigation

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.