Automated Computer Vision-Based Construction Progress Monitoring: A Systematic Review

The progress monitoring (PM) of construction projects is an essential aspect project control that enables the stakeholders to make timely decisions ensure successful delivery, but ongoing practices are largely manual and document-centric. However, integration technologically advanced tools into has shown potential automate PM (CPM) using real-time data collection, analysis, visualization for effective decision making. In this study, we assess level automation achieved through various methods enable automated computer vision (CV)-based CPM. A detailed literature review presented, discussing complete process CV-based CPM based on research conducted between 2011 2021. comprises four sub-processes: acquisition, information retrieval, estimation, output visualization. Most techniques encompassing these sub-processes require human intervention perform desired tasks, inter-connectivity among them absent. We conclude centric resolving technical feasibility studies image-based processing site data, which still experimental lack connectivity its applications management. This highlighted most efficient involved in accentuated need alternative traditional practices.