A review of Computer Vision-Based Techniques for Construction Progress Monitoring

Monitoring the progress of construction operations on site is crucial to keep an up-to-date schedule. In the past, manual methods were used for that purpose, which lead to errors and delays in generating up-to-date schedules. Current practices and research lines have been studying different methodologies to reach a fully automated progress-monitored construction.

Automated progress monitoring and tracking are important to avoid delays and cost overruns resulting from a lack of timely management decisions. Manual reporting and human intervention on site are error-prone, time-consuming, and can negatively impact productivity. Recently, computer vision techniques are proving to be cost and time efficient for monitoring and progress reporting of construction operations.

This paper investigates the required steps and technologies used to have an automated tool for progress monitoring. The paper also provides a review of the common methodologies used, previous practices, limitations, and future directions for the evolution of automated construction progress monitoring.