Augmented Reality and Computer Vision to Support Scheduling and Monitoring in Construction: A MEP Case Study

Abstract: Mechanical, Electrical, and Plumbing (MEP) systems require complex spatial coordination and installation sequences, making scheduling and progress monitoring challenging. This paper presents a framework that integrates Augmented Reality (AR) and Computer Vision (CV) to support MEP scheduling and progress tracking. BIM-based plans are visualized on-site through AR to guide installers, while CV algorithms detect MEP components from images to measure progress and identify schedule deviations. A prototype developed in Unity for HoloLens 2 was tested in laboratory and construction site environments. Results demonstrate its potential to improve construction managers’ situational awareness.