Advancing construction site workforce safety monitoring through BIM and computer vision integration: Fid-Bau Portal

Advancing construction site workforce safety monitoring through BIM and computer vision integration

Kulinan, Almo Senja / Park, Minsoo / Aung, Pa Pa Win / Cha, Gichun / Park, Seunghee

Abstract Ensuring a safe work environment is crucial for construction projects. It is essential that workforce monitoring is both efficient and non-intrusive to the ongoing construction activities. This paper introduces a method that integrates building information modeling (BIM) and computer vision to monitor workforce safety hazards at construction sites in real time. Despite the rising adoption of BIM and computer vision individually within the construction sector, the potential of their integrated application as a cohesive system for workforce safety monitoring remains unexplored. While BIM provides rich 3D semantic information about the construction site, computer vision captures real-time field data. The system was tested using a realistic construction simulation, and the accuracy of the position estimate was evaluated in a real-world interior environment, yielding a mean error distance (MED) of 13.2 cm. Overall, the findings have substantial significance for the construction industry to help minimize accidents and enhance overall worker safety.

Highlights • Introduced a method for enhancing workforce safety at construction sites by integrating BIM and computer vision. • YOLOv8 along with SORT were employed to collect field data. • The position accuracy was validated in a real-world indoor environment with a mean error distance (MED) of 13.2 cm. • Conducted a case study using realistic simulation video to demonstrate the practicality of the proposed framework. • In the BIM visualization, each worker is represented with comprehensive field-collected information.