Other Scholarly Content
 

Automated Progress Monitoring in Modular Construction Factories Using Computer Vision and Building Information Modeling

Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/defaults/2r36v6874

Descriptions

Attribute NameValues
Creator
Abstract
  • Modular construction methods have recently gained interest due to the advantages offered in terms of safety, quality, and productivity for projects. In this method, a significant portion of the construction is performed off-site in factories where modular components are built in different workstations, assembled on the production line, and shipped to the site for installation. Due to the labor-intensive nature of tasks, cycle times in modular construction factories are highly variable, which commonly leads to major bottlenecks and delays in construction projects. To remedy this effect, recent methods rely on sensors such as RFID to monitor the production process, which is reportedly expensive, and intrusive to the work process. Recently, computer vision-based methods have been proposed to track the production process in modular construction factories. However, these methods overlook monitoring the assembly process on the production line. Therefore, this paper presents a method to monitor the assembly process by integrating computer vision-based methods with Building Information Modeling (BIM). The proposed method detects the modular units using object segmentation; superimposes the installation area with the corresponding 2D region using BIM, and identifies the installation of the components using image processing techniques. The proposed method has been validated using surveillance videos captured from a modular construction factory in the US. Successful implementation of the proposed method can lead to timely identification of delays during the assembly process and reduce delays in modular integrated construction projects.
  • Keywords: Modular Construction, Computer Vision, Building Information Modeling
Resource Type
DOI
Date Available
Citation
  • R. Panahi, J. Louis, A. Podder, S. Pless, C. Swanson, and M. Jafari, “Automated Progress Monitoring in Modular Construction Factories Using Computer Vision and Building Information Modeling,” presented at the 40th International Symposium on Automation and Robotics in Construction, Chennai, India, Jul. 2023. doi: 10.22260/ISARC2023/0003.
Conference Name
Conference Location
  • Chennai, India
Academic Affiliation
Rights Statement
Related Items
  • Presentation Video:
Publisher
Language
ISBN
  • 978-0-6458322-0-4
ISSN
  • 2413-5844

Relationships

Parents:

This work has no parents.

Items

Thumbnail Title Date Uploaded Visibility Actions
file details ISARC_2023_RoshanPanahi_Published.pdf 2024-01-10 Public Download