Chapter
Jan 25, 2024

Automated Assembly Progress Monitoring in Modular Construction Factories Using Computer Vision-Based Instance Segmentation

Publication: Computing in Civil Engineering 2023

ABSTRACT

Modular construction has recently gained interest as a transformative construction method. In this method, a large portion of the construction is performed inside factories, where processes are fast-paced and interdependent; therefore, any deviation from the schedule can delay the production. Such deviations are frequent in modular factories due to the labor-intensive nature of the tasks. This propagation of delays can be mitigated by continuously monitoring each process; however, current manual monitoring methods are laborious, and recently proposed contact sensor-based methods are intrusive to the work. In addition, recent computer vision-based monitoring methods inside factories are limited to detection algorithms that fail to provide the pixel-level accuracy required for assembly progress monitoring in highly occluded factory scenes, and they require a large number of manual annotations. Therefore, this paper proposes a method to monitor the installation of subassemblies in modular construction factories using mask R-CNN instance segmentation and improves the data efficiency of the model using a copy-paste augmentation method. This method was validated on the CCTV videos captured from a modular construction factory in the US, resulting in a 9% mAP improvement in segmentation.

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Go to Computing in Civil Engineering 2023
Computing in Civil Engineering 2023
Pages: 290 - 297

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Published online: Jan 25, 2024

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Roshan Panahi [email protected]
1Ph.D. Candidate, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR. Email: [email protected]
Joseph Louis [email protected]
2Assistant Professor, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR. Email: [email protected]
Ankur Podder [email protected]
3National Renewable Energy Laboratory, Golden, CO. Email: [email protected]
Colby Swanson [email protected]
4Momentum Innovation Group. Email: [email protected]
Shanti Pless [email protected]
5Research Engineer, National Renewable Energy Laboratory, Golden, CO. Email: [email protected]

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