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Computer vision-based process time data acquisition for offsite construction
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DOI：10.1016/j.autcon.2023.104803.png)
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Abstract
En 中文
The application of computer vision in offsite construction for time data acquisition has proven valuable, but current methods pose a significant set-up burden. In the research presented in this paper, a computer vision -based process time data acquisition system (TiDA) for acquiring productivity-related data (productive time, cycle time, and process start-time) at the workstation level in panelized construction without the need for sig-nificant set-up efforts is proposed. The logic of the proposed system is demonstrated in reference to workstations on a wall production line in a lightweight wood panelized construction factory. Moreover, its promising per-formance is described in detail in a case application to framing operations in the factory. The mean absolute errors corresponding to the process start-time, productive time, and cycle time needed to frame 121 panels are found to be 0.72 min, 0.96 min, and 0.77 min per panel, respectively.
Keywords:
Computer vision
Object detection
Offsite construction
Artificial intelligence
Automated measurement
Process time
Productivity
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