عنوان انگلیسی مقاله:
A vision-based approach for automatic progress tracking of floor paneling in offsite construction facilities
ترجمه فارسی عنوان مقاله:
یک رویکرد مبتنی بر چشم انداز برای ردیابی پیشرفت اتوماتیک پوشش کف در تاسیسات ساختمانی خارج از منزل
Sciencedirect - Elsevier - Automation in Construction, 125 (2021) 103620: doi:10:1016/j:autcon:2021:103620
Offsite construction is an approach focused on moving construction tasks from traditional jobsites to manufacturing facilities. Improved productivity of construction tasks is paramount in terms of competitiveness and is achieved through the continuous improvement of operations and planning, which often relies on historical data obtained from previous projects. Despite being a common practice, current methods, such as time studies, are not able to capture the changing scenarios resulting from improvements to production. This paper presents a novel approach to automatically detect and track the progress of construction operations by applying a method that combines deep learning algorithms and finite state machines to existing footage captured by closed-circuit television (CCTV) security cameras. Applied in the context of floor panel manufacturing stations, the proposed method examines entire production days recorded by CCTV cameras, while providing the durations of each task, its required resources, and the task efficiency per panel with high accuracy.
Keywords: Offsite construction | Construction automation | Computer vision | Productivity | Machine learning | Task efficiency