Computer vision applications in construction: Current state, opportunities & challenges

被引:102
|
作者
Paneru, Suman [1 ]
Jeelani, Idris [1 ]
机构
[1] Univ Florida, Rinker Sch Construct Management, Gainesville, FL 32610 USA
基金
美国国家科学基金会;
关键词
Computer vision; Technology in construction; Visual data analytics; Monitoring; CONVOLUTIONAL NEURAL-NETWORKS; ACTION RECOGNITION; WORKERS; SAFETY; EQUIPMENT; PROGRESS; TRACKING; SUPPORT; SYSTEM; MODEL;
D O I
10.1016/j.autcon.2021.103940
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Thousands of images and videos are collected from construction projects during construction. These contain valuable data that, if harnessed efficiently, can help automate or at least reduce human effort in diverse construction management activities such as progress monitoring, safety management, quality control and productivity tracking. Extracting meaningful information from images requires the development of technology and algorithms that enable computers to understand digital images or videos, replicating the functionality of human visual systems. This is the goal of computer vision. This review aims at providing an updated and categorized overview of computer vision applications in construction by examining the recent developments in the field and identifying the opportunities and challenges that future research needs to address to fully leverage the potential benefits of Computer Vision. We restrict the focus to four areas that can benefit the most from computer vision Safety Management, Progress Monitoring, Productivity Tracking and Quality Control.
引用
收藏
页数:17
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