Computer Vision Technologies and Machine Learning Algorithms for Construction Safety Management: A Critical Review

Computer vision technologies (CV) have been widely used for object detecting, tracking, and recognizing in the construction industry with machine learning algorithms (ML). This paper aim to make a comprehensive and systematic review of 438 CV related papers in construction safety management (CSM), and 169 camera related computer vision technologies (CRCV) papers were extracted. Finally, 29 camera related computer vision technologies and machine learning algorithms (CRCV-ML) papers were recognized for analyzing. Data collection, chronological, project types, CRCV, and learning algorithms distributions are proposed objectively by three-stage searching process. In discussion section, main research findings together with trends and gaps were gained. These results may help researchers identify the gaps and trends of CV and ML, and can serve as a guidance for future application research.