Detecting and Preventing Falls Using a Hybrid Technology System: A Review

Over the years, falls have been the leading cause of severe injuries and fatal accidents in the construction industry. Various automated detection and prevention systems have been developed to improve worker safety conditions on the job. However, there have been limitations in the use and accuracy of these systems due to the peculiarities of the construction sites. Hence, this study was conducted by reviewing multiple studies on 10 sensing technologies, their modes of operation, and the factors that influence performance, strengths, and weaknesses based on working conditions at varying levels of fall risk. This study proposes a framework that can facilitate the integration of two or more systems to detect and prevent workers from falling. A comparative analysis was conducted to identify the usefulness and limitations of various sensing technologies, with the aim of developing a hybrid system that can be employed in various fall hazard levels.