A systematic review of the safety of workers in the construction industry using IoT

Leena Rakesh Jadhav and Manoj Hudnurkar

International Journal of Industrial and Systems Engineering, 2026, vol. 53, issue 1, 1-21

Abstract: Among all the other trades the construction environment is situated as the foremost contributor of deaths. Based on the present statistics, there are lakhs of construction injuries happen each year, and a major amount of injuries are caused by falls or slips from heights. This survey paper conducts the assessment of different approaches developed for the safety of workers in the construction industry using IoT. Here, the presented schemes from the collected articles are classified into IoT-based, ML-based, DL-based, optimisation-based, fuzzy-based, and RFID-based models. The review is analysed through publication year, implemented design, and performance metrics. Furthermore, the obtainable limitations in articles are listed evidently in the research gaps section. Therefore, based on the research gaps, it is reflected as an inspiration for the expansion of valuable security approaches to assist workers in construction sites.

Keywords: construction industry; safety of workers; internet of things; IoT; risk management; deep learning; DL. (search for similar items in EconPapers)
Date: 2026
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