Abstract
A Novel Implementation of an AI-Based Smart Construction Safety Inspection Protocol in the UAE
Highlights
The construction sector is one of major industries in the world
Inadequate planning and training This paper aims to mitigate the first issue where the shortage of qualified site inspectors is augmented by adopting an artificial intelligence (AI)-based smartconstruction safety-inspection protocol
OF RESULTS All the tests done in this research were performed to ensure that the deep learning model -object detector- is well suited for the use in construction sites
Summary
The construction sector is one of major industries in the world. due to architectural complexities of projects and high rates of progress required to minimize costs, it is considered as one of the most dangerous industrial sectors. The Occupational Safety and Health Administration (OSHA) reported that one in ten construction workers are injured every year in the U.S. There are many types of construction-related accidents, top five common site-accidents include falling from heights, struck by an object, electrocutions, caught in between, and slips/falls [2, 3]. While the UAE construction industry continues to benefit from no shortage of construction projects and activities, assuring the utmost safety and health of the involved workers is not fully embedded in the culture of the construction industry relative to the large scale of the boom the industry is experiencing [8] To address this issue, the Abu Dhabi Municipality (ADM) established the emirate’s environment, health, and safety (EHS) regulations prescribing safety requirements for all local construction sites. Another study which analyzed the trauma registry data from a large local hospital, in agreement with the findings from the work of Baras et al [10], the most frequent mechanism of injury was fall-from-height (52%) [11]
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