![]() The aim of this study is to propose a real-time warning system using visual data acquired from cameras that are readily available in the heavy equipment to protect the workers from potentially dangerous situations involving equipment operations. Although these systems improve the visibility of the surrounding environment, detecting potential collisions with workers nearby is still restricted by the limited cognitive capacity of the operator, who is executing tasks that are themselves cognitively effortful. To improve visibility, heavy-equipment manufacturers have adopted a system that monitors an all-around view of the area surrounding the equipment via cameras installed on every side (i.e., front, right, left, and rear) of the equipment body to display the surrounding environment on the operator’s monitor. The heavy equipment used at construction sites poses a significant threat to the safety of surrounding workers due to the inherently poor visibility of the equipment operator.
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