Presenter(s)
Abhijeet Gupta
Files
Download Project (3.7 MB)
Description
Work-related fatalities remain a pressing concern in the construction industry, with statistics revealing alarming rates of fatal incidents. Traditional safety measures, while essential, often fall short in addressing the dynamic nature of hazards in construction environments. In response, this paper proposes a novel approach to safety training utilizing Augmented Reality (AR) integrated with Computer Vision technology. The research objective is to mitigate work-related fatalities by developing a real-time training method that superimposes hazard animations onto construction site settings. Through AR simulations created using Unity, four major hazards - falls, slips, falling objects, and electrocution - are realistically depicted within the construction context. These simulations are integrated with a Computer Vision module that detects potential hazards in real-time using object detection algorithms.
Publication Date
4-17-2024
Project Designation
Graduate Research
Primary Advisor
Namgyun Kim, Van Tam Nguyen
Primary Advisor's Department
Computer Science
Keywords
Stander Symposium, College of Arts and Sciences
Institutional Learning Goals
Community; Scholarship; Scholarship
Recommended Citation
"Safety Training with Personalized Augmented Reality" (2024). Stander Symposium Projects. 3425.
https://ecommons.udayton.edu/stander_posters/3425
Comments
Presentation: 1:20-1:40, LTC Studio