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Publication Date

4-2021

Document Type

Presentation

Presentation Type

Individual

Degree Type

Undergraduate

Department

Technology

Mentor

Haiyan Xie

Mentor Department

Technology

Abstract

Construction workers are affected by high hazard factors on job sites and should be protected from fatalities and injuries. With the advent of artificial intelligence (AI) and Virtual and Augmented Reality (VR/AR), machine vision has become essential in avoiding collision safety accidents during construction. This research aims at collision prevention between workers and machines (i.e., trucks) in excavation site construction by an intelligent evaluation and simulation system to reflect worker–machine safety status. The system included: (1) simulation of the key factors affecting the safety of the interactive operation between workers and machines based on literature review and documented cases; (2) assessment of the safety state of a monitored object using a gaming environment. A case study of concrete site construction is presented to illustrate and verify the entire process of safety assessment using the proposed method. This study develops an innovative simulation system and comes up with prospective research works, which can connect with VR/AR. It is envisioned that the outcomes of this research could assist both researchers and industrial practitioners with improved safety management.

Improvement Of Work Safety Using Vehicle-Collision Warning System And Deep Learning Approach
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