Health and safety visualization in steel construction projects through image processing

Rula Sharqi, Ammar Kaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Steel structures construction continues to be one of the most hazardous jobs in the construction industry. Even with the strict application of international safety codes, the fatalities in the steel construction activity are more than any other site works. This fact demonstrates the need to improve the health and safety at steel construction sites. The objective of this paper, which is part of a Ph.D. thesis, is to identify how to apply novel technologies to enhance the workers' safety awareness on site. The paper proposes a methodology based on BIM model incorporating the 2D image data available from an actual project and the approved project plan. Enhancing all real images and comparing them withthe BIM model to expect the following site activities and their associated hazards, the hazards then will be presented to the site worker in an advanced visualization tool in order to control and minimize the risk.

Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Computing in Civil and Building Engineering
PublisherAmerican Society of Civil Engineers
Pages817-824
Number of pages8
ISBN (Print)9780784413616
DOIs
Publication statusPublished - 2014
Event2014 International Conference on Computing in Civil and Building Engineering - Orlando, United States
Duration: 23 Jun 201425 Jun 2014

Conference

Conference2014 International Conference on Computing in Civil and Building Engineering
CountryUnited States
CityOrlando
Period23/06/1425/06/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Civil and Structural Engineering
  • Building and Construction

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  • Cite this

    Sharqi, R., & Kaka, A. (2014). Health and safety visualization in steel construction projects through image processing. In Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering (pp. 817-824). American Society of Civil Engineers. https://doi.org/10.1061/9780784413616.102