Award Date

5-1-2012

Degree Type

Thesis

Degree Name

Master of Science in Engineering (MSE)

Department

Civil and Environmental Engineering

First Committee Member

Pramen P. Shrestha

Second Committee Member

Evangelos A. Yfantis

Third Committee Member

David R. Shields

Fourth Committee Member

Neil Opfer

Number of Pages

52

Abstract

Throughout the history of the construction industry, many fatalities and injuries have occurred in construction sites. One of the major causes of accidents is unsafe site conditions; basically, this is due to inadequate supervision. To improve upon the traditional supervision approach, this study proposes a `Framework Development for Construction Safety Visualization' approach. In addition to this, a computer vision Edge Detection Algorithm was developed and tested to convert construction site still images into edges of the objects in the images. The framework development of this study uses computer vision, robot vision, image compression, pattern recognition, internet transmission, network communication, and image processing.

Keywords

Computer vision; Construction industry – Accidents; Construction industry – Safety measures; Edge detection algorithm; Hard Hat; Image processing; Pattern recognition systems

Disciplines

Civil Engineering | Computer Engineering | Construction Engineering | Construction Engineering and Management

File Format

pdf

Degree Grantor

University of Nevada, Las Vegas

Language

English

Comments

Related poster:

http://digitalscholarship.unlv.edu/celebration/2012/april27/16/

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

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