Master of Science in Engineering (MSE)
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
Number of Pages
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.
Computer vision; Construction industry – Accidents; Construction industry – Safety measures; Edge detection algorithm; Hard Hat; Image processing; Pattern recognition systems
Civil Engineering | Computer Engineering | Construction Engineering | Construction Engineering and Management
University of Nevada, Las Vegas
Shrestha, Kishor, "Framework Development for Construction Safety Visualization" (2012). UNLV Theses, Dissertations, Professional Papers, and Capstones. 1627.
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