Location

Science and Engineering Building, UNLV

Start Date

27-4-2012 10:30 AM

End Date

27-4-2012 4:00 PM

Description

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

Construction industry--Safety measures; Optical pattern recognition--Mathematical models

Disciplines

Construction Engineering and Management | Labor Relations | Theory and Algorithms

Language

English

Comments

Advisor:

P. Shrestha

E. Yafantis

Related Thesis:

http://digitalscholarship.unlv.edu/thesesdissertations/1627/

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Apr 27th, 10:30 AM Apr 27th, 4:00 PM

Framework Developmant for Construction Safety Visialization

Science and Engineering Building, UNLV

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.