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A Study on Prevention of Construction Opening Fall Accidents Introducing Image Processing
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  • Journal title : Journal of KIBIM
  • Volume 6, Issue 2,  2016, pp.39-46
  • Publisher : Korean Institute of Building Information Modeling
  • DOI : 10.13161/kibim.2016.6.2.039
 Title & Authors
A Study on Prevention of Construction Opening Fall Accidents Introducing Image Processing
Hong, Sung-Moon; Kim, Buyng-Chun; Kwon, Tae-Whan; Kim, Ju-Hyung; Kim, Jae-Jun;
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While institutional matters such as improvement on Basic Guidelines for Construction Safety are greatly concerned to reduce falling accidents at construction sites, there are short of studies on how to practically predict accident signs at construction sites and to preemptively prevent them. As one of existing accident prevention methods, it was attempted to build the early warning system based on standardized accident scenarios to control the situations. However, the investment cost was too high depending on the site situation, and it did not help construction workers directly since it was developed to mainly provide support operational work support to safety managers. In the long run, it would be possible to develop the augmented reality based accident prevention method from the worker perspective by extracting product information from BIM, visually rendering it along with site installation materials term and comparing it with the site situation. However, to make this method effective, the BIM model should be implemented first and the technology that can promptly process site situations should be introduced. Accordingly, it is necessary to identify risk signs through lightweight image processing to promptly respond only with currently available resources. In this study, it was intended to propose the system concept that identified potential risk factors of falling accidents by histogram equalization, which was known as the fastest image processing method presently, used visual words, which could enhance model classification by wording image records, to determine the risk factors and notified them to the work manager.
Image Processing;Histogram;Fall Disaster Management;
 Cited by
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