한국전자통신학회논문지 (The Journal of the Korea institute of electronic communication sciences)

한국전자통신학회 (Korea Institute of Electronic Communication Science)
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OpenCV를 활용한 위험 상황 인식에 관한 연구

A Study on Risk Situation Recognition Using OpenCV

  • 김동현 (청암대학교 전기제어과) ;
  • 김성열 (울산과학대학교 IT응용기술학부)
  • 투고 : 2021.01.28
  • 심사 : 2021.04.17
  • 발행 : 2021.04.30
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초록

건설 현장은 다양한 위험요소가 존재하고 있다. 안전재해를 줄이고자하는 다양한 접근이 있으나 어느 정도 한계성을 가지고 있다. IT의 무선통신 기술과 빠르게 발전하고 있는 이미지 처리 기술을 활용하여 위험요소를 사전에 식별하고 능동적으로 대응한다면 건설 현장에서의 재해를 감소시킬 수 있을 것이다. 따라서 본 연구에서는 건설 현장의 위험요소를 사전에 발견할 수 있는 시스템을 구성하고 실시간 컴퓨터 비전을 목적으로 한 OpenCV를 이용하여 건축현장의 위험요소를 발견하고 대응할 수 있도록 하는 시스템을 제안하였다.

Construction sites have various risk factors. There are various approaches to reduce safety accidents, but they have limitations to some extent. By utilizing the wireless communication technology of IT and the rapidly developing image processing technology, it will be possible to reduce accidents at the construction site if risk factors are identified and actively responded to. Therefore, in this study, a system that can detect risk factors of construction sites in advance is constructed, and a system is proposed to discover and respond to risk factors of construction sites using OpenCV for the purpose of real-time computer vision.

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참고문헌

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