한국게임학회 논문지 (Journal of Korea Game Society)

  • 제20권3호
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  • Pages.85-94
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  • 2020
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  • 1598-4540(pISSN)
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  • 2287-8211(eISSN)
한국게임학회 (Korea Game Society)
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Unity 3D 기반 깊이 영상을 활용한 공장 안전 제어 시스템에 대한 연구

A Study on the System for Controlling Factory Safety based on Unity 3D

  • 조성현 (경북대학교 전자공학부) ;
  • 정인호 (한국산업기술대학교 전자공학부) ;
  • 고동범 (한국산업기술대학교 스마트팩토리융합학과) ;
  • 박정민 (한국산업기술대학교 컴퓨터공학부)
  • Jo, Seonghyeon (Dept. Electronics Engineering, Kyungpook National University) ;
  • Jung, Inho (Dept. Electronic, Korea Polytechnic University) ;
  • Ko, Dongbeom (Dept. Smart Factory, Korea Polytechnic University) ;
  • Park, Jeongmin (Dept. Compute, Korea Polytechnic University)
  • 투고 : 2020.05.25
  • 심사 : 2020.06.08
  • 발행 : 2020.06.20
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초록

작업자-로봇 간 협업은 다품종 소량생산 기반의 스마트팩토리에서 중요한 요소가 된다. 기존 제조 공장을 스마트화하기 위해 AI 기반의 기술이 도입되고 있지만 이 경우 단기적 생산성 향상에 그친다. 이를 해결하기 위한 협업 지성은 인간의 팀워크, 창의력 등과 AI의 속도, 정확성 등이 결합되어 서로의 단점을 적극적으로 보완 할 수 있다. 그러나 현재 자동화설비는 돌발사태 발생 시 재해강도가 높기 때문에 안전대책이 요구된다. 따라서 본 논문에서는 깊이 영상 카메라를 이용하여 작업자 및 설비를 가상 세계에 구현하고, 시뮬레이션을 통해 작업자의 안전을 판별하는 공장 안전 제어 시스템을 설계하고 구현한다.

AI-based smart factory technologies are only increase short-term productivity. To solve this problem, collaborative intelligence combines human teamwork, creativity, AI speed, and accuracy to actively compensate for each other's shortcomings. However, current automation equipmens require high safety measures due to the high disaster intensity in the event of an accident. In this paper, we design and implement a factory safety control system that uses a depth camera to implement workers and facilities in the virtual world and to determine the safety of workers through simulation.

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