한국생산제조학회지 (Journal of the Korean Society of Manufacturing Technology Engineers)

  • 제26권3호
  • /
  • Pages.272-277
  • /
  • 2017
  • /
  • 2508-5093(pISSN)
  • /
  • 2508-5107(eISSN)
한국생산제조학회 (The Korean Society of Manufacturing Technology Engineers)
권호 표지
DOI QR코드

DOI QR Code

CCTV Monitoring System Development for Safety Management and Privacy in Manufacturing Site

  • Han, Ji Hee (Graduate School, Department of Manufacturing Systems and Design Engineering, Seoul National University of Science & Technology) ;
  • Ok, Sang Hun (Graduate School, Department of Manufacturing Systems and Design Engineering, Seoul National University of Science & Technology) ;
  • Song, Kyu (Graduate School, Department of Manufacturing Systems and Design Engineering, Seoul National University of Science & Technology) ;
  • Jang, Dong Young (Manufacturing Systems and Design Engineering Programme, Seoul National University of Science & Technology)
  • 투고 : 2017.03.27
  • 심사 : 2017.06.05
  • 발행 : 2017.06.15
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

CCTV image processing techniques have been developed for safety management in manufacturing sites. However, CCTV growth has become a social problem for video surveillance with regard to privacy. This study aims to manage the safety system efficiently and protect privacy simultaneously. In this study, the CCTV monitoring system is composed of five steps (accident monitoring, detection, notification, management, restoration). De-identified image is observed when we are in a normal situation. De-identified image changes to identified image when it detects an accident. As soon as it detects an accident, the accident information is sent to the safety administrator. Then the administrator could conduct safety measures. Afterward, accumulated accident data could be used for statistical data that could be utilized as analyzing expecting accident.

키워드

참고문헌

  1. Moon, H. M., Pan, S. B., 2010, The Human Identification Method in Video Surveillance System, The Korean Institute of Information Technology, 8:5 199-206.
  2. Moon, H. M., Pan, S. B., 2011, The Analysis of De-identification for Privacy Protection in Intelligent Video Surveillance System, The Korean Institute of Information Technology, 9:7 189-200.
  3. Disaster Prevention Safety Institute, 2014, A Study on Application Method of Smart CCTV Based on 3D-Map for Disaster Management, National Disaster Management Research Institute, Korea.
  4. Shin, Y. J., 2008, A Study on Personal Information Protection According to The Introduction of CCTV in Public Institutions, Journal of Korean Association for Regional Information Society, 11:2 1-21.
  5. Cha, G. S., Shin, Y. T., 2009, Personal Video Privacy Issue to Increasing CCTV Installation, Communications of the Korean Institute of Information Scientists and Engineers, 27:12 25-33.
  6. Cha, S. H., Lee, J. S., 2016, A Study on Teacher's Experience After The Installation of CCTV in Kindergarten and Day Care Center, Journal of Critical Social Policy, 51 292-325.
  7. Kang, S. I., Hong, S. H., 2008, Motion Tracking Algorithm for A CCTV System, The Institute of Electronics Engineers of Korea, 32:4 177-178.
  8. Industrial Accidents Status Analysis, 2014, Ministry of Employment and Labor, Korea.
  9. Kim, T. H., Lee, J. H., Hwang, Y. C., Cha, E. Y., 2010, The Study of Vehicle Color Recognition Using the Fuzzy C- means Algorithm Based Quantization, Journal of Korea Multimedia Society, 13:1 235-238.
  10. Cha, H. S., Hong, S. H., 2013, Advanced Retinex Algorithm for Image Enhancement, Journal of Korea Multimedia Society, 16:1 29-41. https://doi.org/10.9717/kmms.2013.16.1.029

피인용 문헌

  1. CCTV Video Privacy Protection Scheme Based on Edge Blockchain vol.17, pp.10, 2017, https://doi.org/10.14801/jkiit.2019.17.10.101