• Journal of the Korean Society of Marine Environment & Safety
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• v.13 no.3
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• pp.199-206
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• 2007

In analyzing the security threats and their management system and making questions on security awareness to the concerned parties in the field of coastal passenger ship, we draw its security vulnerability and the features of security threats. The countermeasures and security system are proposed in order to response the diverse security threats and to set up the security culture of coastal passenger ship.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.232-234
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• 2014

현재 연안여객선의 여객과 화물의 승선 예매 및 발권시스템은 타 교통수단에 비교하여 매우 부족하며 여객이 느끼는 실질적인 서비스 수준도 상대적으로 미흡하다는 평가를 받고 있다. 해양수산부 등 관련 기관에서는 이를 개선하기 위해 승선권 무인취급시스템 등을 구축하고자 노력하고 있으나 아직 부족한 현실이다. 본 연구에서는 여객 및 화물 정보를 QR-Code 등을 통하여 인식한 후, 선박 자체관리 프로그램 및 Web상에서 연동되는 선박예매/발권시스템을 구축하였다. 시스템의 Database 정보에는 승선객의 프로파일 정보, 중간기착지 방문 정보, 여객의 최초승선지 및 하선 정보, 화물 적양하 기록 등이 포함된다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1044-1050
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• 2021

After the occurrence of several passenger ship accidents in Korea, various systems are being developed for passenger ship safety management. A total of 162 passenger ships operate along the coast of Korea, of which 105 (65 %) are car-ferries with open vehicle decks. The car-ferry has a navigation pattern that passes through 2 to 4 islands. Safety inspections at the departure point(home port) are carried out by the crew, the operation supervisor of the operation management office, and the maritime safety supervisor. In some cases, self-inspections are carried out for safety inspections at layovers. As with any system, there are institutional and practical limitations. To this end, this study was conducted to suggest a method of detecting a vehicle using image processing and linking it to the calculations for ship stability. For vehicle detection, a method using a difference image and one using machine learning were used. However, a limitation was observed in these methods that the vehicle could not be identified due to strong background lighting from the pier and the ship in the cases where the camera was backlit such as during sunset or at night. It appears necessary to secure sufficient image data and upgrade the program for stable image processing.