Camera-based Intruder Detection and Monitoring of Ship Crew Work Hours

Due to technological developments and commercial pressures, the crew size on ships has gradually decreased. As a result of the decrease in crew sizes as well as port and turnaround times, seafarers' work hours have increased and working on ships has become increasingly challenging. The health and performance of fatigued crews deteriorates and the risk of causing accidents increases. The working hour limits of seafarers are specified in international leg-islation, but there is no system that provides evidence to check whether the records of work and rest hours reflect the truth. In this study, a face recognition system is presented using CCTV cameras on ships to monitor the work and rest hours of the crew, and to detect intruders on ships. A new CCTV dataset from a commercial ship is presented to study intruder detection and work hours monitoring.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/wacvw65960.2025.00168
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
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article

Camera-based Intruder Detection and Monitoring of Ship Crew Work Hours

Bora San Turgut, Gokhan Camlıyurt, A Mohamed Ahmed, Yasin Yılmaz et al.
Maritime Navigation and Safety
article

Camera-based Intruder Detection and Monitoring of Ship Crew Work Hours

Bora San Turgut, Gokhan Camlıyurt, A Mohamed Ahmed, Yasin Yılmaz, Md Mahmuddun Nabi Murad
article en

Abstract

Due to technological developments and commercial pressures, the crew size on ships has gradually decreased. As a result of the decrease in crew sizes as well as port and turnaround times, seafarers' work hours have increased and working on ships has become increasingly challenging. The health and performance of fatigued crews deteriorates and the risk of causing accidents increases. The working hour limits of seafarers are specified in international leg-islation, but there is no system that provides evidence to check whether the records of work and rest hours reflect the truth. In this study, a face recognition system is presented using CCTV cameras on ships to monitor the work and rest hours of the crew, and to detect intruders on ships. A new CCTV dataset from a commercial ship is presented to study intruder detection and work hours monitoring.

Korea Maritime and Ocean University (KR), University of South Florida (US), Istanbul University (TR)
Openalex Percentile: Top 89%
Maritime Navigation and Safety
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Camera-based Intruder Detection and Monitoring of Ship Crew Work Hours — Bora San Turgut, Gokhan Camlıyurt, et al. · (2025) | TGRS Research Map | TGRS