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

Md Mahmuddun Nabi Murad, Bora San Turgut, Awwab Ahmed, Gokhan Camliyurt, Yasin Yilmaz; Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, 2025, pp. 1526-1534

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 legislation 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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[bibtex]
@InProceedings{Murad_2025_WACV, author = {Murad, Md Mahmuddun Nabi and Turgut, Bora San and Ahmed, Awwab and Camliyurt, Gokhan and Yilmaz, Yasin}, title = {Camera-based Intruder Detection and Monitoring of Ship Crew Work Hours}, booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {February}, year = {2025}, pages = {1526-1534} }