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


Murad M. M. N., TURGUT B. Ş., Ahmed A., Camliyurt G., Yilmaz Y.

2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2025, Arizona, Amerika Birleşik Devletleri, 28 Şubat - 04 Mart 2025, ss.1441-1449, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/wacvw65960.2025.00168
  • Basıldığı Şehir: Arizona
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.1441-1449
  • Anahtar Kelimeler: camera ship dataset, crew recognition, intruder detection, ship dataset, work hours estimation
  • İstanbul Üniversitesi Adresli: Evet

Özet

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.