Economic justification for the new approach of using videobased smoke detection with the aim of decreasing total costs incurred by the untimely detection of fires on ships

• Autorzy: Bistrović M. , Ristov P.

Identyfikatory

DOI

10.17402/226

• Języki publikacji: EN

Abstrakty

EN

Although various methods of using new techniques and technologies in ship fire alarm systems have been developed to date, some of which have made significant improvements in the functioning of such systems, in practice there is still plenty of room for further research regarding the operational efficiency of ship fire alarm systems and its impact on crew, passenger and overall ship safety. The application of electronic and computer technologies enables the development of intelligent solutions to improve the efficiency of ship fire alarm systems. Besides the economic justification, this paper presents a comparative analysis of classical and modern approaches based on video detection and computer vision in the detection of early phase smoke as a precursor to fire incidents. The economic justification of the new approach is concerned with decreasing the costs incurred by the untimely detection of the early stages of fire in ship engine rooms.

Słowa kluczowe

EN

fire alarm; video technology; computer vision; video detection; smoke detectors; ships

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2017
• Tom: nr 51 (123)
• Strony: 21--27
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Bistrović M.

• Faculty of Maritime Studies Rijeka, Croatia, Rijeka

autor

Ristov P.

• Faculty of Maritime Studies Rijeka, Croatia, Rijeka

Bibliografia

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• 14. Toreyin, B.U. & Cetin, A.E. (2005) Real-time Fire and Smoke Detection in Video. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Philadelphia, PA, USA, pp. 18–23, March.
• 15. Toreyin, B.U., Dedeoglu, Y. & Cetin, A.E. (2006) Contour Based Smoke Detection in Video Using Wavelets. 14th European Signal Processing Conference EUSIPCO 2006, Florance, Italy, September 4–8.
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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).