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Pregled bibliografske jedinice broj: 853260

Computer Vision Application for Early Stage Smoke Detection on Ships


Bistrović, Miroslav; Ćelić, Jasmin; Komorčec, Domagoj
Computer Vision Application for Early Stage Smoke Detection on Ships // Pomorski zbornik, 52 (2016), 2; 63-80 (podatak o recenziji nije dostupan, prethodno priopćenje, znanstveni)


CROSBI ID: 853260 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Computer Vision Application for Early Stage Smoke Detection on Ships

Autori
Bistrović, Miroslav ; Ćelić, Jasmin ; Komorčec, Domagoj

Izvornik
Pomorski zbornik (0554-6397) 52 (2016), 2; 63-80

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopćenje, znanstveni

Ključne riječi
technology ; modeling ; computer vision ; video-based smoke detection

Sažetak
Nowadays, ship’s engine room is fire protected by automatic fire fighting systems, usually controlled from a place located outside the engine room. In order to activate the water mist extinguishing system automatically, at least two different fire detectors have to be activated. One of these detectors is a flame detector that is not hampered by various air flows caused by ventilation or draft and is rapidly activated and the other is smoke detector which is hampered by these flows causing its activation to be delayed. As a consequence, the automatic water mist extinguishing system is also delayed, allowing for fire expansion and its transfer to surrounding rooms. In addition to reliability of the ship’s fire detection system as one of the crucial safety features for the ship, cargo, crew and passengers, using a systematic approach in this research the emphasis is placed on the application of new methods in smoke detection such as the computer image processing and analysis, in order to achieve this goal. This paper describes the research carried out on board ship using the existing marine CCTV systems in early stages of smoke detection inside ship’s engine room, which could be seen as a significant contribution to accelerated suppression of unwanted consequences.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Projekti:
112-1121722-3314 - Informacijsko-komunikacijske tehnologije u inteligentnim pomorskim sustavima (Tomas, Vinko, MZOS ) ( POIROT)

Ustanove:
Pomorski fakultet, Rijeka

Profili:

Avatar Url Jasmin Ćelić (autor)

Avatar Url Miroslav Bistrović (autor)

Citiraj ovu publikaciju:

Bistrović, Miroslav; Ćelić, Jasmin; Komorčec, Domagoj
Computer Vision Application for Early Stage Smoke Detection on Ships // Pomorski zbornik, 52 (2016), 2; 63-80 (podatak o recenziji nije dostupan, prethodno priopćenje, znanstveni)
Bistrović, M., Ćelić, J. & Komorčec, D. (2016) Computer Vision Application for Early Stage Smoke Detection on Ships. Pomorski zbornik, 52 (2), 63-80.
@article{article, author = {Bistrovi\'{c}, Miroslav and \'{C}eli\'{c}, Jasmin and Komor\v{c}ec, Domagoj}, year = {2016}, pages = {63-80}, keywords = {technology, modeling, computer vision, video-based smoke detection}, journal = {Pomorski zbornik}, volume = {52}, number = {2}, issn = {0554-6397}, title = {Computer Vision Application for Early Stage Smoke Detection on Ships}, keyword = {technology, modeling, computer vision, video-based smoke detection} }
@article{article, author = {Bistrovi\'{c}, Miroslav and \'{C}eli\'{c}, Jasmin and Komor\v{c}ec, Domagoj}, year = {2016}, pages = {63-80}, keywords = {technology, modeling, computer vision, video-based smoke detection}, journal = {Pomorski zbornik}, volume = {52}, number = {2}, issn = {0554-6397}, title = {Computer Vision Application for Early Stage Smoke Detection on Ships}, keyword = {technology, modeling, computer vision, video-based smoke detection} }

Uključenost u ostale bibliografske baze podataka::


  • ASFA: Aquatic Science and Fisheries Abstracts
  • TRID – the TRIS and ITRD database
  • EBSCO Academic Search Complete
  • PROQUEST - Natural Science Collection
  • SciTech Collection
  • Technology Collection
  • Ulrich's Intl Periodicals Directory
  • News of New Electronic Journals
  • ZDB - Zeitschriftendatenbank
  • PROQUEST-ZDB
  • Worldcat Libraries





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