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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2017

24.11.2016

Towards Development of a Low Cost Early Fire Detection System Using Wireless Sensor Network and Machine Vision

verfasst von: Kehkashan Kanwal, Aasia Liaquat, Mansoor Mughal, Abdul Rehman Abbasi, Muhammad Aamir

Erschienen in: Wireless Personal Communications | Ausgabe 2/2017

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Abstract

Fire is one of the most prominent threat to safety of human and property, in both domestic and industrial setups. Efficiently combating a fire threat, usually, depends on how early the fire is detected. This paper reports work for development of a low cost wireless sensor-based system for surveillance and early fire detection, using machine vision technique. The system consists of an on-board camera node, capable of transmitting videos over wireless network to a remote host computer that runs an image processing based fire detection algorithm. The system is standalone and portable with the capability of transmitting videos to virtually anywhere in the world. Prototype of the system has been successfully tested, performing video streaming alongwith segmentation of fire regions using HSI features of the retrieved images. Future work will inlcude automatic fire detection and alarm generation alongwith the extension of the system on multiple and widely scattered transmission nodes.
Vorheriger Artikel Design and Implementation of a Multihoming-Based Scheme to Support Mobility Management in NEMO
Nächster Artikel WSN Based Smart Control and Remote Field Monitoring of Pakistan’s Irrigation System Using SCADA Applications

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Literatur
1.
Çetin, E. A., Dimitropoulos, K., Gouverneur, B., Grammalidis, N., Günay, O., Habiboǧlu, Y. H., et al. (2013). Video fire detection—review. Digital Signal Processing, 23, 1827–1843.CrossRef
2.
Wang, S., & Chen, J. (2012). A method of video flame detection based on multi-feature fusion. Journal of Convergence Information Technology, 7(21), 634–642.CrossRef
3.
Kim, Y.-H., Kim, A., & Jeong, H.-Y. (2014). Rgb color model based fire detection algorithm in video sequences on wireless sensor network. International Journal of Distributed Sensor Networks, 10, 1477–1550.
4.
Shen, P., Zhang, L., Song, J., Xu, H., Zhou, L., Wei, W., et al. (2013). Dm642-based fire detection in video sequences using statistical color model. International Journal of Digital Content Technology and its Applications, 7(3), 669–678.CrossRef
5.
Healey, G., Slater, D., Lin, T., Drda, B., & Goedeke, A. D. (1993). A system for real-time fire detection. In Proceedings of the IEEE conference on computer vision and pattern recognition.
6.
Hempstead, M., Lyons, M. J., Brooks, D., & Wei, G.-Y. (2008). Survey of hardware systems for wireless sensor networks. Journal of Low Power Electronics, 4(1), 1–10.CrossRef
7.
Aslan, Y. E., Korpeoglu, I., & Ulusoy, Ö. (2012). A framework for use of wireless sensor networks in forest fire detection and monitoring. Elsevier Journal on Computers, Environment and Urban Systems, 36, 614–625.CrossRef
8.
Alkhatib, A. A. A. (2013). Smart and low cost technique for forest fire detection using wireless sensor network. International Journal of Computer Applications, 81(11), 12–18.CrossRef
9.
Lloret, J., Garcia, M., Bri, D., & Sendra, S. (2009). A wireless sensor network deployment for rural and forest fire detection and verification. Sensors, 9, 8722–8747.CrossRef
10.
Kurata, N., Spencer Jr., B. F., & Ruiz-Sandoval, M. (2004). Building risk monitoring using wireless sensor network. In Proceedings of the 13th world conferences on earthquake engineering.
11.
Al-Marakeby, A. (2013). Camera-based wireless sensor networks for e-health. International Journal of Advanced Research in Computer and Communication Engineering, 2, 4757–4761.
12.
Stipaničev, D., Štula, M., Krstinić, D., Šerić, L., Jakovčević, T., & Bugarić, M. (2010). Advanced automatic wildfire surveillance and monitoring network. In Proceedings of the 6th international conference on forest fire research.
13.
14.
Kochláň, M., Hodoň, M., Čechovič, L., Kapitulík, J., & Jurečka, M. (2014). WSN for traffic monitoring using raspberry piboard. In: Proceedings of the federated conference on computer science and information systems.
15.
Lin, S. Y., Luo, R. C., & Su, K. L. (2003). A multi agent multi sensorbased security system for intelligent building. In Proceedings of the IEEE conference on multi sensor fusion and integration for intelligent systems.
16.
Muller, H. C., & Fischer, A. (1995). A robust fire detection algorithm for temperature and optical smoke density using fuzzy logic. In Proceedings of the 29th international conference on security technology (pp. 197–204).
17.
Bartoloni, A., Cisbani, E., Marchese, M., Efisei, G., & Salvati, A. (2002). Early fire detection system based on multi-temporal images of geostationary and polar satellites. In Proceedings of the IEEE international geoscience and remote sensing symposium.
18.
Odic, R. M., Jones, R. I., & Tatam, R. P. (2002). Distributed temperature sensor for aeronautic applications. In Optical fiber sensors conference technical digest.
19.
Arrue, B. C., Ollero, A., & Matinez de Dios, J. R. (2002). An intelligent system for false alarm reduction in infrared forest-fire detection. IEEE Intelligent Systems and Their Applications, 15(3), 64–73.
20.
Kaiser, T. (2000). Fire detection with temperature sensor arrays. In Proceedings of the 34th international conference on security technology.
21.
Luo, R. C., Su, K. L., & Tsai, K. H. (2002). Fire detection andisolation for intelligent building system using adaptive sensoryfusion method. In Proceedings of the international conference on robotics and automation.
22.
Neubauer, A. (1997). Genetic algorithms in automatic fire detection technology. In Proceedings of the 2nd international conference on genetic algorithms in engineering systems: Innovations and applications.
23.
Xiao, J.-M., & Wang, X.-H. (2003). A fuzzy neural network approach to fire detection in ships. In Proceedings of the 12th IEEE international conference on fuzzy systems.
24.
Sun, C. T., Jang, J. S. R., & Mizutani, E. (1997). Neuro fuzzy and soft computing. Upper Saddle River: Prentice-Hall.
25.
Noda, S., & Ueda, K. (1994). Fire detection in tunnels using animage processing method. In Proceedings of the IEEE conference on vehicle navigation and information systems.
26.
Foo, S. Y. (1995). A machine vision approach to detect and categorizehydrocarbon fires in aircraft dry bays and engine compartments. In Proceedings of the IEEE conference on industry applications.
27.
Foo, S. Y. (2000). A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments. IEEE Transactions on Industrial Electronics, 47, 1161–1171.CrossRef
28.
Yamagishi, H., & Yamaguchi, J. (1999). Fire flame detectionalgorithm using a color camera. In IEEE international symposium on micromechatronics and human science.
29.
Yamagishi, H., & Yamaguchi, J. (2000). A contour fluctuation data processing method for fire flame detection using a color camera. In Proceedings of the 26th IEEE annual conference on industrial electronics society.
30.
Phillips, W., Shah, M., & Da Vitoria Lobo, N. (2000). Flame recognition in video. In IEEE workshop on applications of computer vision.
Metadaten
Titel
Towards Development of a Low Cost Early Fire Detection System Using Wireless Sensor Network and Machine Vision
verfasst von
Kehkashan Kanwal
Aasia Liaquat
Mansoor Mughal
Abdul Rehman Abbasi
Muhammad Aamir
Publikationsdatum
24.11.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3904-6

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