English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/96012
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


On-site forest fire smoke detection by low-power autonomous vision sensor

AuthorsFernández-Berni, J. ; Carmona-Galán, R. ; Carranza-González, L. ; Cano-Rojas, Alberto; Martínez-Carmona, Juan F.; Rodríguez-Vázquez, Ángel ; Morillas, Sergio
KeywordsForest fires
Autonomous sensors
Artificial vision
Automatic early detection
Wireless sensor networks
Vision algorithms
Monitoring systems
Issue Date2010
CitationVI International Conference on Forest Fire Research (2010)
AbstractEarly detection plays a crucial role to prevent forest fires from spreading. Wireless vision sensor networks deployed throughout high-risk areas can perform fine-grained surveillance and thereby very early detection and precise location of forest fires. One of the fundamental requirements that need to be met at the network nodes is reliable low-power on-site image processing. It greatly simplifies the communication infrastructure of the network as only alarm signals instead of complete images are transmitted, anticipating thus a very competitive cost. As a first approximation to fulfill such a requirement, this paper reports the results achieved from field tests carried out in collaboration with the Andalusian Fire-Fighting Service (INFOCA). Two controlled burns of forest debris were realized (www.youtube.com/user/vmoteProject). Smoke was successfully detected on-site by the EyeRISTM v1.2, a general-purpose autonomous vision system, built by AnaFocus Ltd., in which a vision algorithm was programmed. No false alarm was triggered despite the significant motion other than smoke present in the scene. Finally, as a further step, we describe the preliminary laboratory results obtained from a prototype vision chip which implements, at very low energy cost, some image processing primitives oriented to environmental monitoring.
DescriptionTrabajo presentado a la VI International Conference on Forest Fire Research celebrada en Coimbra (Portugal) del 15 al 18 de noviembre de 2010.
Publisher version (URL)http://www.adai.pt/icffr/2010/
Appears in Collections:(IMSE-CNM) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
On-site forest.pdf1,94 MBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.