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dc.creatorFernández Berni, Jorgees
dc.creatorCarmona Galán, Ricardoes
dc.creatorMartínez Carmona, Juan F.es
dc.creatorRodríguez Vázquez, Ángel Benitoes
dc.date.accessioned2018-07-02T14:44:47Z
dc.date.available2018-07-02T14:44:47Z
dc.date.issued2012
dc.identifier.citationFernández Berni, J., Carmona Galán, R., Martínez Carmona, J.F. y Rodríguez Vázquez, Á.B. (2012). Early forest fire detection by vision-enabled wireless sensor networks. International Journal of Wildland Fire, 21 (8), 938-949.
dc.identifier.issn1049-8001es
dc.identifier.issn1448-5516es
dc.identifier.urihttps://hdl.handle.net/11441/76598
dc.description.abstractWireless sensor networks constitute a powerful technology particularly suitable for environmental monitoring. With regard to wildfires, they enable low-cost fine-grained surveillance of hazardous locations like wildland-urban interfaces. This paper presents work developed during the last 4 years targeting a vision-enabled wireless sensor network node for the reliable, early on-site detection of forest fires. The tasks carried out ranged from devising a robust vision algorithm for smoke detection to the design and physical implementation of a power-efficient smart imager tailored to the characteristics of such an algorithm. By integrating this smart imager with a commercial wireless platform, we endowed the resulting system with vision capabilities and radio communication. Numerous tests were arranged in different natural scenarios in order to progressively tune all the parameters involved in the autonomous operation of this prototype node. The last test carried out, involving the prescribed burning of a 95 x 20-m shrub plot, confirmed the high degree of reliability of our approach in terms of both successful early detection and a very low false-alarm rate. Journal compilationes
dc.description.sponsorshipMinisterio de Ciencia e Innovación TEC2009-11812, IPT-2011-1625-430000es
dc.description.sponsorshipOffice of Naval Research (USA) N000141110312es
dc.description.sponsorshipCentro para el Desarrollo Tecnológico e Industrial IPC-20111009es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherCSIRO Publishinges
dc.relation.ispartofInternational Journal of Wildland Fire, 21 (8), 938-949.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSmoke detectiones
dc.subjectFalse alarm ratees
dc.subjectEnergy efficiencyes
dc.subjectArtificial visiones
dc.subjectFocal-plane processinges
dc.subjectVLSI implementationes
dc.titleEarly forest fire detection by vision-enabled wireless sensor networkses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Electrónica y Electromagnetismoes
dc.relation.projectIDTEC2009-11812es
dc.relation.projectIDIPT-2011-1625-430000es
dc.relation.projectIDN000141110312es
dc.relation.projectIDIPC-20111009es
dc.relation.publisherversionhttp://dx.doi.org/10.1071/WF11168es
dc.identifier.doi10.1071/WF11168es
idus.format.extent28 p.es
dc.journaltitleInternational Journal of Wildland Firees
dc.publication.volumen21es
dc.publication.issue8es
dc.publication.initialPage938es
dc.publication.endPage949es
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). España
dc.contributor.funderOffice of Naval Research (ONR). United States

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