dc.creator | Fernández Berni, Jorge | es |
dc.creator | Carmona Galán, Ricardo | es |
dc.creator | Carranza González, Luis | es |
dc.creator | Cano Rojas, Alberto | es |
dc.creator | Martínez Carmona, Juan F. | es |
dc.creator | Rodríguez Vázquez, Ángel Benito | es |
dc.creator | Morillas Castillo, Sergio | es |
dc.date.accessioned | 2018-07-24T09:01:23Z | |
dc.date.available | 2018-07-24T09:01:23Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Fernández Berni, J., Carmona Galán, R., Carranza González, L., Cano Rojas, A., Martínez Carmona, J.F., Rodríguez Vázquez, Á.B. y Morillas Castillo, S. (2010). On-site forest fire smoke detection by low-power autonomous vision sensor. En VI International Conference on Forest Fire Research, Coimbra (Portugal). | |
dc.identifier.uri | https://hdl.handle.net/11441/77544 | |
dc.description.abstract | Early 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. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación 2006-TIC-2352, TEC2009-11812 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.relation.ispartof | VI International Conference on Forest Fire Research (2010), pp. 1-10. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Forest fires | es |
dc.subject | Monitoring systems | es |
dc.subject | Wireless sensor networks | es |
dc.subject | Automatic early detection | es |
dc.subject | Artificial vision | es |
dc.subject | Autonomous sensors | es |
dc.subject | Vision algorithms | es |
dc.title | On-site forest fire smoke detection by low-power autonomous vision sensor | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo | es |
dc.relation.projectID | 2006-TIC-2352 | es |
dc.relation.projectID | TEC2009-11812 | es |
idus.format.extent | 10 p. | es |
dc.publication.initialPage | 1 | es |
dc.publication.endPage | 10 | es |
dc.eventtitle | VI International Conference on Forest Fire Research | es |
dc.eventinstitution | Coimbra (Portugal) | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | |