Document


Title

Early forest fire detection by vision-enabled wireless sensor networks
Document Type: Journal Article
Author(s): Jorge Fernández-Berni; Ricardo Carmona-Galán; Juan F. Martínez-Carmona; Ángel Rodríguez-Vázquez
Publication Year: 2012

Cataloging Information

Keyword(s):
  • artificial vision
  • energy efficiency
  • false alarm
  • fire detection
  • fire management
  • photography
  • remote sensing
  • smoke behavior
  • smoke detection
  • smoke effects
  • smoke management
  • Spain
  • statistical analysis
Record Maintained By:
Record Last Modified: June 1, 2018
FRAMES Record Number: 13411
Tall Timbers Record Number: 28033
TTRS Location Status: In-file
TTRS Call Number: Journals - I
TTRS Abstract Status: Okay, Fair use, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

Wireless 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.

Online Link(s):
Citation:
Fernández-Berni, Jorge; Carmona-Galán, Ricardo; Martínez-Carmona, Juan F.; Rodríguez-Vázquez, Ángel. 2012. Early forest fire detection by vision-enabled wireless sensor networks. International Journal of Wildland Fire 21(8):938-949.