A Vision-based Monitoring System For Very Early
Automatic Detection Of Forest Fires
Author(s)
J. Fern´andez-Berni, R. Carmona-Gal´an & L. Carranza-Gonz´alez
Abstract
This paper describes a system capable of detecting smoke at the very beginning
of a forest fire with a precise spatial resolution. The system is based on a wireless
vision sensor network. Each sensor monitors a small area of vegetation by running
on-site a tailored vision algorithm to detect the presence of smoke. This algorithm
examines chromaticity changes and spatio-temporal patterns in the scene that are
characteristic of the smoke dynamics at early stages of propagation. Processing
takes place at the sensor nodes and, if that is the case, an alarm signal is transmitted
through the network along with a reference to the location of the triggered zone
– without requiring complex GIS systems. This method improves the spatial
resolution on the surveilled area and reduces the rate of false alarms. An energy
efficient implementation of the sensor/processor devices is crucial as it determines
the autonomy of the network nodes. At this point, we have developed an ad hoc
vision algorithm, adapted to the nature of the problem, to be integrated into a
single-chip sensor/processor. As a first step to validate the feasibility of the system,
we applied the algorithm to smoke sequences recorded with commercial cameras
at real-world scenarios that simulate the working conditions of the network nodes.
The results obtained point to a very high reliability and robustness in the detection
process.
Keywords: fire monitoring systems, automatic early detection, wireless sensors
networks, artificial vision algorithms.
Keywords
fire monitoring systems, automatic early detection, wireless sensors
networks, artificial vision algorithms.
Related Book
Other papers in this volume
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