Abstract:
A method for the automated early detection of forest fires by means of the optical detection of clouds of smoke, includes the following steps: producing images by means of at least one digital color-image camera and transmitting said images to a digital data processing medium; defining membership functions in a fuzzy-logic system for the classes “smoke,” “forest,” and “dark surface” by evaluating a plurality of test images or test sequences recorded by the color-image camera with respect to the saturation value (S) of the image pixel.
Abstract:
The monitoring of territories in order to recognize forest and surface fires requires complex automatic and human-assisted processes, which ultimately must include the control of intervention forces. Disclosed are processes for the centralised monitoring of territories. A swiveling and tiltable camera installed at a monitoring site supplies images of overlapping observation sectors. In each observation sector a sequence of images comprising a plurality of images is taken, at an interval which corresponds to fire and smoke dynamics. An on-site image-processing software supplies event warnings with indication of the position of the event site in the analysed image. A total image and an image sequence with image sections of the vent site are then transmitted to a central station and reproduced at the central station as an endless sequence in quick-motion mode. Event warnings with all relevant data can be blended into electronic maps at the central station. Cross-bearing is made possible by blending event warnings from adjacent monitoring sites. False alarms are minimized in that known false alarm sources are marked as exclusion zones in reference images.
Abstract:
Disclosed are processes for the centralised monitoring of territories to recognize forest and surface fires. A swiveling and tiltable camera installed at a monitoring site supplies images of overlapping observation sectors. In each observation sector a sequence of images includes a plurality of images is taken, at an interval which corresponds to fire and smoke dynamics. An on-site image-processing software supplies event warnings with indication of the position of the event site in the analysed image. A total image and an image sequence with image sections of the event site are then transmitted to a central station and reproduced at the central station as a continuous sequence in quick-motion mode. Event warnings with relevant data are blended into electronic maps at the central station. Cross-bearing is made possible by blending event warnings from adjacent monitoring sites. False alarms are minimized by marking known false alarm sources as exclusion zones.