A method for detecting fires and reacting thereto. A stationary, earth orbit satellite, drone aircrafts or piloted aircraft contains infrared detectors and optical means for detecting fires. A computer in the satellite, drone or piloted aircraft and/or on the ground analyzes image signals of the are
A method for detecting fires and reacting thereto. A stationary, earth orbit satellite, drone aircrafts or piloted aircraft contains infrared detectors and optical means for detecting fires. A computer in the satellite, drone or piloted aircraft and/or on the ground analyzes image signals of the areas being monitored and, upon detecting infrared radiation of varying intensity and shape, indicative that a fire has started, generates signals which are indicative of the coordinate locations of the fire, the extent of the fire, the shape of the area(s) burning, the direction of movement of the fires, the speed(s) of the flame fronts, smoke condition, intensity of the fire, fire ball location(s), etc. In one form, a camera generates image signals which are digitized and recorded. Expert system logic is used to prioritize dangerous areas to assist in directing fire fighting. Information is transmitted to earth bound and/or aircraft contained receivers where fire fighting equipment is available for immediate dispatch to the fire zone.
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A method for detecting fires and reacting thereto. A stationary, earth orbit satellite, drone aircrafts or piloted aircraft contains infrared detectors and optical means for detecting fires. A computer in the satellite, drone or piloted aircraft and/or on the ground analyzes image signals of the are
A method for detecting fires and reacting thereto. A stationary, earth orbit satellite, drone aircrafts or piloted aircraft contains infrared detectors and optical means for detecting fires. A computer in the satellite, drone or piloted aircraft and/or on the ground analyzes image signals of the areas being monitored and, upon detecting infrared radiation of varying intensity and shape, indicative that a fire has started, generates signals which are indicative of the coordinate locations of the fire, the extent of the fire, the shape of the area(s) burning, the direction of movement of the fires, the speed(s) of the flame fronts, smoke condition, intensity of the fire, fire ball location(s), etc. In one form, a camera generates image signals which are digitized and recorded. Expert system logic is used to prioritize dangerous areas to assist in directing fire fighting. Information is transmitted to earth bound and/or aircraft contained receivers where fire fighting equipment is available for immediate dispatch to the fire zone. . Erickson, "What is cognitive computing!, Part 2 of 3", (available at http://www.spi.org/cgi...seeit&csum=16068819102 on Dec. 8, 1996). Fahlman et al., "The cascade-correlation learning architecture", Adv. Neur. Informat. Process. Systems 2:524-532 (1989). Fahlman, "Fast learning variations on back-propagation: An empirical study", Proc. 1988 Connectionist Models Summer School, Pittsburgh, pp. 38-51 (1988). Haddawy, "Decision systems and artificial intelligence laboratory", (available at http:/www.cs.uwm.edu/;;public/dsail/on Nov. 21, 1996). Kahn, "Mammonet: Mammography decision supports system", (avaiable at http://www.mcw.edu/midas/mammo.html on Nov. 21, 1996). Keller, "Artificial neural networks in medicine", Handout/Technology brief, Pacific Nortwest Laboratory. Keller et al., "A novel approach to modeling and diagnosing the cardiovascular system", (available at http://www.emsl.pnl.gov:2080/docs/c...ural/papers2/keller.wcnn95.abs.html on Nov. 21, 1996). Kim et al., "Ensemble competitive learning neural networks with reduce input dimension", Intl. J . of Neural Systems 6(2):133-142, 1995. Kol et al., "Interpretation of nonstress test by artificial neural network", Amer. J. Obstet. Gynecol. 172:1372-1379 (1995). Lapuerta et al., "Use of neural networks in predicting the risk of coronary artery disease", Computers and Biomedical Research 28:38-52 (1995). Logical Designs Consulting, Inc., "Thinks� and ThinksPro� Neural networks for windows: Your complete neural network development environment". Maclin et al., "Using neural networks to diagnose cancer", J. Med. Systems 15:11-19 (1991). Mobley, et al., "Artifical neural network predictions of lengths of stay on a post coronary care unit", Heart and Lung 24:251-256 (1995). Modai, et al., "Clinical decisions for psychiatric inpatients and their evaluation by trained neural networks", Methods of Information in Medicine 32:396-399 (1993). Moneta et al., "Automated diagnosis and disease characterization using neural network analysis", Instittute of Electrical and Electronics Engineers--Emergent Innovations on Information Transfer Processing and decision Making, Chicago, vol. 1 of 2: 123-128 (1992). "Multivariate statistical data reduction method", (available on http://www.spi.org/cgi...seeit&csum=17396875558 on Dec. 8, 1996). Nejad et al., "Significance measure and data dependency in classification methods", Instit. Elect. Electron. Engineers Intl. Conference on Neural Network Proceedings, Australia: 1816-1822 (1995). "Neural informatics pearls of wisdom", (availalbe on http://www.smi.stanford.edu/people/...hysiology/Neuro_Pearls.html#ANN-app on
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