Abstract: A multi-criteria fire detection system, comprising a plurality of sensors, wherein each sensor is capable of detecting a signature characteristic of a presence of a fire and providing an output indicating the same. A processor for receiving each output of the plurality of sensors is also employed. The processor includes a probabilistic neural network for processing the sensor outputs. The probabilistic neural network comprises a nonlinear, nor-parametric pattern recognition algorithm that operates by defining a probability density function for a plurality of data sets that are each based on a training set data and an optimized kernel width parameter. The plurality of data sets includes a baseline, non-fire, fist data set; a second, fire data set, and a third, nuisance data set.

Abstract: This invention discloses an Excitation Emission Matrix (EEM) fluorescence spectrometer system that uses an LED array to cause excitation emission matrix fluorescence that is imaged onto a spectrograph for sample identification and analysis. By using the LED array, the spectrograph requires only high spectroscopic resolution of about 1 to 5 nm in the fluorescence emission range and low excitation light resolution of about 14 to 73 nm in the excitation range. While individual LED optical excitation spectra may contain wavelength regions that overlap, as long as the various LEDs have different excitation wavelengths and intensities, spectral overlap does not preclude data analysis. The invention provides an EEM spectroscopy system that is not a high resolution such as a laser or lamp based excitation system, but instead uses a lower resolution, lower power LED system.

Abstract: This invention discloses an Excitation Emission Matrix (EEM) fluorescence spectrometer system that uses an LED array to cause excitation emission matrix fluorescence that is imaged onto a spectrograph for sample identification and analysis. By using the LED array, the spectrograph requires only high spectroscopic resolution of about 1 to 5 nm in the fluorescence emission range and low excitation light resolution of about 14 to 73 nm in the excitation range. While individual LED optical excitation spectra may contain wavelength regions that overlap, as long as the various LEDs have different excitation wavelengths and intensities, spectral overlap does not preclude data analysis. The invention provides an EEM spectroscopy system that is not a high resolution such as a laser or lamp based excitation system, but instead uses a lower resolution, lower power LED system.