We demonstrate the use of an active hyperspectral sensor for detection and recognition of persons in snowy foliage. The sensor employs a tunable broadband supercontinuum light source for remote spectrum measurement. An algorithm based on support vector machines is used in real-time to classify the object, from which the supercontinuum laser pulse scattered. We present results for person detection during simulated illegal border cross activities in snowy terrain.
There is a need for sensor technologies capable of identifying illegal border crossings through foliage. In this work, we study the use of a novel active hyperspectral sensor for remote identification of persons and vehicles through foliage. The AHS sensor is based on a continuously tunable near-infrared supercontinuum light source and a microelectromechanical Fabry-Pérot interferometer for transmission band selection. Real-time spectral detection algorithms are used to identify the targets based on the spectral content of the back-scattered light. Preliminary results are presented from both in-lab and outdoors.
Foodborne disease is one of the major public health problems worldwide. The conventional methods used to detect foodborne pathogens require multiple incubation steps and take a long time to results. Thus, there is an urgent need for biosensors that can determine pathogens without special sample preparation. This paper outlines a method for discriminating E. coli contaminated meat since this bacterium has been implicated as one of the main causative agents of food illness. The method is based on the laser-induced fluorescence response of the Flavin group that is presented among E. coli bacteria’s metabolites. The fluorescence activity of metabolites produced by five E. coli strains was investigated. The list of analyzed strains contains ATCC 25922 E. coli, Enteropathogenic E. coli, Enteroinvasive E. coli, Enterotoxigenic E. coli, and Enteroaggregative E. coli. The preliminary results have allowed developing the statistical model using a part of the fluorescence spectra in the range of 520-560 nm when excited at 450 nm. The proposed model is aimed to differentiate contaminated and uncontaminated meat samples. It has been confirmed that the examined technique provides detection of a bacterial concentration of 106 CFU∙cm-2 in five hours after initial contamination at room temperature. The further improvement of the method by using fluorescent probes is discussed.
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