An object recognition apparatus includes a first spectrometer configured to obtain a first type of spectrum data from light scattered, emitted, or reflected from an object; a second spectrometer configured to obtain a second type of spectrum data from the light scattered, emitted, or reflected from the object, the second type of spectrum data being different from the first type of spectrum data; an image sensor configured to obtain image data of the object; and a processor configured to identify the object using data obtained from at least two from among the first spectrometer, the second spectrometer, and the image sensor and using at least two pattern recognition algorithms.

A means to automate, using fuzzy logic, the classification of spectral power distributions of optical radiation for lighting systems, and more particularly horticultural lighting systems, is presented. After inputting the spectral power distribution of optical radiation from one or more light sources, radial basis function weights for the spectral power distribution are determined and fuzzified preparatory to fuzzy logic classification. Fuzzy if-then rules are then applied, and an aggregate of the rule votes from the fuzzy if-then rules applied is used to classify the spectral power distribution. The system utilizes a spectral sensor, a fuzzifier module, a fuzzy rule database, fuzzy rule engine, an output fuzzifier module, and a means of displaying the spectral power distribution classification.

Systems and methods here may be used for automated capturing and analyzing spectrometer data of multiple sample gemstones on a stage, including mapping digital camera image data of samples, applying a Raman Probe to a first sample gemstone under evaluation on the stage, receiving spectrometer data of the sample gemstone from the probe, automatically moving the stage to a second sample, using the image data, and analyzing the other samples.

The present disclosure provides a detection system for detecting matter and distinguishing specific matter from other matter. The detection system comprises a spectral analysis system configured to at least assist in determining whether matter comprises the specific matter based on an intensity of light reflected from the specific matter. The spectral analysis system comprises a light source capable of emitting light having at least one known wavelength or wavelength range. Further, the spectral analysis system comprises an optical element for directing the emitted light towards the matter. The spectral analysis system also comprises a detector for detecting light reflected from the matter and a spatial analysis stem. The spatial analysis system is configured to at least assist in determining whether the matter comprises the specific matter based on a shape of the matter. The spatial analysis system comprising an image capturing device for capturing an image of the matter. Further, the spatial analysis system comprises an outcome determination system arranged to receive a first input from the spectral analysis system and a second input from the spatial analysis system, and determine an outcome providing an indication of whether the matter is specific matter based on the first and second inputs.

Systems for and methods for in situ optimization of tunable light emitting diode sources are disclosed herein. During operation, the systems and methods obtain real-time feedback from an image sensor, and that feedback is used to tune the tunable LEDs. By tuning the tunable LEDs, the best values for the LED spectral output can be selected based on the feedback from the image sensor, and an image with improved contrast is obtained. Alternatively, the amount of time to obtain an image with acceptable contrast is reduced.

A flip top spectrometer sample cell including first and second members each includes a window aligned with each other when the first and second members are coupled together defining a predefined spacing between the windows when the first and second members are coupled together, the first and second members decoupled for manually placing a fluid sample on a the window. The flip top spectrometer sample cell is configured to be withdrawn out of a housing for cleaning of the windows.

Various embodiments disclosed herein describe a divided-aperture infrared spectral imaging (DAISI) system that is adapted to acquire multiple IR images of a scene with a single-shot (also referred to as a snapshot). The plurality of acquired images having different wavelength compositions that are obtained generally simultaneously. The system includes at least two optical channels that are spatially and spectrally different from one another. Each of the at least two optical channels are configured to transfer IR radiation incident on the optical system towards an optical FPA unit comprising at least two detector arrays disposed in the focal plane of two corresponding focusing lenses. The system further comprises at least one temperature reference source or surface that is used to dynamically calibrate the two detector arrays and compensate for a temperature difference between the two detector arrays.

An integrated portable sample analysis system includes a portable case including an interior panel and a spectrometer subsystem. The spectrometer subsystem includes a flip top spectrometer sample cell including first and second members each including a window aligned with each other when the first and second members are coupled together defining a predefined spacing between the windows when the first and second members are coupled together, the first and second members decoupled for manually placing a fluid sample on a the window. An analyzer behind the interior panel receives the flip top spectrometer sample cell therein when the first and second members are coupled together for analyzing the fluid sample located between the windows by directing radiation through the windows and the fluid sample. The flip top spectrometer sample cell is configured to be withdrawn out of the analyzer for cleaning of the windows. The integrated portable sample analysis system also includes a viscometer subsystem including a flip top sample viscometer cell. The flip top sample viscometer cell includes a first plate including a rail configured to constrain a fluid sample manually presented thereto between its edges by surface tension, and a second plate including a surface spaced from the rail by a predefined gap for constraining fluid to the rail by surface tension when the rail is inclined by gravity and pulls the fluid along the rail. An analysis unit is behind the interior panel receiving the flip top viscometer sample cell therein when the first and second plates are coupled together for defining the viscosity of the sample flowing along said rail, and the flip top viscometer sample cell is configured to be withdrawn out of the analysis unit for cleaning of the rail. A processing subsystem is associated with the portable case and responsive to the spectrometer subsystem and the viscometer subsystem and configured to process outputs of the spectrometer subsystem and the viscometer subsystem and to provide a report concerning the sample, its physical properties, and its viscosity.

A pattern recognition system including an image gathering unit that gathers at least one digital representation of a field, an image analysis unit that pre-processes the at least one digital representation of a field, an annotation unit that provides a visualization of at least one channel for each of the at least one digital representation of the field, where the image analysis unit generates a plurality of image samples from each of the at least one digital representation of the field, and the image analysis unit splits each of the image samples into a plurality of categories.

The absorbance of a mixed sample at multiple wavelengths is determined and the concentrations of the sample constituents deduced from the observed absorbances. Assuming the sample constituents are known, these wavelengths correspond to peak absorption wavelengths for the constituents. Rather than attempt to generate an analytical relationship among absorbance levels and constituent concentrations, a database of absorbance values for each wavelength, spanning the range of possible analyte concentrations, is employed instead. In general, the wavelengths utilized correspond to peak absorption wavelengths for each of the analytes.