An example system includes a first spectrometer, a second spectrometer, and an electronic control device communicatively coupled to the first spectrometer and the second spectrometer. The first spectrometer is operable to emit first light using a first light source towards a sample region between the first spectrometer and the second spectrometer. The first spectrometer is also operable to measure first reflected light reflected using a first photodetector from an object in the sample region. The second spectrometer is operable to measure first transmitted light transmitted through the object using a second photodetector. The electronic control device is operable to determine, based on at least one of the measured first reflected light or the measured first transmitted light, a spectral distribution of light corresponding to the object.

An infrared light source radiates, to an ATR prism, infrared light in entirety or part of a wavelength range with absorption wavelengths of a biological material. The ATR prism is adherable to a measurement skin. A prism vibration controller is mounted on the ATR prism and vibrates the ATR prism perpendicular to a contact surface between the ATR prism and the measurement skin. A controller causes an infrared photodetector to detect infrared light in synchronization with the vibration of the ATR prism.

A determination method includes: obtaining measurement data; selecting 0 or more second wavelengths from a plurality of first wavelengths including at least one of a plurality of measurement wavelengths to generate a plurality of individuals, by using a genetic algorithm; inputting, to a first model learned to reproduce a correct answer label of a target object, the measurement data of the target object belonging to a remaining group and a second spectroscopic spectrum determined by the second wavelength to discriminate a label of the target object belonging to the remaining group, for each of the plurality of individuals; and determining whether or not to use the second wavelength as the wavelength of the spectroscopic spectrum for discrimination based on a rate at which the label is correctly discriminated.

This far-infrared spectroscopy device is provided with: a variable wavelength far-infrared light source that generates first far-infrared light; an illuminating optical system that irradiates a sample with the first far-infrared light; a detecting nonlinear optical crystal that converts second far-infrared light into near-infrared light using pump light, said second far-infrared light having been transmitted from the sample; and a far-infrared image-forming optical system that forms an image of the sample in the detecting nonlinear optical crystal. The irradiation position of the first far-infrared light on the sample does not depend on the wavelength of the first far-infrared light.

The disclosure provides a spectrometer, which includes a housing and a spectrum measurement module. The housing has an arrangement surface and an opening. The spectrum measurement module is disposed in the housing and has a measurement surface. The measurement surface is exposed from the opening of the housing, and there is a height difference between the measurement surface and the arrangement surface.

In some embodiments, a system comprises a head-mounted frame removably coupleable to the user's head; one or more light sources coupled to the head-mounted frame and configured to emit light with at least two different wavelengths toward a target object in an irradiation field of view of the light sources; one or more electromagnetic radiation detectors coupled to the head-mounted member and configured to receive light reflected after encountering the target object; and a controller operatively coupled to the one or more light sources and detectors and configured to determine and display an output indicating the identity or property of the target object as determined by the light properties measured by the detectors in relation to the light properties emitted by the light sources.

In an embodiment a measuring unit includes a light emitting LED component including a housing occupying a housing surface G and an LED chip located within the housing, the LED chip including a light emitting light surface L and being configured to emit light; a photodetector configured to detect reflected light reflected from a measured object originating from the LED component and output a measurement signal dependent on a detection of the reflected light; and an integrated circuit configured to evaluate the measurement signal, wherein the LED component, the photodetector, and the integrated circuit are combined into an integrated unit; and a conversion layer disposed in the housing and located above the LED chip, the conversion layer configured to convert the light into multiband light, wherein a ratio L/G of is greater than or equal to 0.8, and wherein the measuring unit is configured to optically measure at least one property of the measured object.

The disclosure relates to an infrared spectrometer comprising first and second opposing reflectors spaced apart by a spacing length, and a plurality of discrete concave reflecting facets, the reflecting facets being facets of at least one of the opposing reflectors. An infrared laser source is arranged to form a laser beam. The opposing reflectors are arranged such that the laser beam is reflected alternately from each of the opposing reflectors, including being reflected at least once by each of the reflecting facets. A detector is arranged to detect spectral properties of the laser beam after reflection from each of the plurality of reflecting facets, and an analyser then determines properties of a sample disposed between the first and second opposing reflectors from the detected spectral properties.

A characteristic of edible oil may be evaluated using a spectrometer. For example, optical reflectance data may be obtained from edible oil in situ in a frying apparatus housing the edible oil, the reflectance data corresponding to a specified range of infra-red wavelengths. A model profile corresponding to the characteristic being assessed may be obtained, such as from a repository housing a secured library of such profiles. The model profile may define a regression vector for use in transforming the reflectance data to generate a value corresponding to the characteristic being assessed. A criterion may be applied to the value to establish a simplified representation of the characteristic for presentation to a user for assessment of oil quality.

In particular, a method performed by one or more devices is disclosed, the method comprising: obtaining an intensity information item representative of a spectral image resulting from a soiling of a textile and/or from at least one part of a textile; determining at least one output variable dependent on the soiling of the textile and/or at least one property of the textile from the intensity information item, wherein the output variable is determined by employing an adaptive evaluation algorithm, in particular an artificial neural network, wherein parameters of the adaptive evaluation algorithm are calibrated based on a plurality of training cases; outputting or triggering outputting of the at least one output variable. Furthermore, a device and a system for performing the subject method is disclosed.