In one embodiment, a method is disclosed that includes selecting a first color sample within a target area in a first image of a first object displayed by a display device; selecting a second color sample within a target area in a second image of a second object displayed in the display device; comparing the first color sample against the second color sample to determine a measure of color difference or a measure of color equivalence between the first color sample of the first object and the second color sample of the second object; and displaying the results of the comparison to a user in the display device. One or more of these functions may be performed with a processor.

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 application relates to a spectral restoring method, including: acquiring a light energy response signal matrix output by a photosensitive chip of a spectral imaging device and a standard spectrum; determining a primitive restoring function and a response signal vector of the primitive restoring function based on the light energy response signal matrix, the primitive restoring function restoring a spectral image value of a predetermined channel corresponding thereto using a predetermined pixel value of the photosensitive chip and pixel values in the vicinity thereof; acquiring a restoring tensor, the product of the restoring tensor and the response signal vector being equal to an output of the primitive restoring function based on the response signal vector; and obtaining a restored spectral image based on the product of the restoring tensor and the response signal vector. In this way, by introducing a standard spectrum and a restoring tensor to restore a spectral image, it is possible to achieve spectral restoring with high speed, easy parallel operation and high restoring accuracy.

Disclosed herein are a communication system, a monitoring system for in-situ monitoring of a substance used in a gas scrubbing process, and related methods. The monitoring system can be used to monitor the at least one substance and provide treatment data for treating the at least one substance. The communication system includes a cloud server, a first server, a second server, and a third server. The first and second servers respectively include first and second communication interfaces configured to provide spectral information to the cloud server.

The cloud server is configured to generate a calibration model including at least one parameter; apply the calibration model to the spectral information provided by the second server, whereby at least one value for the at least one parameter is extracted; and provide the at least one value for the at least one parameter to the first server via the first communication interface.

A method for true-to-sample measurement by a mobile ingredient analysis system having a housing with a window, an interface for an external reference unit, a display and operating unit, a light source, an optical spectrometer, a camera, an internal reference unit, and an electronic control unit. The method includes: selecting a calibration product suitable for a sample to be examined; performing a plausibility check of the calibration product, an incorrect selection being signaled and an alternative calibration product being selected; outputting measurement conditions comprising the measurement point to be selected and measurement duration for the selected calibration product; capturing measured values of the sample by the spectrometer under the measurement conditions and with simultaneous monitoring of the measurement conditions; processing the captured measured values by means of an electronic control unit, each measured value captured while the measurement conditions were met being declared valid; outputting the measured values deemed valid.

A multispectral sensor array can include a combination of ranging sensor channels (e.g., LIDAR sensor channels) and ambient-light sensor channels tuned to detect ambient light having a channel-specific property (e.g., color). The sensor channels can be arranged and spaced to provide multispectral images of a field of view in which the multispectral images from different sensors are inherently aligned with each other to define an array of multispectral image pixels. Various optical elements can be provided to facilitate imaging operations. Light ranging/imaging systems incorporating multispectral sensor arrays can operate in rotating and/or static modes.

A measurement system is provided with an array of laser diodes with one or more Bragg reflectors. At least a portion of the light generated by the array is configured to penetrate tissue comprising skin. A detection system configured to: measure a phase shift, and a time-of-flight, of at least a portion of the light from the array of laser diodes reflected from the tissue relative to the portion of the light generated by the array; generate one or more images of the tissue; detect oxy- or deoxy-hemoglobin in the tissue; non-invasively measure blood in blood vessels within or below a dermis layer within the skin; measure one or more physiological parameters based at least in part on the non-invasively measured blood; and measure a variation in the blood or physiological parameter over a period of time.

A control method of a spectroscopic imaging device including an imaging element and a spectral element, the control method includes causing the spectroscopic imaging device to generate a first measurement spectrum consisting of N1 wavelengths by imaging a target object by making output wavelengths of a spectral element different when the spectroscopic imaging device is in a high accuracy mode and causing the spectroscopic imaging device to generate a second measurement spectrum consisting of N2 wavelengths by imaging the target object by making the output wavelengths of the spectral element different when the spectroscopic imaging device is in a high speed mode, in which N1 is an integer greater than or equal to two, and N2 is an integer less than N1.

A method, system, apparatus, and/or device to determine a condition of a user using a wearable device with a miniaturized spectrometer. The method, system, apparatus, and/or device may include: a band configured to extend at least partially around a body part of a user, the body part comprising an internal feature within the body part; a light source embedded in the band, where the light source is configured to emit light into the body part as the user wears the band; a collimator; an optical filter; and an optical sensor, where the collimator, optical sensor, or the optical filter are arranged together to form a stack embedded in the band.

There is provided an apparatus (100) comprising one or more processors (102) configured to acquire a multi-/hyperspectral two-dimensional image of an object at respective wavelengths. For at least one pixel of the image corresponding to a first point on an object surface, a set of intensity values for said at least one pixel is compared to a characteristic curve to determine a similarity measure. A first angle of the first point is estimated from the similarity measure or a correction is applied to the image at the first point using the similarity measure. The characteristic curve is a difference between a spectrum of at least one second point on the object surface at a second angle with respect to a plane of the image and a spectrum of at least one third point on the object surface at a third angle with respect to the plane of the image.