354 results about "Lighting spectrum" patented technology

The invention discloses a pixel-level multispectral fusion small target detection method and system based on mask enhancement. The method comprises the following steps: acquiring remote sensing image data to be processed, wherein the data comprises a multispectral image pair of a visible light spectrum and an infrared spectrum; splitting the multispectral modal image pair and inputting the split multispectral modal image pair into a feature fusion module at the same time to obtain respective masks, then obtaining feature information after mask processing according to the respective masks, performing feature fusion on the feature information and the split original image to obtain a first fusion result of a single modal feature, and then performing channel splicing and merging to obtain a second fusion result of the single modal feature; obtaining a result after the second fusion; inputting a result after the second fusion into an SE module, screening out effective information features, inhibiting redundant features, and obtaining an image after pixel-level fusion; and inputting the image after pixel-level fusion into a lightweight detection network to obtain a detection result. According to the invention, the detection precision of small targets in multi-modal remote sensing image target detection is improved.

The invention provides a detection system of a micro optical fiber coupler based on a bidirectional optical frequency comb vernier effect, which can be applied to the technical field of photoelectric detection. The system comprises: an optical frequency comb light source configured to emit detection light; the beam splitter is arranged to split the detection light into first sub-detection light and second sub-detection light; the reference sensing unit is arranged to guide the first sub detection light to interact with a reference solution through an evanescent field of the first micro optical fiber coupler so as to output first transmission light; the detection sensing unit is arranged to guide the second sub detection light to interact with the solution to be detected through an evanescent field of the second micro optical fiber coupler so as to output second transmission light; the beam combiner is set to combine the first transmission light and the second transmission light to obtain a combined light spectrum; the spectrum analyzer is set to collect the combined light and generate a vernier spectrum; and the processor is set to determine the concentration of the liquid to be detected according to the vernier spectrum.

The invention discloses a liquid crystal display filtering and light transmission performance monitoring system and a monitoring method thereof, and relates to the technical field of liquid crystal displays. An ambient light real-time monitoring module; a dual-optical-path differential measurement module; a signal processing and intelligent compensation module; a polarizer dynamic adjustment module; a data storage and analysis module; light intensity fluctuation data are collected in real time through an ambient light real-time monitoring module, reference light and transmission light are synchronously collected through a double-light-path differential measurement module, a signal processing and intelligent compensation module calls a self-adaptive algorithm library, compensation coefficients are calculated in combination with ambient light spectrum data, and a polaroid adjusting instruction is generated. And then an adjusting instruction is sent to the polaroid dynamic adjusting module through the CAN bus, the polaroid dynamic adjusting module feeds back an actual thickness value in real time after adjustment is completed, closed-loop control is formed, and through real-time compensation of ambient light and dual-light-path differential measurement, the influence of a station LED lamp and natural light is eliminated, and the monitoring precision of light filtering and light transmission performance is improved.

The invention provides a single-pixel-based visible light infrared fusion compression spectrum imaging system and method, and the method comprises the following steps: 1, carrying out the signal coding of a to-be-detected target signal, and obtaining a coded to-be-detected target infrared signal and a coded to-be-detected target visible light signal; step 2, inputting a to-be-measured target infrared signal into an infrared imaging light path, collecting a medium-wave infrared spectrum intensity value, and inputting a to-be-measured target visible light signal into a visible light imaging light path to collect a visible light spectrum intensity value; step 3, carrying out compressed sampling and reconstruction operation on the visible light spectrum intensity value and the medium wave infrared spectrum intensity value to obtain an infrared hyperspectral image and a visible light hyperspectral image of the target to be detected; 4, performing image fusion according to the infrared hyperspectral image and the visible light hyperspectral image to obtain a fused image with rich details; the fusion imaging of the method has the characteristic of keeping the feature information of the target scene so as to realize high-quality imaging.

The invention provides a display control method and system for a liquid crystal display screen, and the method comprises the steps: carrying out the nonlinear spectrum mapping processing of an input RGB drive value, and obtaining a theoretical emission spectrum through combining with the response characteristics of liquid crystal molecules; calculating a reflection spectrum component in the multilayer structure according to the ambient light spectrum, and superposing the reflection spectrum component with the theoretical emission spectrum to obtain an actual observation spectrum; calculating a difference value between the actual observation spectrum and the target spectrum, and converting the difference value into an RGB correction value through a constraint optimization algorithm to obtain an RGB driving value after ambient light compensation; and calculating actual white point color coordinates, and adjusting the actual white point color coordinates to a standard white point position through a progressive white point migration algorithm. Display parameters can be dynamically adjusted according to real-time ambient light conditions, the influence of ambient light reflection on colors is effectively compensated, meanwhile, color temperature consistency and color accuracy are ensured through white point correction, the display quality under different ambient lights is remarkably improved, and the visual experience of a user is improved.

The invention provides an all-day water body circular polarization hyperspectral measurement method and device. The method provided by the invention comprises the following steps: respectively transmitting circularly polarized white light and linearly polarized white light to a first spectrograph and a second spectrograph, constructing a first equation based on the received circularly polarized white light information, and constructing a second equation based on the received linearly polarized white light information; solving a first correction coefficient and a second correction coefficient by combining the first equation and the second equation; emitting a circular polarization white light source above the horizontal plane of the water area to be detected, receiving scattered light information of substances in the water area to be detected, and correcting the received scattered light information based on a first correction coefficient and a second correction coefficient; and searching and determining target substance attributes corresponding to the actually measured circularly polarized light spectrum curve based on the actually measured circularly polarized light spectrum curve and the circularly polarized light spectrum curve standard library. The all-day water body circular polarization hyperspectral measurement method and device provided by the invention are used for realizing all-day water body circular polarization hyperspectral accurate detection.

Apparatuses, systems, and techniques for reliable image data capture are disclosed herein. A system includes a sensor configured to receive light reflected off one or more objects in an environment. The sensor includes a first set of sensor pixels configured to detect a portion of the received light having wavelengths in the visible light spectrum. The sensor further includes a second set of sensor pixels configured to detect an additional portion of the received light having wavelengths in an infrared spectrum. The system further includes a filter component configured to reduce an intensity of the portion of the received light detected by the first set of sensor pixels while maintaining at least a minimum intensity of the additional portion of the received light detected by the second set of sensor pixels.

The invention discloses a linkage illumination control method, system and device based on multiple devices and a medium, and relates to the technical field of illumination control, and the method comprises the steps: obtaining illumination space information based on an illumination place, collecting the environment light intensity and personnel action information in an illumination space through the deployment of a sensor, and obtaining the illumination information set by a user; calculating illumination control brightness based on the ambient light intensity and illumination information set by a user, optimizing an illumination spectrum by adjusting spectral power distribution of an illumination light source, and forming an illumination control scheme based on the illumination control brightness and the illumination spectrum; and constructing a personnel action prediction model to predict the user action, generating an illumination control scheme according to the predicted user action in the illumination space position, and further optimizing the personnel action prediction model through a reinforcement learning algorithm and then applying the personnel action prediction model. According to the invention, the optimization of the lighting efficiency ratio is realized, the lighting efficiency is improved, and the flexibility and real-time performance of lighting control are effectively improved.

Apparatus and methods are described for use with a bodily emission of a subject that is disposed within a toilet bowl. One or more light sensors are configured to receive light from the toilet bowl, while the bodily emission is disposed within the toilet bowl. A computer processor detects a set of three or more spectral components that have a characteristic relationship with each other in a light spectrum of a microorganism, by analyzing the received light, and determines that there is a presence of the microorganism within the bodily emission in response thereto. Other applications are also described.

A technique for using an onboard camera capable of day and night operation on an unmanned aerial vehicle (UAV) includes: traveling along a route of the UAV at night; and acquiring an aerial image with an onboard camera. The onboard camera includes: a sensor device for receiving photons and converting the photons into photoelectrons; a processor for processing the photoelectrons into an image file; a lens positioned adjacent to the sensor device for focusing the photons on the sensor device; and a filter positioned adjacent an outer surface of the lens. The filter can permit photons in the infrared light spectrum to pass to the lens, and attenuate at least a portion of the photons in the visible light spectrum prior to reaching the lens.

The invention relates to an ultraviolet-visible-infrared tri-spectral image adaptive fusion method, which comprises the following steps: acquiring a tri-spectral image of high-voltage equipment as an original image, and preprocessing to obtain a preprocessed image; constructing a feature extraction calculation network to obtain feature vectors of the three-spectrum image; calculating the contribution weight of each image in the fusion result; and carrying out multi-scale weighted fusion on the three-spectrum image, and carrying out post-processing on the final fused image. According to the method, the information integrity and accuracy are remarkably improved, the characteristics of a target under different spectrums can be obtained, the problem that information of a single spectrum is one-sided is solved, and tiny flaws which are difficult to distinguish by naked eyes and are fuzzy in thermal imaging can be accurately positioned in industrial defect detection; the imaging of the visible light spectrum is limited in a severe environment, and the ultraviolet and infrared spectrums can still work in low-light, smog, haze and other scenes; after fusion, the system can stably acquire images in a complex environment.

A visible light communication apparatus comprising: multiple sources, at least one source being a light source configured to transmit a data signal; and a receiver comprising a polarizer, operating in a visible light spectrum, the receiver configured to receive visible light energy from the one or more sources; the polarizer configured to filter multiple noise signals and allow the data signal to pass through to the receiver. Allows more signal light than background light to reach the sensor, the polarizer improves signal to noise ratio for outdoor visible light communication.

The present invention discloses a chip defect detection system and method based on visual recognition, and relates to the technical field of chip defect detection. The present invention comprises: S10: partitioning the surface of an epitaxial wafer, and the inner area of ​​each edge closed line in the grain boundary edge image corresponds to a partition; S20: predicting the defect index of each partition; S30: predicting the resistivity uniformity of each partition; S40: screening the epitaxial wafer with defects. The present invention partitions the surface of the epitaxial wafer to ensure that the infrared light spectrum obtained by the infrared Fourier transform spectrometer can better reflect the defect conditions of each partition, and evaluates the production quality of the epitaxial wafer through multiple physical characteristics of the epitaxial wafer in combination with the resistivity uniformity of each partition, thereby further improving the system's defect detection accuracy for the epitaxial wafer.

There is disclosed a method and system for retinal stimulation and retinal signal data collection. The system comprises a housing. The housing supports one or more light sources that are configured to expose a retina of an eye of an individual to a flash of light. The housing supports a spectrometer that is configured to record a light spectrum and an intensity of the flash of light. The housing supports a camera configured to capture image data of the eye while exposed to the flash of light.

The eyepiece waveguide stack includes a first eyepiece waveguide including a first incoupling diffractive optical element and a first compound pupil dilator, and a second eyepiece waveguide including a second incoupling diffractive optical element and a second compound pupil dilator, the second incoupling diffractive optical element being laterally offset from the first incoupling diffractive optical element.

The invention provides a water body ultraviolet visible light spectrum calibration method and system, which are applied to the technical field of environmental monitoring and analysis. Respectively executing the following steps on the ultraviolet light wave band and the visible light wave band: constructing a combined spectrum matrix by combining the spectrum data of the host spectrograph and the slave spectrograph, and performing singular value decomposition on the combined spectrum matrix; optimizing the order of singular value decomposition and the number of the standard samples by using a Bayesian optimization algorithm, and determining the minimum number of standard samples; constructing a conversion matrix based on the minimum number of standard samples to carry out standardization processing on the to-be-calibrated wave band; performing baseline extraction and baseline calibration on the spectral data of the slave spectrograph; and calculating the spectral offset at the wave band junction and superposing the spectral offset to the visible light wave band. According to the method, the reduction degree of visible light wave bands and spectrum details can be remarkably improved, and the demand quantity of standard samples is remarkably reduced on the premise of ensuring the spectrum consistency.

The invention belongs to the technical field of agricultural product detection, and discloses a rapid detection device and method for the sugar degree of prunes, and the rapid detection device for the sugar degree of the prunes comprises a sugar degree instrument shell, a power supply unit, a sugar degree detection unit, a sugar degree instrument control unit, a sugar degree display unit and an optical fiber probe. The signal sending module, the signal receiving module and the power supply unit are electrically connected with the information processing module, and the optical fiber probe is connected with the signal sending and receiving module through an optical fiber. The detection method comprises the following steps: sending an optical signal to the prune by using the light source, collecting reflected light spectrum information by using the micro spectrometer, transmitting the reflected light spectrum information to the Raspberry Pi to construct a two-dimensional spectrum characteristic matrix, and inputting a prune regression model based on a least square support vector machine regression model to obtain a sugar degree detection result. According to the technical scheme provided by the invention, rapid sugar degree detection can be carried out on prunes with different sugar degrees.

The invention discloses a hyperspectral image classification method based on light spectrum hybrid adaptive band selection, which belongs to the technical field of remote sensing image processing, and comprises the following steps: based on a data cube sample set and label vectors, carrying out hierarchical random sampling in proportion, and dividing a training set and a test set; inputting the training set into a hyperspectral image classification model based on light spectrum hybrid adaptive band selection, and performing forward propagation to record an optimal weight; inputting a test set into the model, performing forward propagation by using the optimal weight, outputting a pixel-level category probability through a convolution integral category head, and determining a prediction label; the forward propagation comprises the steps of establishing learnable weight vectors for all spectral bands at the first layer of a data loader, performing band-by-band weighting on each cube sample, extracting spatial spectral features by using a light spectrum mixed structure combined with a local convolution global converter, performing cross attention band screening on high-level spatial spectral tensor, and performing data processing on the high-level spatial spectral tensor. And dynamically calculating the importance weight of the spectral band, and updating the learnable band weight vector by using the importance weight of the spectral band.

The present invention relates to the technical field of spectral regulation, and discloses an AI plant light spectrum regulation method for optimizing plant photosynthesis. Among them, the method includes: collecting original plant physiological data through an intelligent spectral sensor network and performing preprocessing to obtain a plant spectral interaction feature data set; constructing a three-dimensional spectral response mathematical model using the plant spectral interaction feature data set; using the three-dimensional spectral response mathematical model as a teacher network, and training a student network through knowledge distillation to obtain a plant spectral matching network; processing real-time plant physiological data through the plant spectral matching network, and performing plant growth stage evaluation to generate a plant growth stage identifier, personalized spectral requirement parameters, and lighting timing requirement parameters; performing a differential co-evolution algorithm to generate an LED dimming scheme. This method can perform real-time correction according to the actual spectral deviation and plant photosynthetic efficiency deviation, ensuring the accuracy and stability of spectral regulation.

A method of producing bismuth oxyhalide quantum dots without heat. The method is a one-pot method that includes synthesizing bismuth oxyhalide quantum dots at room temperature. The method results in quantum dots preferably having bismuth and halide in a molar ratio of 1:1. Further, the bismuth oxyhalide quantum dots produced demonstrate excellent photocatalytic activity in the visible light spectrum and possess improved surface characteristics.

The present invention provides novel systems and methods to determine a person's ability to perceive colors across the visual light spectrum taking into account luminance of the surrounding environment, contrast of the display being used to convey the test, or both. The present invention can be used to measure individual color vision perception at specific times or over time or in populations over time to assist with the identification of clusters of color vision deficiencies, their association with agents of both genetic and non-genetic cause and thereby improve understanding of the dynamics of color vision deficiency in individuals and across populations.

Eyewear includes a frame and a pair of lenses installed on the frame. Each of the lenses is configured to absorb at least one absorption wavelength range of light. At least a portion of at least one of the lenses is configured to change the at least one absorption wavelength range of light absorbed in response to at least one of a physiological function, a psychological function, an external environment of a user of the eyewear, and / or manual input by a user. The frame is a three-dimensional printed frame. The eyewear includes at least one battery encapsulated within the frame. The at least one battery is resistant to elevated temperatures during construction of the frame and encapsulation of the

The invention relates to the technical field of leather wastewater treatment, and provides an ultraviolet-visible spectrum-based leather wastewater ozone dosage and COD (Chemical Oxygen Demand) prediction method. The method comprises the following steps: firstly, determining the types of organic matters in a tannery wastewater sample, and determining the distribution characteristics of the organic matters in different fluorescent regions through three-dimensional fluorescence spectrum analysis, so as to discriminate the types of organic pollutants; secondly, screening key wavelengths, and determining characteristic absorption wavelengths representing different organic matters through an ultraviolet-visible light spectrum; then carrying out an ozone oxidation experiment, and synchronously measuring a COD value and an ultraviolet absorption spectrum under different ozone addition amounts; based on experimental data, a multiple linear regression and exponential regression prediction model of ozone dosage and a COD prediction model based on partial least squares regression are established. According to the invention, accurate control of ozone dosage and real-time monitoring of COD are realized, the treatment efficiency is improved, the operation cost is reduced, the adaptability to water quality fluctuation is enhanced, and the method has a wide engineering application prospect.

The invention provides a system (1000) for cultivating a pepper plant (10), wherein the system (1000) comprises a light generating device (100) and a control system (300), wherein the light generating device (100) is configured to provide device light (101) to the pepper plant (10), wherein the device light (101) comprises one or more of red light and far red light, wherein the red light comprises one or more wavelengths in the range of 600-700 nm, and wherein the far red light comprises one or more wavelengths in the range of 700-800 nm wherein the system (1000) has an operational mode wherein: the control system (300) is configured to acquire an input signal, wherein the input signal relates to a plant load-related parameter of the pepper plant (10), wherein the plant load-related parameter is selected from the group comprising a plant load, a flowering rate, a flower abortion rate, a fruit set rate, and a fruit abortion rate; the control system (300) is configured to determine a plant load based on the input signal, and wherein one or more of the following applies: (i) the control system (300) is configured to compare the plant load to a lower plant load threshold, and to select a target R:FR ratio of red light to far red light from the range of >15 if the plant load is lower than the lower plant load threshold; and (ii) the control system (300) is configured to compare the plant load to a higher plant load threshold, and to select the target R:FR ratio from the range of <15 if the plant load is higher than the higher plant load threshold; the control system (300) is configured to expose the pepper plant (10) to the target R:FR ratio by controlling the light generating device (100).

Embodiments relate to a high-efficiency, refractive metalens capable of observing celestial bodies such as the moon. The metalens comprises a plurality of nanocylinders spatially arranged on a substrate, wherein the plurality of nanocylinders provide the metalens with an aperture having a diameter of 80 mm. The metalens is fabricated with deep-ultraviolet (DUV) projection stepper lithography, which is commonly used in the semiconductor industry. Embodiments further relate to a multi-level-compensated metalens (MLCM) that can achieve achromatic focusing and imaging across the entire visible light spectrum (e.g., 400 nm to 700 nm). The MLCM includes nanocylinders made of high-refractive-index silicon nitride and a plurality of stairs made of low-dispersion silicon nitride, separated by a spacer layer.

A calibration system for multiple image sensors includes a manufacturing apparatus, a first imaging sensor, a second imaging sensor positioned at a different location than the first imaging sensor and configured to capture at least one different wavelength than the first imaging sensor, a calibration artifact, and an imaging calibration module. The imaging calibration module is configured to obtain first and second images of the calibration artifact via the first and second imaging sensors, determine first and second pixel mappings between the first and second images and a common coordinate system, according to a location of the calibration artifact in the first and second images, convert an image of a manufacturing object captured by the first imaging sensor to the common coordinate system, and convert an image of the manufacturing object captured by the second imaging sensor to the common coordinate system.

The invention provides a Raman spectrum calibration method and system based on transient stimulated Raman scattering. The Raman spectrum calibration method comprises the following steps: acquiring stimulated Raman signals in a time domain in a transient stimulated Raman scattering mode; the time delay of each sampling point of the time domain Raman signal is tracked in real time through the reference laser interference fringes, and Raman displacement after Fourier transform is determined; detecting an exciting light spectrum obtained by sampling through a photoelectric detector, and calculating excitation efficiency at different Raman displacement positions to obtain an excitation efficiency curve; the intensity of Raman spectrums at different Raman displacement positions is calibrated through the excitation efficiency curve, the self-calibrated Raman spectrums are obtained, the self-calibration transient stimulated Raman scattering technology inherits the advantages of high time resolution and high spectral resolution of the transient stimulated Raman scattering technology, the self-calibration transient stimulated Raman scattering technology is combined with a self-calibration mechanism, and the self-calibration effect of the self-calibration transient stimulated Raman scattering technology is improved. The influence of excitation light fluctuation is eliminated, the Raman spectrum measurement accuracy and repeatability are remarkably improved, and the quantitative analysis capability is comparable to that of spontaneous Raman spectrum.

A device for automated measurements of eyeball deviation and / or vertical and horizontal observation angles, comprising optomechanical system cooperating with image recording and display devices has a screen placed in an integrated housing, in front of which two symmetrically embedded optomechanical modules are mounted on the side arms said side arms are movably embedded on parallel, horizontal guideways arranged perpendicularly in relation to the side arms and driven along these guideways with a servo drive and driving elements, wherein every optomechanical module has a camera operating in the invisible light spectrum, optical tube fixing the lens system, vision switching off system, eye pupil illuminator operating in the invisible light spectrum, where the screen is placed perpendicularly to the axis of the lens system and at a distance that allows acute viewing of the screen and covering the possibly largest part of the eye's field of view.

Techniques for wound image processing are disclosed. Access to a smartphone that includes an integrated color camera is obtained. An external light source is coupled to the smartphone. The external light source emits at least one light wavelength for illuminating a material sample. The light wavelength excites a fluorescence response from the sample. The fluorescence response comprises wavelengths along the Red-Green-Blue (RGB) light spectrum. The external light source is triggered. An illumination signature of the sample is captured, by the integrated color camera, in response to the external light. An output indicative of biophysical status of the sample is generated. The output is based on analysis of the captured illumination signature. A thermal image of the sample is further captured, using an infrared sensor coupled to the external light source. The output is augmented based on an analysis of the thermal image.

The application relates to the field of spectrum measuring instruments, in particular to a circularly polarized spectrum measuring instrument capable of synchronous adjustment, which comprises an angle table installed on the surface of a base, an input box and a receiving box installed on the angle table near the center line on both sides, laser emitters and receiving plates respectively installed on one side of the input box and the receiving box, input polarizers and receiving polarizers respectively installed in the input box and the receiving box for emitting and receiving circularly polarized light, and a detection table arranged on the surface of the base and used for bearing a detected object. Laser emitters and receiving plates respectively arranged on one side of the input box and the receiving box are used for separately detecting incident and outgoing angles, the incident and outgoing angles of polarized light are simulated before sample detection, synchronous adjustment of the input polarizer and the receiving polarizer is carried out, the detection automation degree of the circularly polarized spectrum measuring instrument is further improved, and the detection efficiency is improved to a certain extent.