289 results about "Lighting spectrum" patented technology

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 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.

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.

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.

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 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.

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).

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.

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.

A control system is presented for use in depth-resolved inspection of multi-layer structures. The control system comprises a computerized system capable of processing input measured data indicative of a light spectrum obtained from the structure by camera pixels of a broadband interferometer during variation of an optical path difference (OPD). A data processor of the computerized system comprises: first processing utility for processing the input measured data and extracting complex reflectivity data of the structure; second processing utility for processing the complex reflectivity data and determining a time-domain impulse response of the structure, for each of N lateral positions corresponding to N of said camera pixels, and obtaining a 3D map of the time-domain impulse responses of the structure for at least a wavelength range of interest from the range used in the broadband interferometer; and layers' alignment data extractor for directly extracting depth-resolved information from said 3D map data.

A medication assurance system for verification of both the medication and the patient is disclosed. A portable spectrometer is used to obtain a light spectrum of the medication. A subject identification or biometric device is used to identify the patient. A controller coupled to the portable spectrometer and the subject identification device identifies the medication by performing a chemometric analysis of the light spectrum. Based on the medication identified and the patient identified, the controller can determine if the medication is to be taken by the patient.

The disclosure provides a system for cultivating a pepper plant, wherein the system comprises a light generating device and a control system, wherein the light generating device is configured to provide device light to the pepper plant, wherein the device light 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.

Described are embodiments of a multi-layer giga-pixel plenoptic camera that enable three-dimensional (3D) light-field imaging, high resolution and large field-of-view. In embodiments, the camera includes a radiation conversion array layer, an optics array layer, a complementary metal-oxide-semiconductor (CMOS) image sensor array layer, and a memory layer. Depending on the embodiment, the sequence of the radiation conversion array layer and the optics array layer may be reversed, and / or additional isolation layers may be provided between some of the layers. Applications can span the visible light spectrum, and can include ultraviolet (UV) and infrared (IR) spectra. In an embodiment, applications can span x-ray spectra and gamma ray spectra. Radiation converters in the radiation conversion array layer can be filters or scintillation converters. Optics in the optics array layer can be lenses or pinholes and / or coded apertures.

A method includes acquiring structure parameters and reflected light spectra before and after a change in a state of a substrate caused by substrate processing, calculating a structure parameter and a reflected light spectrum in a change period based on the acquired structure parameters and reflected light spectra before and after changing the state of the substrate, creating a learning model that receives a reflected light spectrum as an input and outputs a predicted value of a structure parameter, by performing machine learning using a training data set that includes the structure parameters and the reflected light spectra before and after changing the state of the substrate and the calculated structure parameter and reflected light spectrum and using the predicted value of the structure parameter to automatically adjust an operational parameter of a substrate processing.

The invention discloses an airport runway pavement black ice detection method based on multispectral imaging. The method comprises the following steps: establishing an airport runway pavement black ice detection system based on multispectral imaging; obtaining a plurality of different asphalt pavement samples and irradiance spectrograms under different wavelengths in a visible light spectrum range; calculating the irradiance average value of the ponding, dry and black ice asphalt pavement samples and the white board under each wavelength; the corresponding relative irradiance is calculated; the relative irradiance of the to-be-measured asphalt pavement is obtained; and judging the state of the to-be-detected asphalt pavement, and the like. The method has the advantages that irradiance data in different asphalt pavement states can be processed through non-contact multispectral analysis, so that classified detection of the different asphalt pavement states is achieved, the accuracy and reliability of black ice detection are remarkably improved, safety accidents caused by black ice on airport runways can be effectively prevented, and the method is suitable for popularization and application. And the method has important engineering application value.

The application belongs to the field of liquid crystal materials, and relates to a liquid crystal / polymer light-adjusting and display device capable of realizing scattering state-reflective state-transparent state transition under electric driving. The liquid crystal material comprises a bent liquid crystal molecule mixture with a twisted bent nematic phase, a nematic phase liquid crystal mixture and a chiral dopant, and the liquid crystal material can form an inclined helical arrangement under electric driving. The application provides a flexible liquid crystal / polymer composite device capable of realizing three-state transition of 'opaque state', 'wide-spectrum reflective state' and 'transparent state' under electric driving and a preparation method thereof by using an inclined helical cholesteric phase liquid crystal to replace traditional liquid crystal materials. The'reflective state' can realize dynamic regulation and control of selective reflection in a wide light spectrum range from full visible light to near infrared, and greatly expands the performance and application of a traditional liquid crystal / polymer composite device.

To provide a CMP apparatus and a polishing method that can easily improve the accuracy of measuring the thickness of a polishing layer among a plurality of layers stacked on the surface of a wafer.SOLUTION: There is provided a CMP apparatus 1 for polishing a polishing layer W1 of a wafer W comprising the polishing layer W1 and at least one underlayer W2 located below the polishing layer. The CMP apparatus comprises: a database 30 including respective model waveforms of reflected light spectra for respective thicknesses of the polishing layer corresponding to respective thicknesses of the underlayer; a detection unit 120 for determining the thickness of the polishing layer on the basis of the database and a first reflected light spectrum detected during polishing of the wafer; and an arithmetic processing unit 130 for generating the database on the basis of information on materials of the polishing layer, information on materials of the underlayer, a first thickness range of the polishing layer, a second thickness range of the underlayer, and thickness intervals of the polishing layer and the underlayer.SELECTED DRAWING: Figure 1

A bio-friendly light spectrum LED light source for work and office environments, and a manufacturing method therefor. The bio-friendly light spectrum LED light source for work and office environments comprises a plurality of LED wafers, a mount (15), and a fluorescent adhesive (16); the mount is provided with a bowl cup (14), and positive and negative electrodes (10); the plurality of LED wafers are all arranged in the bowl cup, and are connected to the positive and negative electrodes by means of gold wire bonding; the fluorescent adhesive is applied to each LED wafer; the plurality of LED wafers include a first LED wafer (11), a second LED wafer (12), and a third LED wafer (13). The color temperature of the bio-friendly light spectrum LED light source for work and office environments is 4,800-6,300K, a color temperature value point is controlled between a Duv=0.01 curve and a Duv=0.001 curve, the luminous efficacy of radiation (LER) of the light source is higher than the LER of sunlight having the same color temperature by 3% or above, the S / P ratio and M / P ratio of the light source are basically equal to the S / P ratio and M / P ratio of the sunlight having the same color temperature, and the spectrum similarity index (SSI) (480-830nm) of the light source and the sunlight having the same color temperature is greater than 95.

The invention discloses an anti-ultraviolet all-plastic sheet and a preparation method thereof. The sheet is of a multi-layer co-extrusion structure and sequentially comprises a core layer, a blocking layer, a bonding layer and a surface layer from inside to outside. Wherein the core layer contains polyolefin and a light stabilizer, the surface layer contains polyolefin and an ultraviolet absorbent, and the spectrum of the polyolefin and the spectrum of the ultraviolet absorbent are complementary within the range of 200400 nm; the barrier layer is selected from aromatic polyamide, aromatic polyester or ethylene-vinyl alcohol copolymer; the bonding layer comprises maleic anhydride grafted polyethylene. According to the invention, molding is carried out through a co-extrusion film blowing process, and the prepared sheet keeps good transparency and full-plastic recoverability, realizes effective shielding of ultraviolet rays and obstruction of gases such as oxygen and the like, and is suitable for packaging contents sensitive to light and oxygen.

This invention discloses a fully optically modulated photoelectric synaptic device, its fabrication method, and its applications. This device successfully simulates the synaptic behavior of nerve cells within the ultraviolet to visible light spectrum. Furthermore, the device exhibits positive responses to both ultraviolet and visible light, with an increase in photocurrent. However, when irradiated with ultraviolet light first and then with visible light, the visible light inhibits the photocurrent generated by the ultraviolet light, causing a rapid decrease in photocurrent.