506 results about "Lighting spectrum" patented technology

The invention belongs to the technical field of camouflage materials, and particularly relates to a natural vegetation imitating visible light-laser-infrared compatible camouflage film. Comprising a substrate, a thermal infrared dual-band camouflage and near infrared spectrum regulation and control layer and a visible light-laser-near infrared regulation and control layer which are arranged in sequence. The upper-layer natural vegetation imitating structure is mainly used for simulating spectral characteristics of natural vegetation, and meanwhile, the extremely low reflectivity at the position of 1.06 mu m near-infrared laser wavelength is achieved by controlling the thickness of a film layer; the thermal infrared camouflage structure in the middle realizes low emissivity of medium-wave infrared and long-wave infrared; the substrate provides a bearing function. The multilayer film not only can realize refined simulation of a reflection spectrum of natural vegetation in a visible light-near infrared wavelength range, but also has the functions of adjusting different visible light spectrum colors and resisting an infrared detector and a 1.06 [mu] m laser detector; and a visible light-laser-infrared multi-band compatible camouflage performance covering a wide wavelength range of 0.4-14 microns can be realized.

The invention provides a detection device for acquiring crack defects of inner and outer walls, and relates to the technical field of petrochemical small-aperture inner wall crack detection, and the detection device comprises an imaging module which is used for acquiring a to-be-detected image of a target object; the multispectral module has multiband illumination capability and is used for providing corresponding illumination spectrums for a target object in different environments; and the measurement control module is connected with the imaging module and is used for controlling the acquisition process of the imaging module. According to the invention, the problem that scratches and crack defects in the exposure area are difficult to identify is solved, and the functions of defect identification and measurement in the overexposure area are realized. According to the method, cracks which are thin and long in appearance and have a certain depth can be identified; in the identification process, interference of defects with relatively small depths such as abrasion and scratches can be eliminated, cracks and other shallow defects can be distinguished according to the depths, and the depths of the cracks can be calculated.

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 utility model discloses a high-color-gamut LED light source module and a display. The high-color-gamut LED light source module comprises at least one LED wafer and a light-emitting part, and the light-emitting part is installed in the light-emitting direction of the LED wafer. The LED wafer comprises a first quantum well layer, a second quantum well layer and a third quantum well layer; the first quantum well layer is respectively connected with the second quantum well layer and the third quantum well layer; the first quantum well layer is electroluminescent, and the second quantum well layer and the third quantum well layer are photoluminescent. In the high-color-gamut LED light source module, a first quantum well layer is electrified to emit blue light, a second quantum well layer is excited to emit green light, a third quantum well layer is excited to emit red light, and the finally emitted blue light, red light and green light form a white light spectrum; according to the high-color-gamut LED light source module, the light spectrum totally emitted by the LED wafer can excite the light-emitting part, the light-emitting spectrum of the LED wafer can be supplemented, the high-color-gamut LED light source module has a wider color gamut, a quantum film and a quantum dot diffusion plate do not need to be additionally arranged, and the overall cost is reduced.

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.

A windshield having an engine edge, a roof edge, and two side edges running between them, includes an outer pane made of glass with an outer surface and an interior-side surface and an inner pane made of glass with an outer surface and an interior-side surface, wherein the interior-side surface of the outer pane and the outer surface of the inner pane are connected to one another via a thermoplastic intermediate layer, and the windshield includes a first partial region, in which a transparent cover print including enamel is applied to the outer pane and / or inner pane, the first partial region is arranged along the engine edge and extends from the engine edge in the direction of the roof edge of the windshield, and the windshield has a transmission of at least 70% in the visible range of the light spectrum in the first partial region, at least in portions.

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.

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 invention relates to the technical field of thoracoscope lens cleaning, in particular to a thoracoscope lens cleaning device which comprises a thoracoscope used for collecting images of a surgical site in real time; the supporting tube is used for supporting the thoracoscope to enter a surgical incision; the cleaning mechanism comprises a decontamination cover, a cleaning pipe and a cleaning base and is used for cleaning the lens; the negative pressure suction mechanism comprises a smoke suction pipe, a plurality of smoke suction holes and a siphon opening; the data acquisition module is used for acquiring an incident light spectrum and a transmission light spectrum of the lens in real time; and the control mechanism is used for determining the resolution of the image so as to judge whether to start to clean the lens and the qualification of the cleaning effect of the lens, determining the distribution mode and the pollution index of pollutants based on the comparison result of the incident light spectrum and the transmitted light spectrum so as to determine the cleaning mode, and determining the cleaning parameters of the lens based on the pollution index. The cleaning efficiency of the thoracoscope lens is improved.

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.

An alpha channel is generated, typically in real time, using image data acquisition that contemporaneously captures image data representing the visible portion of the light spectrum and image data representing the invisible portion of the light spectrum. In some embodiments, the invisible portion of the light spectrum is generated by a fluorescent dye applied to an object or actor in a scene, while in other embodiments the invisible portion of the light spectrum is generated by a light source located behind the object or the actor.

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.

The LED filament lamp (1) is configured to provide lamp light emitting from a plurality of LED filaments (2, 3, 12). LED filament lamp (1) comprises a phosphor-converted green LED filament (2) and a hybrid direct-emitting red-blue LED filament (3). LED filament lamp (1) comprises at least one first LED filament (2) and at least one second LED filament (3). The first LED filament (2) comprises a plurality of first blue LEDs (91) configured to, in operation, emit first LED light being blue light. When the light emits from the blue or UV LEDs (91), the light is passing through the mixture of the greenish phosphor coating, wherein the converted light is mainly distributed in a part of the visible light spectrum as a green light. The first LED light is converted into a first converted light being only green light. The light emitted from the second LED filament (3) may be blue light or red light, or a light mixed with blue light or red light. The red-blue light emitted from the red- blue LED filament (3) stimulates the relative blue and red receptors of the eye, and the converted green light stimulates the green receptors of the eye, such that the resulting mix of converted green light, the blue and red light gives the appearance of a white light. The white light may be controllable. The LED filaments (2, 3, 12) may be controllable, such that the LED filaments (2, 3, 12) together emits white light with a variable color temperature or emits colored light.

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.

A computer assisted system is disclosed that includes an optical tracking system. The optical tracking system includes an RGB sensor and is configured to capture color images of an environment in the visible light spectrum and tracking images of fiducials in the environment in a near-infrared spectrum. The computer assisted surgical system is configured to generate a color image of the environment using the color images, identify fiducial locations using the tracking images, register pre-operative and / or intra-operative data to the color images using the fiducial locations, and generate an augmented reality (AR) image of the environment by overlaying the data over the color image. The computer assisted surgical system can further include a monitor or a head-mounted display (HMD) configured to present the AR image.

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 textile washing liquor lossless color detection method based on a visible spectrophotometric technique, which comprises the following steps: step 1, pretreatment: washing a textile in a certain manner, taking out the textile from washing liquor after the washing is finished, cooling the washing liquor to normal temperature, and then centrifuging and / or filtering; step 2, testing the transmittance: testing the transmittance of the washing liquid pretreated in the step 1 in a visible light spectrum range; 3, calculating a tristimulus value of the lotion; and step 4, converting the tristimulus value of the washing liquid into related parameters through a uniform color space chromatic aberration formula. According to the color detection method, the operation process is simple and efficient, errors caused by personnel differences, detection parameters and the like are greatly reduced, more objective detection of the washing liquid color is achieved, the detected liquid is not damaged, and the color detection method has very important value and significance for subsequent color fastness rating from the quantization angle.

The application relates to a method of testing an item with a spectrally precise, artificial solar spectrum including wavelengths from 200 nm to 20 microns and it also relates to a solar spectrum simulator capable of producing a light spectrum including wavelengths from 200 nm to 20 microns. The simulator comprises: a) amplitude optimization software; b) a spectrum controller; c) an emitter controller; d) heat lamp / heater generation sources including: a xenon / infrared (IR) lamp and a blackbody radiator; e) laser generation sources including an ultraviolet (UV) laser source, a visible laser source, a near infrared (NIR) laser source, a short wavelength (SW) laser source, a medium wavelength (MW) laser source, a long wavelength (LW) laser source, and a quantum cascade laser source (QCL); f) a beam combiner; g) a beam profiler; h) a spectrometer; and i) a surface on which can be placed an item to be tested.

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.