2669 results about "Light spectrum" patented technology

A glass including silica and titania is disclosed. An average hydroxyl concentration of a plurality segments of the glass is in a range from about 20 ppm to about 450 ppm, an average titania concentration of the plurality of segments is in a range from about 6 wt. % to about 12 wt. %, and each segment of the plurality of segments has a length of about 12.7 mm, a width of about 12.7 mm, and a height of about 7.62 mm. The hydroxyl concentration of each segment is measured using a Fourier transform infrared spectroscopy in transmission, the refractive index is measured using an optical interferometer with a 633 nm operating wavelength and a resolution of 270 microns×270 microns pixel size, and the average titania concentration is determined based upon the measured refractive index.

The utility model relates to a kind of vegetable hydroponic device with LED intelligent lighting system, relate to a kind of indoor planting vegetable hydroponic device, to solve the problem that light source in existing vegetable hydroponic device is difficult to realize dynamic spectrum regulation and poor light supplement stability.The growth box, seedling box and nutrient solution tank of the new type are sequentially arranged from top to bottom;Seedling box is used to cultivate seedling;Growth box is used to hold transplanted seedling;Nutrient solution tank is used to store nutrient solution;Illumination sensor is used to obtain the illumination of seedling, preset illumination threshold in main control unit, illumination sensing signal is compared with illumination threshold, and illumination instruction is generated according to comparison result;The illumination instruction output end of main control unit is connected with the illumination instruction input end of three-dimensional light supplement LED light source;Three-dimensional light supplement LED light source emits light according to illumination instruction, and irradiates growth box.Affirmative effect is to improve the light energy utilization rate when high crown layer vegetable is planted and improve the stability of light supplement.

The utility model belongs to the field of spectral imaging, provide a kind of split type rotating structure plant spectral imaging system, including main body frame, the upper crossbeam of main body frame top fixed mounting, the middle crossbeam of main body frame middle part fixed mounting, the lower crossbeam of main body frame bottom fixed mounting, several light sources are installed on middle crossbeam, the side fixed mounting of upper crossbeam is equipped with camera fixed support, detection camera is installed on camera fixed support, the inside of main body frame bottom is equipped with sliding plate, detection object placement subassembly is fixedly installed at the middle position of sliding plate top, the side fixed mounting of sliding plate top is equipped with electric cabinet;The utility model has simple structure, manufacture easily, cheap, easy to pack, transport and carry, firm and durable, easy maintenance and other characteristics, light source and sample placement position are more flexible, applicable to various optical cameras and spectral imaging instrument, such as the surface imaging spectral camera of various wave bands, line scanning spectral imaging instrument, single-point spectral spectrometer, Raman spectrometer etc.

This invention belongs to the field of food or beverage processing technology, specifically relating to an intelligent evaluation and brewing control system for tea infusion quality based on multi-source sensor fusion. The system uses a multi-wavelength optical sensor array and distributed temperature sensors to acquire spectral absorption peak shift characteristics and temperature gradient vectors, respectively, and then concatenates them to construct a three-dimensional tensor containing time, spatial height, and wavelength dimensions. This three-dimensional tensor is input into a spatiotemporal graph convolutional network. Its spatial graph convolutional layer extracts spatial features using temperature nodes at different height levels as vertices and thermal conduction physical relationships as edges; the temporal convolutional layer extracts temporal features; and the fully connected layer outputs the predicted solute release rate and the deviation value of the target temperature gradient. The controller generates pulse-width modulation signals based on the deviation values ​​to adjust the heating plate power and the timing of the water injection valve. This invention jointly analyzes heat distribution and solute concentration changes, and corrects control commands based on the physical release state of the solute, ensuring that temperature field changes match solute diffusion.

The application discloses a formation fluid identification method, comprising the following steps: acquiring first infrared spectrum data and second infrared spectrum data of a formation section to be interpreted; performing curve fitting on the first infrared spectrum data to obtain a fitting curve, determining a first factor according to an extreme value of a first wavelength section of the fitting curve, determining a second factor according to an opening and area integral of the fitting curve, and determining a third factor according to a center of a second wavelength section of the fitting curve; calculating a standard deviation curve of a standard deviation of longitudinal absorption at all wavelengths of a same depth point according to the second infrared spectrum data, and calculating a peak tailing factor of the standard deviation curve; and determining a type of the formation section according to the first factor, the second factor, the third factor and the peak tailing factor. The application further discloses a system, a computer device and a readable storage medium.

An electronic device includes: memory; a color filter array (CFA); an image sensor operatively connected to the CFA, the image sensor being configured to capture a plurality of images respectively having a plurality of measured spectral densities in a plurality of spectral bands; and a processor operatively connected to the at least one memory and the image sensor, wherein the at least one processor is configured to: measure a plurality of crosstalk values in a plurality of pixels and in a plurality of K channels of the plurality of images (the K represents a number of pixels per a color of the CFA), estimate a plurality of spectral-crosstalk values by applying an estimation function to the plurality of crosstalk values, and control to store, in at least one of the memory, the image sensor, or the processor, the estimated plurality of spectral-crosstalk values.

This invention discloses a multi-functional optical microscopy imaging system that integrates multiple imaging techniques, including fluorescence lifetime imaging, bright-field microscopy, Raman microscopy, and one sample manipulation technique, optical tweezers, in a single microscope setup. This allows for the acquisition of structural, functional, and molecular information from the sample with simultaneous sample manipulation function. Various design approaches have been outlined for a multi-modality microscopy by segmenting the entire operational wavelength range of an objective lens into separate spectral channels, each dedicated to a specific optical technique.

This invention discloses a method for identifying waste textiles based on near-infrared spectroscopy, comprising: constructing a near-infrared spectral sequence set; denoising and smoothing, and sample expansion; training an autoencoder; using the autoencoder to extract features from the near-infrared spectral sequences to obtain reconstructed spectra; using a dual-threshold method to screen key bands in the reconstructed spectra; constructing a dataset using key bands and waste textile type labels; training a classifier using K-fold cross-validation, with K independent classifiers forming a classification model; and collecting near-infrared spectral sequences of the waste textiles to be detected to obtain the identification results. The autoencoder can filter out the most discriminative bands from the data itself while reducing dimensionality; the screening of key bands reduces redundancy in spectral data; and the classification model can more comprehensively capture the correlation between spectral data and waste textile type labels, making the classification and identification of waste textiles suitable for large-scale recycling needs.

This invention belongs to the field of starch content measurement technology and discloses a device for measuring the starch content of vegetables. It includes a near-infrared LED light source array, a miniature spectral sensor, an ARM processor, and a touch screen. It also includes a pistol-shaped housing. The near-infrared LED light source array, miniature spectral sensor, ARM processor, and touch screen are located at the front end of the pistol-shaped housing. A battery compartment is located at the rear end of the pistol-shaped housing, housing a removable rechargeable lithium battery for providing power. A disassembly compartment is located at the bottom of the pistol-shaped housing, within which a sample chamber is detachably mounted via a magnetic structure. The sample chamber contains a diffuse reflective ceramic plate for detecting tuberous vegetables. A communication module, located within the pistol-shaped housing, is also included for transmitting measurement data and synchronizing it to a mobile terminal. The communication module supports LoRa and Bluetooth dual-mode transmission. This invention uses near-infrared light of a specific wavelength to penetrate the vegetable epidermis, eliminating the need for slicing / grinding, thus achieving non-destructive testing.

This invention provides a food fraud detection device using terahertz spectroscopy that achieves a compact and stable structural configuration. [Solution] The food fraud detection device 100 using terahertz spectroscopy according to the present invention comprises a base housing 20 and an upright housing 21 attached to the base housing 20. A display unit 1 is provided in the upright housing 21, and a user input unit 2 is provided in the base housing 20. The main body of the device 100 is equipped with a wireless connection antenna 7, a voice generation unit 8, a voice input port 81, first to fourth connection ports 31, 32, 33, 34, an external sensor connection port 4, a server connection port 5, and a port 6 for opening the device. An optical sensor 10, an ultrasonic sensor 11, and a chemical sensor 12 are arranged on the base housing 20 together with corresponding control switches 13, 14, 15.

The application relates to a water quality change trend rapid prediction method based on multi-source data fusion and physical constraints, and specifically comprises the following steps: step 1: synchronously collecting data such as spectrum information, DO, COD, temperature and pH at key monitoring sites, constructing a water dynamics-water quality coupling equation, and simulating the space-time dynamic distribution of water quality parameters; step 2: outputting a water quality sensitive area through a water dynamics-water quality model, screening sensor layout points by combining information entropy evaluation and spatial clustering, realizing low-cost water quality sensor network deployment through a multi-objective optimization algorithm, and calculating a water body global water quality distribution map by adopting a spatial interpolation method; step 3: analyzing main pollution sources according to the synchronous collection of spectrum information at key monitoring sites, and adopting principal component analysis and an attention mechanism neural network; step 4: based on real-time optical characteristic value-DO data, combining a spatial topological network, a water quality gradient and a cross-region covariance to capture the spatial correlation of water quality parameters between different points, and constructing an optical characteristic value-DO-COD dynamic prediction model; combining pollution tracing and spectrum characteristic correction to correct the COD prediction value, adopting ensemble Kalman filtering to assimilate multi-source data, and improving the model accuracy.

A method of analyzing an interference peak of a sample spectrum generated using a detector of an optical spectrometer is provided. The interference peak is produced by a plurality of spectral emissions of different wavelengths. The method includes generating, based on a model of expected curve parameters of the optical spectrometer and a location of the sample peak on the detector of the optical spectrometer, interference curve parameters representing a shape of each spectral emission in the interference peak. The method further includes fitting a plurality of curves to the interference peak, each curve corresponding to one of the plurality of spectral emissions of different wavelengths that form the interference peak, wherein each curve is fitted using the interference curve parameters provided by the model of expected peak parameters. The plurality of curves are output for further analysis.

The present application relates to the field of dam inspection, especially to a kind of image processing method and system for dam inspection, the present application is by controlling unmanned aerial vehicle to fly over detection area according to predetermined trajectory, when unmanned aerial vehicle is pre-entered detection area, continuously obtain image information and carry out multidimensional analysis, based on the result of multidimensional analysis and mirror surface reflection index, calculate to obtain spectral characteristic interference representation value, set interference label for detection area, subsequent interference label based on the control of unmanned aerial vehicle in detection area adaptively obtains spectral information in monitoring area, subsequent generation perspective adjustment instruction, by sampling determination selection confidence sampling position obtains spectral information, the present application is by image information in advance sensing interference situation of spectral information extraction in detection area, adaptively select spectral information capture mode, under the premise of guaranteeing inspection efficiency, improve the quality and reliability of the obtained spectral information, provide effective data support for subsequent analysis dam potential anomaly.

Method (100) of optical spectroscopy for analyzing a sample using an optical spectrometer (10), comprising: Obtaining a sample spectrum (101) of the sample using the optical spectrometer; Obtaining a blank spectrum (102) using the optical spectrometer, wherein the blank spectrum includes structured background radiation that correlates with the sample spectrum; Determining a cross-correlation (103) of the sample spectrum and the blank spectrum; Generating a mapped blind spectrum (105) by mapping the blind spectrum onto the sample spectrum based on cross-correlation; and Subtracting the imaged blank spectrum from the sample spectrum to produce a background-corrected sample spectrum (106).

Methods and systems are disclosed that enhance the yield and speed of emission and control the spectral and angular emission of light emitted by materials under irradiation by high-energy particles through a process known as scintillation. In each case, a photonic structure (of nano- or micron-scale feature sizes) is integrated with a scintillating material, and the photonic structure enhances the yield or controls the spectrum of the material. Various embodiments of this technology and practical demonstrations are disclosed.

The invention provides a light generating system (1000) comprising a first light generating device (110), a second light generating device (120), a third light generating device (130), and a control system (3000); wherein: (A) the first light generating device (110) comprises a first solid state light source (10) configured to generate first light source light (11) and a first luminescent converter (2100); (B) the second light generating device (120) comprises a second solid state light source (20) configured to generate second light source light (21) and a second luminescent converter (2200); (C) the third light generating device (130) comprises a third solid state light source (30) configured to generate third light source light (31) and a third luminescent converter (2300); (D) the first, second, and third luminescent converter (2100, 2200, 2300) comprise a narrowband luminescent material (400); wherein the first and second luminescent converter (2100, 2200) further comprise a green-yellow luminescent material (200) and a broadband luminescent material (300); (E) the green-yellow luminescent material (200) is configured to convert the first and second light source light (11, 21) into green-yellow luminescent material light (201); (F) the broadband luminescent material (300) is configured to convert (a) the first and second light source light (11, 21) and / or (b) the green-yellow luminescent material light (201) into broadband luminescent material light (301) having a broadband centroid wavelength (λcb) of 600-670 nm; (G) the narrowband luminescent material (400) is configured to convert the first, second, and third light source light (11,21,31) into narrowband luminescent material light (401) having a narrowband centroid wavelength (λcn) of 610-650 nm; (H) the first light generating device (110) is configured to generate white first device light (111); (I) the second light generating device (120) is configured to generate white second device light (121); wherein: (i) a relative spectral power of the broadband luminescent material light (301) and / or the narrowband luminescent material light (401) in the second device light (121) differs from that in the first device light (111); (J) the third light generating device (130) is configured to generate third device light (131) having a third device centroid wavelength (λcd3) of 610-650 nm; (K) the light generating system (1000) is configured to generate system light (1001) comprising the first, second, and / or third device light (111,121,131); and (L) the control system (3000) is configured to control a spectral power distribution of the system light (1001) by individually controlling the first, second, and third light generating device (110, 120, 130).

There was a need for optical components or elements that would be useful in miniaturizing spectroscopic devices. [Solution] An optical component made of a solid material that transmits light of a wavelength to be used, characterized in that a diffraction grating consisting of a plurality of grooves extending along a second direction is provided on a first optical surface into which the light of the wavelength to be used is incident, and a plurality of lenses arranged along the second direction are provided on a second optical surface into which the light of the wavelength to be used that was incident from the first optical surface is emitted.

This invention discloses an on-board calibration method for a long-wave infrared hyperspectral imager based on an adaptive composite model. The method includes: step 1, constructing a radiometric calibration dataset; step 2, constructing a physically constrained composite calibration model; step 3, adaptive global optimization of the model order and parameters; step 4, generating the blackbody radiometric calibration equation within the half-optical path; step 5, generating the external blackbody calibration equation within the full-optical path; step 6, establishing an internal-external blackbody conversion model; and step 7, on-board calibration of the long-wave infrared hyperspectral imager. By establishing the conversion relationship between the internal and external blackbody radiance across the entire dynamic range, the method effectively compensates for systematic deviations caused by thermal radiation and transmittance attenuation of the front optical path components. This ensures that during on-orbit operation, high-precision equivalent entrance pupil radiance can be obtained by relying on the on-board internal blackbody, solving the calibration reference drift problem caused by optical path differences.

A fluorescence imaging method and apparatus based on light source intensity adjustment, and a storage medium. The method comprises: in a PDD fluorescence mode, when a blue light source is turned on, reflecting blue light by observed tissue, and then filtering, by means of a notch filter, a spectrum of a green fluorescence band generated by excitation of riboflavin; and in a photo dynamic white light imaging mode, by means of a light compensation module and on the basis of preset optical power, adjusting each of red, green and blue light emitted by red, green and blue light sources, such that the light is reflected by the observed tissue, and then the light turns into white light after passing through the notch filter, wherein the light compensation module controls the output optical power of red light and the output optical power of blue light to be consistent, and controls the output power of green light to be higher than the optical power of red or blue light. By combining the notch filter and the light compensation module, the problem that green fluorescence generated by the excitation of riboflavin during PDD fluorescence imaging affects the contrast of PDD fluorescence imaging is solved, and color reproduction of conventional white light imaging can also be ensured.

This invention discloses a portable multi-parameter water quality detection system based on an improved CT spectral structure, comprising an improved CT spectral structure, an S11639-01 CMOS image sensor, an RK3588 embedded platform, and a water quality parameter analysis module. The water sample to be tested is transmitted to form outgoing light carrying water quality characteristic information. The improved CT spectral structure collimates, disperses, converges, and corrects the image plane of the outgoing light, enabling the 200–1000 nm band line spectrum to be imaged within the effective pixel area of ​​the sensor. The sensor acquires raw spectral data and transmits it to the RK3588 for caching and processing. The system establishes a pixel-wavelength cubic polynomial mapping relationship based on the peak pixel position of the standard wavelength point, and completes intensity calibration through dark field subtraction, reference spectrum normalization, and response compensation to obtain corrected one-dimensional spectral data. This data is input into the water quality parameter analysis module, which outputs multiple detection results including COD, turbidity, SS, TN, and TP. This invention features a versatile structure and high integration, making it suitable for rapid on-site water quality detection and environmental monitoring.

An end-to-end polarization hyperspectral image classification method and system, belonging to the field of deep learning and optical imaging technology, solves the technical problems of slow reconstruction speed, limited accuracy, low information utilization, and weak feature extraction capabilities in existing technologies. The method involves capturing images of a target using a snapshot-style spatially coded hyperspectral polarization imaging system. The captured images are then encoded by the system to obtain two-dimensional aliased data. A trained reconstruction network is used to reconstruct the two-dimensional aliased data into a polarization hyperspectral data cube. The classification network is then trained based on the polarization hyperspectral data cube to obtain a trained classification network. The trained reconstruction network and the trained classification network are jointly fine-tuned to obtain a polarization hyperspectral image classification model, which is then used to classify polarization hyperspectral images. This invention achieves high-quality reconstruction and accurate classification of polarization hyperspectral images.

The present invention provides a system for analyte spectral collection and a system for testing an analyte, and the system for analyte spectral collection, which relate to the field of optical analysis. The system for analyte spectral collection includes a shell and an imaging 5 spectrum detection apparatus. The apparatus obtains a light signal in an imaging area, and includes a sensor and a periodic pixel-level light filtering structure, disposed on a surface of the sensor. The filtering structure performs spectral modulation on an incoming light signal, and the sensor generates an image containing spectral information to be tested. In this application, the periodic pixel-level light filtering structure disposed on the surface of the 10 sensor performs spectral modulation on the incoming light signal, SO that the sensor generates an image containing spectral information to be tested, helping analyte spectral collection be performed more simply. 29 20 25 20 46 55 20 J un 2 02 5 A B S T R A C T 2 0 2 5 2 0 4 6 5 5 2 0 J u n 2 0 2 5 2 9 A B S T R A C T 2 0 2 5 2 0 4 6 5 5 2 0 J u n 2 0 2 5 2 9 FIG. 1 1 / 7 202 206 205 203 200 201 204 100 FIG. 1 1 / 7 20 25 20 46 55 20 J un 2 02 5 J u n 2 0 2 5 2 0 6 2 0 2 5 2 0 4 6 5 5 2 0 2 0 0 2 0 1 I D O O S 2 0 0 0 0 2 0 4 1 0 0 J u n 2 0 2 5 2 0 6 2 0 2 5 2 0 4 6 5 5 2 0 2 0 0 2 0 1 I D O O S 2 0 0 0 0 2 0 4 1 0 0

The present invention relates to an optical or Raman micro-spectrometry apparatus (100) comprising an optical microscope objective (10) and an optical spectrometer (20). According to the invention, the micro-spectrometry apparatus comprises an astigmatic optical system (30, 31, 32) arranged outside the optical spectrometer (20, 21), between the microscope objective (10) and the optical spectrometer, the astigmatic optical system (30, 31, 32) being arranged and configured to form an astigmatic image of a light beam transmitted through the microscope objective (10) on the input slit of the optical spectrometer (20, 21), the astigmatic image being elongated by astigmatism in the height direction of the input slit, the optical spectrometer being able to spectrally disperse the astigmatic image and form a spectrally dispersed image of the field of view on the detector, the astigmatic optical system being configured to reduce an optical aberration of astigmatism of the optical spectrometer in the spectrally dispersed image.

The application discloses a hyperspectral image Transformer network training and classification method, which first divides a hyperspectral image sample based on a spectral dimension to obtain a plurality of spectral subbands, wherein the hyperspectral image sample is an unlabeled training sample; each spectral subband is input into an embedding module to obtain local space-spectrum embedding features output by each embedding module, wherein the embedding module extracts space-spectrum features of the spectral subband at multiple scales; all local space-spectrum embedding features are fused according to the positions of the spectral subbands to obtain global space-spectrum embedding features; the global space-spectrum embedding features are input into a Transformer encoder, and a center region token is masked and reconstructed in a Transformer decoder to train the Transformer encoder in a self-supervised manner. Compared with the prior art, the unlabeled sample can be effectively utilized to improve the training effect of the Transformer network, and the hyperspectral image can be classified with high precision.

A laser system for the generation of ultrashort optical pulses of light including an oscillator emitting low power and negatively chirped optical pulses with a spectral bandwidth W1, a dispersive connecting segment to maintain the sign of the chirp of the pulses of the oscillator, an optical amplifier for amplifying the optical light pulses and a negative group velocity dispersion segment for compensating phase contributions of the whole propagation process. During the propagation from the output of the oscillator to the end of the optical amplifier, the chirp of the light pulses will change once from negative to positive chirp. After a final compression stage ultrashort optical pulses can be generated.

This application belongs to the field of coal product testing and analysis technology, and particularly relates to a method, device, and computer equipment for predicting coal sample test values. The method, device, and computer equipment provided in this application, based on spectral analysis, predict coal sample test values ​​by collecting near-infrared and laser-induced breakdown spectra of the original coal sample, followed by wavelet decomposition and dimensionality reduction to generate a feature fingerprint matrix. This achieves effective fusion and dimensionality reduction of the two spectral data, preserving key spectral features of the organic and inorganic elements in the coal sample, providing fundamental data for subsequent model training. Furthermore, a genetic algorithm is used to optimize the feature weight vector of the feature fingerprint matrix to reconstruct the feature space. Abnormal samples are eliminated by comparing the ash content prediction with a preset threshold, highlighting the key spectral features for test value prediction. By eliminating interfering samples, the specificity of the feature space and the reliability of the data are improved.

This invention relates to the field of optoelectronic detection technology and discloses an online detection system for screen color uniformity based on dynamic rotating polarization spectrum. The system includes an online transmission module for carrying and driving the illuminated screen under test to move continuously along a set direction at a set speed; and a combined optical encoding module, positioned above the screen under test, comprising a static spatial-spectral phase delay mask and a continuously rotating polarization modulator arranged sequentially along the beam propagation direction. By driving the screen to continuously translate using the online transmission module, and cooperating with the continuously rotating polarization modulator and hyperspectral acquisition module to acquire dynamic spatiotemporal aliasing data, the accuracy of the spectral dimension can be guaranteed. Furthermore, by extracting high-precision chromaticity parameter matrices and multidimensional polarization distortion feature matrices from the decoupled and reconstructed optimal polarization spectral tensor solution, the system's ability to detect complex internal quality problems can be significantly enhanced.

A method and system for determining energy deposited in a scintillator detector are provided. Photons generated by an energy deposition event are detected by wavelength-resolving photodetectors, and individual photon wavelengths are recorded to form an observed spectral response. Calibrated and simulated spectral responses are generated and combined into a reference schema. An observed spectral response of an event being measured is analyzed against the schema to infer deposited energy. Timing and positional information of detected photons may also be recorded and used for auxiliary corrections. The invention is compatible with emerging wavelength-resolving photodetectors currently under development.

A photosensitive resin composition having a coloring function is provided. According to one aspect, the provided photosensitive resin composition includes an alkali-soluble resin and a photoactive compound, wherein the alkali-soluble resin and / or the photoactive compound has an absorption maximum of a wavelength of 400 to 550 nm on the basis of UV-vis spectroscopy.

The embodiment of the application provides a kind of based on integrating sphere light source's photosensitive diode multispectral calibration device and method, for by dark current measurement, photocurrent correction and wavelength response fitting, photosensitive diode array is carried out wide band multispectral calibration.The device of the application includes integrating sphere device, multi-band adjustable light source module, the photosensitive diode array to be calibrated and control and analysis unit;The inner wall of integrating sphere device is high reflectivity diffuse reflection material;Integrating sphere device further includes trap detector, and trap detector is used for real-time monitoring the reflection loss of the inner wall of integrating sphere device;Trap detector is connected with control and analysis unit communication;Multi-band adjustable light source module is accessed integrating sphere device;The photosensitive diode array to be calibrated is composed of multiple photosensitive diodes;Control and analysis unit and multi-band adjustable light source module, the photosensitive diode array to be calibrated establish communication connection.