93 results about "Spectral response" patented technology

This utility model discloses a broadband high-speed photodetector module, including: a housing and a driving circuit. The housing has an internal mounting cavity, a high-speed broadband response photodetector, and is fixed inside the housing via an SMA interface. An OLED display screen is embedded on the front of the housing and connected to the driving circuit via a flexible circuit board. The high-speed broadband response photodetector has a spectral response range of 800nm ​​to 1650nm, fully covering the wavelength requirements of multimode and single-mode optical fibers. It solves the limitations of traditional modules with single wavelength or narrow spectrum, significantly improves compatibility with different optical fiber systems, and is suitable for complex hybrid optical fiber network scenarios. Through the coordinated design of the cylindrical body on the side wall of the housing, the air outlet, and the heat dissipation components, the heat generated by the photodetector during operation can be quickly dissipated, avoiding performance degradation or device damage due to temperature rise, and ensuring long-term stable operation of the module under high-speed and high-load conditions.

The application discloses a micro-nano grating and photocathode collaborative design method. The method breaks the traditional isolated design, and considers the micro-nano grating and the photocathode as an organic whole, and takes the spectral response or integral quantum efficiency of the system as a whole as a target function. Specifically, the method comprises the following steps: establishing a system structure model and clearly defining an optimization target and process constraints; establishing a complex refractive index-wavelength correlation model of the photocathode to accurately obtain a complex refractive index distribution; determining a set of parameters to be optimized and setting initial values; calculating the system electric field distribution under the current parameters based on an electromagnetic simulation model; combining the electric field distribution and the photoelectric emission mechanism to calculate the spectral response of the system in the target waveband; and using a parameter optimization algorithm to iteratively search the parameter space, and outputting an optimal parameter combination. The application fully considers the electromagnetic and photoelectric coupling between the two and the actual process constraints, has the advantages of high design accuracy, strong pertinence, good implementability and the like, and can significantly improve the detection sensitivity of a weak light detection device.

Various imaging systems and methods for identifying and removing spots associated with infrared beams emitted by a ranging and detection system on digital images of a scene are disclosed. The imaging system generates an image of a single scene on an image sensor with a different spectral response and uses the resulting image signal to reduce or remove spots on the modified digital image. Additionally, the imaging system uses the image signal to monitor the performance of the image sensor and generates an alarm signal indicating that an image sensor malfunction has been detected.

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.

The application provides a method for obtaining a multispectral image through single exposure, an endoscope system and electronic equipment. The method comprises the following steps: obtaining an original image within a single exposure time, wherein the original image is obtained by sequentially imaging a light signal on a main light path of the endoscope system through a lens array and a continuous variable filter; dividing the original image into a plurality of sub-images corresponding to different channels in the lens array, wherein different sub-images correspond to different wave bands and different channel response coefficients; and performing normalization correction on the corresponding sub-images according to the wave bands and the channel response coefficients, so as to eliminate the response difference between different channels and obtain a sequence image of multiple wave bands. Through multiple parallel channels, a plurality of sub-images with different spectral responses are obtained within a single exposure, and the rapid acquisition of multispectral information of an endoscope is realized.

This invention relates to the field of geological hazard analysis technology, and particularly to a geological hazard early warning method based on active detection and spectral response variation. The method includes: deploying active signal excitation devices and signal receiving sensors in the monitoring area to apply active detection signals to the geological body and collect response signals; filtering and adaptive time window segmentation of the response signals to obtain stable-period spectral data; establishing a benchmark spectral model through Fourier transform and phase spectrum analysis; periodically transmitting active signals and collecting real-time responses, calculating real-time spectral characteristic parameters, and comparing them with the benchmark spectral model to obtain spectral variability; determining an early warning threshold using a decision tree model based on historical monitoring data; and calculating the geological hazard risk level and outputting early warning information when the real-time spectral variability exceeds the threshold, combined with environmental variables.

The application provides an article visual recognition method and system for a multi-pass automatic sorting platform of a vertical warehouse, and relates to the technical field of visual recognition. Before an article moves rapidly into a main recognition area, a multi-spectrum light source with different spectral components is controlled to irradiate the article in a pulse form, and a multi-spectrum response image is captured synchronously to obtain spectral response characteristics of the article surface to different spectral components. Based on the spectral response characteristics, the optical characteristics of the article surface are accurately determined. According to the determined optical characteristics, the illumination parameters of the main recognition area and the exposure parameters of a main image acquisition unit are intelligently adjusted. Image acquisition, feature extraction and identity determination are performed according to the adjusted illumination and exposure parameters, which can significantly improve the recognition accuracy and stability of the article, thereby improving the efficiency and reliability of the entire automatic sorting platform.

This invention discloses a method and system for detecting solder joints in lithium battery connectors, relating to the field of image processing technology. The method includes the following steps: acquiring a first multispectral image of the solder joint; performing channel separation and pixel alignment based on the first multispectral image to obtain a first multispectral tensor; applying a controlled transient thermal pulse excitation to the solder joint region based on the first multispectral tensor and after a preset delay interval; acquiring first and second multispectral images of the solder joint in a static state and under controlled transient thermal pulse excitation, respectively; calculating the change in multispectral reflectance channel by channel; and using a spectral response separation model containing a set of temperature-response spectral channels and a set of disturbance-sensitive spectral channels to separate the disturbance-sensitive response component caused by crack micro-opening and closing from the change in multispectral reflectance, thereby generating a disturbance response map and inputting it into a defect discrimination model to detect closed cold crack defects masked by residual compressive stress.

This invention provides a 3D printing metal material grinding device and grinding system, comprising: acquiring a sequence of hyperspectral images of metal powder particles to be ground, identifying and segmenting individual particles; extracting the pixel coordinates of the particle edge contour and the corresponding spectral response vector, and normalizing the spatial coordinates and spectral vectors respectively; constructing a first covariance matrix representing the spatial distribution of particles and a second covariance matrix representing the material distribution; performing singular value decomposition on the two matrices respectively, terminating the iteration when the relative change of the principal singular values ​​is less than a preset threshold, and obtaining singular values ​​and singular vectors; using the ratio of the two largest principal singular values ​​of the first matrix as the contour anisotropy parameter; using the sum of the singular values ​​of the second matrix plus the reciprocal of a preset constant as the material uniformity parameter; inputting the two types of metric parameters into a pre-trained control model, generating control commands and sending them to the grinding equipment actuator.

This invention provides an Ag-doped photocatalytic composite membrane, its preparation method, and its application, relating to the field of water treatment membrane technology. The Ag-doped photocatalytic composite membrane of this invention has a composite functional structure consisting of a polyester nonwoven fabric support layer, a PVDF base membrane core layer, an Ag-BaTiO3 / ZnIn2S4 piezoelectric-photocatalytic functional layer, and a polydopamine hydrophilic protective layer, arranged sequentially. By constructing an Ag-doped dual piezoelectric coupled heterojunction system, introducing the surface plasmon resonance effect of Ag ions, and combining plasma-assisted deposition technology with the composite functional structure, this invention achieves a wide spectral response (UV to near-infrared), highly efficient piezoelectric-photocatalytic synergistic degradation, robust catalyst adhesion to prevent detachment, and multiple effects of "separation-degradation-self-cleaning." This solves the problems of traditional piezoelectric-photocatalytic membranes in terms of catalytic efficiency, long-term stability, and industrial adaptability, and has good application prospects.

This invention provides a method and system for spectral inversion calculation of chirped gratings in lithium niobate thin films. The method includes: sequentially performing time-frequency domain transformation, window truncation, and time-shifting on a preset ideal target response of the grating to obtain a physically realizable target response; using the physically realizable target response as the initial complex reflection response, performing layer-by-layer recursive calculation on the grating using a layer-by-layer peeling algorithm to obtain the complex coupling coefficients corresponding to each layer of the grating, and extracting the coupling coefficient distribution and phase distribution of the grating; obtaining the structural parameters of the chirped Bragg grating based on the coupling coefficient distribution and phase distribution; constructing a physical model of the grating based on the structural parameters, and performing simulation calculations on the physical model to obtain the spectral response. This invention, based on the traditional grating design process, introduces a layer-by-layer peeling algorithm for inversion calculation of the grating structure, inversely obtaining the coupling coefficients and phase distribution of the grating, as well as the corresponding grating structural parameters, and constructing a corresponding physical model, exhibiting strong target-oriented characteristics.

The application relates to the technical field of optical detection, and discloses an intelligent spectrum adaptive detection system based on a programmable micro-mirror array, which comprises the following components: an optical path assembly; a programmable micro-mirror array; a spectrum sampling unit for collecting spectrum characteristic data of incident light in real time; a control unit for calling a target relative spectral response curve, controlling the light flux modulation degree of each wavelength corresponding region of the programmable micro-mirror array, obtaining a target spectrum intensity distribution curve, receiving an electric signal of the spectrum detection unit, obtaining an output spectrum intensity distribution curve of the system based on the electric signal, and feeding back and correcting the light flux modulation degree of the programmable micro-mirror array based on the target spectrum intensity distribution curve. The control unit modulates and feedback adjusts the light flux degree of the programmable micro-mirror array, so that the automation degree and the precision of measured optical information are improved.

A sensor system has a plurality of optical sensors configured in an array on an integrated circuit and a lens system located proximal to a top surface of the array, where the intersection of the optical axis of the lens system with the plurality of optical sensors defines a reference point for light passing through the lens system. The sensor system includes a plurality of sets of optical filters overlaying the array between the lens system and the array, with each set of optical filters being associated with a set of optical sensors of the plurality of optical sensors and a set of optical filters of the plurality of sets of optical filters includes a plurality of optical filters where each set of optical filters has a center wavelength for light transmitted through the set of optical filters. In the sensor system each optical filter of the plurality of optical filters is configured to pass light in a different wavelength range, with at least some sets of optical filters configured to provide a center wavelength that is higher than a center wavelength of a set of optical filters at the reference point. An interface is provided for receiving output signal representative of received light from the optical sensors and to output signal from the plurality of optical sensors, with the output signal being representative of received light from the plurality of optical sensors and a spectral response is determined for each set of optical sensors associated with a set of optical filters.

The application belongs to the technical field of photoelectric detectors, and discloses a preparation method of t-Se / Si and BP / t-Se / Si heterojunction photodetectors. First, a few-layer black phosphorus nanosheet dispersion liquid is prepared, then a trigonal selenium film is deposited on a silicon substrate to construct a t-Se / Si composite structure, and then black phosphorus nanosheets are spin-coated to form a BP / t-Se / Si heterojunction. Electrodes are prepared on the two structures respectively to obtain t-Se / Si and BP / t-Se / Si unit detectors with significantly different photoelectric response characteristics. The two units are arranged and integrated according to a preset pattern to form a patterned detector array. The array has wide spectral response and low dark current characteristics under zero bias, and can be used for non-contact displacement monitoring of precision instruments.

The application provides a kind of crop precision extraction method based on unmanned aerial vehicle remote sensing, and relates to the technical field of remote sensing image processing.The method constructs a remote sensing dataset by processing unmanned aerial vehicle remote sensing images.Then, the spectral response, spatial neighborhood distribution and time variation data of each pixel are extracted, and the internal representation vector is constructed by fusing the consistency relationship.Based on the internal representation vector, the self-organizing partition processing driven by consistency generates region units with internal isomorphism.For each region unit, the internal consistency statistics and external difference statistics are calculated to form a set of region structure discrimination parameters.The biological continuous coverage structure verification and agricultural utilization structure verification are sequentially performed on the region units, and finally the crop regions that meet the spatial organization characteristics of farmland are selected and output.The method realizes high-precision automatic extraction of crop regions.

The application provides a fabric color difference grade determination method based on multi-dimensional spectral analysis, and belongs to the technical field of intelligent textile detection. The method comprises the following steps: acquiring a three-dimensional spectral data cube of a sock band under an integrating sphere diffuse light source environment by using a spectral imaging acquisition system, and converting an original image into spectral reflectance data through black and white board radiation correction; identifying a joint position by using the spectral response difference between the joint and the sock band, completing automatic segmentation of the sock band image, and acquiring effective detection areas of each segment; in combination with OCR-recognized character information, eliminating surface defects by using a deep learning target detection algorithm for a single sock band; separating texture shadows and background noise by using hyperspectral unmixing, and extracting pure spectra representing the true color of the sock band; and mapping the pure spectra to a CIELAB color space to calculate color differences and determine grades. The application realizes the intelligentization and objective evaluation of the sock band determination method by using spectral imaging and intelligent recognition technology.

This invention discloses a precision detection method and system for surface defects in metal strips, relating to the interdisciplinary fields of mechanical engineering and machine vision. The method includes: synchronously acquiring multi-band images using a multispectral light source and an industrial camera array; establishing a spatiotemporal synchronization model based on encoder speed signals and performing sub-pixel-level image registration to correct motion distortion; adaptively fusing multispectral images based on a material-spectral response database to enhance the signal-to-noise ratio of micro-defects; employing a lightweight deep learning model to achieve pixel-level defect segmentation and classification; and extracting defect geometric parameters and automatically classifying them using a process tolerance library. This invention aims to solve the problems of narrow material applicability, severe image distortion under high-speed motion, low micro-defect detection rate, and complex system deployment in existing technologies. It achieves high-precision, high-speed online detection of non-ferromagnetic metal strips, significantly improving the sensitivity to micron-level defects, system robustness, and ease of deployment.

This invention provides a method, device, terminal, and storage medium for soil Munsell color discrimination based on high-resolution multispectral remote sensing. The invention acquires multispectral remote sensing images and metadata, performs radiometric calibration and atmospheric correction on the images to obtain surface reflectance; generates a quality mask including clouds, cloud shadows, shading, water bodies, and anomalous pixels, and removes unusable pixels; estimates soil purity by combining a bare soil candidate mask and gates mixed pixels; performs geometric and BRDF normalization on bare soil candidate pixels, and constructs soil state indicators from SWIR bands; establishes a mapping from reflectance to CIE tristimulus values ​​based on the sensor spectral response and converts it to CIELAB; obtains the equivalent color of dry soil by segmental compensation according to the soil state indicators; performs color difference matching with the Munsell color library and calculates the confidence level; outputs an undecidable condition and cause code when the confidence level is low, achieving stable discrimination and reliable output under complex observation conditions.

This invention belongs to the field of solar cell technology and discloses a tandem solar cell of zinc-cadmium telluride (CdTe) and perovskite. It employs a CdTe solar cell as the top cell and a narrow-bandgap perovskite solar cell as the bottom cell, improving device stability while maintaining high efficiency. By stacking two solar cells with different optical bandgapes, they exhibit different spectral responses to light absorption, fully utilizing light energy and improving photoelectric conversion efficiency. Using stable wide-bandgap CdTe as the absorber layer material of the top cell replaces the unstable wide-bandgap perovskite material, thereby improving the overall stability of the solar cell, achieving higher efficiency, and extending cell lifespan.

This invention discloses an adaptive ambient light sensing method based on a multi-source broadband photoelectric sensor, relating to the fields of broadband photoelectric detection and intelligent environmental sensing technology. The invention includes the following steps: S1: Acquiring ambient light signals through a multi-source broadband photoelectric sensor array, wherein the array includes a visible light channel sensor, an ultraviolet light channel sensor, and an infrared light channel sensor, to obtain the original light intensity-voltage sequence V. raw (t); S2: Perform non-uniformity correction and noise filtering on the original light intensity voltage sequence to obtain the corrected spectral response matrix X. This invention integrates a multi-source sensor array of UV, VIS, and NIR, combined with a spectral reconstruction algorithm, to achieve accurate sensing over a wide spectral range of 380nm-1100nm, significantly improving the accuracy of color temperature and color rendering calculations under complex light sources; employing multi-exposure fusion and bio-inspired gain control algorithms, the system's dynamic range is extended to over 140dB, and convergence can be completed within 10ms during sudden changes in illumination, eliminating the hysteresis of traditional sensors.

The application provides an image fusion method and device and a storage medium, and belongs to the technical field of image fusion.The method comprises the following steps: importing a high-resolution hyperspectral image to be fused, a high-resolution multispectral image to be fused, a plurality of original high-resolution hyperspectral images and an original high-resolution multispectral image; performing down-sampling processing on the original high-resolution hyperspectral images respectively to obtain original low-resolution hyperspectral images; and constructing a training model, wherein the training model comprises a feature analysis network, a target vector field construction network and a predicted vector field construction network.The application effectively avoids the spectral distortion problem caused by the difference in spectral response of a sensor in a traditional fusion method, and overcomes the defects of lack of constraints in the intermediate process and insufficient stability of results in a single-step regression method.

This application provides a magnetic resonance imaging method, apparatus, MRI device, and medium. The method improves a first bSSFP sequence to obtain a first sequence such that the total gradient area of ​​the first slice-selective gradient, the first slice-selective convergence gradient, and the first slice-selective complex phase gradient within each first TR in the first sequence is not equal to zero. Based on the first sequence, magnetic resonance scanning is performed on the imaging tissue of the object to be detected, and a target magnetic resonance image of the imaging tissue is reconstructed. Thus, the MRI device applies different additional phases to the imaging protons at different z-positions in the slice-selective direction for each imaging voxel, resulting in different spectral responses for the imaging protons at different z-positions in the slice-selective direction. By superimposing the spectra of multiple imaging protons within a single imaging voxel, the integral averaging of the imaging proton signals at different positions within the imaging voxel can be achieved, thereby avoiding the overall signal of a single imaging voxel being zero, and thus suppressing black band artifacts in the reconstructed magnetic resonance image.

The application provides a kind of insulator contamination hyperspectral feature extraction detection method and system, belong to power equipment detection technical field, including: to insulator sample is scanned to multiple wave bands, obtain the original hyperspectral image of preset wave band, and original hyperspectral image is corrected using black and white correction algorithm, based on the spectral response characteristics of insulator sample contamination component, according to the signal-to-noise ratio and spectral difference degree of each wave band of corrected hyperspectral image, filter out characteristic wave band data;Using first derivative transformation to pre-process characteristic wave band data;From the pre-processed characteristic wave band data, extract multi-dimensional feature parameters;Construct the fusion prediction model based on support vector machine and partial least squares regression, input multi-dimensional feature parameters into fusion prediction model, output the contamination grade and equivalent salt density value of insulator sample.The application improves the accuracy of insulator sample contamination hyperspectral detection through data quality optimization, efficient feature screening, integrated model construction and other designs.

The present application relates to a kind of automobile interior atmosphere lamp color calibration methods based on multi-channel fiber synchronous acquisition, color calibration is carried out by the measuring system of two-stage calibration, wherein two-stage calibration includes first stage: under the same geometric condition, the same region of the N fiber probes is simultaneously aligned with a uniformity standard light source, the original spectral signal of each channel is synchronously collected, the relative spectral response correction coefficient of each channel relative to reference channel is calculated based on the signal;Second stage: select a standard transfer light source measured, and using any one specified fiber probe calibrated by the first stage, under standard geometric conditions, the standard transfer light source is aligned and collected, to obtain the original signal;Combined with the known absolute spectral radiance value of the standard transfer light source and the corresponding, the absolute spectral responsivity function of the entire system is calculated.The present application can multi-channel synchronous acquisition, and greatly shorten the measurement time.

This invention relates to the field of structured light 3D measurement technology, specifically a method for correcting color phase-shifting fringe crosstalk error, comprising the following steps: Step S1: Construct a color fringe projection system. This invention corrects color crosstalk error from two dimensions: fringe intensity and phase distribution. First, the green channel is used to perform histogram specification processing on the red and blue channels to correct the fringe intensity. Then, the solved phase distribution is subjected to histogram equalization processing to correct the phase distribution. It does not require pre-calibration of the spectral response characteristics of the color fringe projection system, nor does it require training with a large-scale dataset, which greatly reduces the complexity of the correction operation. At the same time, it effectively suppresses background light intensity fluctuations, modulation depth attenuation, and phase periodic ripple errors caused by color crosstalk. It has the advantages of high speed, high accuracy, and ease of implementation, and can well meet the requirements of high-speed and high-precision 3D measurement.

The application provides a square-shaped heterostructure terahertz metamaterial sensor device and a preparation method thereof. The device comprises a heterostructure sandwich structure which is formed by constructing a multilayer structure on a silicon material. The multilayer structure is composed of a top metal square array unit, a middle dielectric layer and a bottom metal reflection layer. The sensor device controls the full width at half maximum of the plasmonic resonance peak by adjusting the thickness of the dielectric layer to achieve wide resonance enhancement. The metal square array unit adopts two structure size parameters, and the overall architecture scaling realizes the spectral response of different wave bands. When the sensor device works, the terahertz wave is vertically incident on the heterostructure sandwich structure and induces the excitation of the plasmonic mode, so that the signal of the outgoing terahertz wave received by the terahertz receiver presents the super-wideband resonance characteristic. The application can control the spin coating speed of photoresist to customize the wide-spectrum resonance characteristic of the plasmon excited by the square-shaped heterostructure terahertz metamaterial under two different structure scales.