571results about "Polarisation-affecting properties" patented technology

The invention relates to the technical field of machine vision and optical detection, in particular to a tea color automatic evaluation method and system based on machine vision. The method comprises the following steps: constructing a stable and repeatable optical measurement environment and calculating radiation baseline parameters; performing multi-band polarization sequence imaging on the tea sample to obtain original data with spectrum and structural characteristics; separating mirror surface and diffuse reflection components on the surfaces of the tea leaves, and performing spectrum consistency correction by combining a radiation baseline; performing multiband spectrum reconstruction and normalization processing on the basis of the corrected diffuse reflection image, mapping to a CIE Lab color space, extracting pixel-level brightness, chromaticity and color distribution statistical indexes, and generating a color feature vector in combination with spatial weighting matrix optimization; a final score is calculated by constructing a quantitative evaluation and grade judgment model and integrating perception color separation, drying calibration color separation and a penalty term, and a grade result is output. According to the method, objective, accurate and automatic evaluation of the color of the tea leaves is realized.

The invention discloses a machine vision-based enzyme freeze-dried powder quality detection method, and belongs to the technical field of machine vision, and the method specifically comprises the following steps: in a closed optical cavity, synchronously collecting a multispectral polarization sequence of a sample through annular multispectral polarization illumination and microscopic imaging; performing short-time airflow pulse disturbance and continuous imaging on the sample, and constructing a polarization time sequence texture map by means of inter-frame polarization retention difference; according to Stokes parameters, calculating a deskewness graph and a specular reflection component graph, and carrying out joint normalization on the deskewness graph and the specular reflection component graph and the polarization time sequence texture graph to form a multi-channel feature stack; constructing a double-branch encoder, and performing comparative learning on the feature stack to generate an impurity prototype dictionary; using the dictionary to match the feature stack pixel by pixel, and tracking and inhibiting powder agglomeration false detection through a topological constraint connected domain; and recovering a height map by using an oblique incidence fringe phase shift method, performing pixel-level fusion with the candidate image, retaining targets with height abrupt change and consistent polarization characteristics, and outputting an impurity mask.

The invention discloses a broadband full-Stokes polarization imaging device based on non-orthogonal four-channel polarization beam splitting, which comprises a dielectric substrate, a non-orthogonal polarization beam splitting metasurface and a focal plane detection array, and is characterized in that the non-orthogonal polarization beam splitting metasurface is composed of a plurality of sub-wavelength unit structures; the sub-wavelength unit structure is a single-layer anisotropic medium nano-column array and is configured to perform intrinsic-loss-free non-orthogonal four-channel beam splitting on incident light and form four spatially separated focuses on the same focal plane, and polarization states corresponding to the four channels form a regular tetrahedron measurement base on a Poincare sphere; therefore, full Stokes parameter measurement is completed by four pixels; the sub-wavelength unit structure forms a super-pixel unit, and the super-pixel unit is aligned and integrated with a focal plane detection array in a two-dimensional array form to form a compact polarization camera facing focal plane segmentation. The device is simple in structure, easy to integrate with the CMOS front end, small in device size, low in power consumption and high in mass production feasibility.

The invention relates to the technical field of road engineering detection, in particular to a road disease recognition method and system based on electromagnetic waves and photographic imaging, and the method comprises the steps: firstly obtaining electromagnetic wave detection data and photographic imaging data of a road region, then synchronously detecting the distribution position and thickness of a road thin water film, generating a rasterized water film feature map, and finally obtaining a road disease recognition result. Then, according to the water film characteristic pattern, dynamically correcting bimodal data interference, adjusting a reflected wave amplitude value and a time domain delay parameter for electromagnetic wave detection data, compensating a gray difference and an edge gradient value for photographic imaging data by applying a local reflection suppression algorithm, and finally, fusing the corrected data and associating the state of the water film characteristic pattern to eliminate coupling misjudgment. The system comprises a data acquisition unit, a water film detection unit, a double-domain correction unit and a fusion decision unit, the problem of insufficient identification precision caused by a thin water film is solved, the road disease identification precision is improved, and a reliable basis is provided for road maintenance.

The invention relates to the technical field of spinning quality detection, and discloses a jute spinning product quality detection method and system based on an intelligent sensor. The method comprises the following steps: acquiring real-time process parameters of a jute spinning production line, and synchronously capturing yarn surface temperature field distribution in combination with an infrared thermal imager; performing space-time alignment processing on the yarn tension fluctuation data and the temperature field distribution to generate a fused dynamic process characteristic matrix; according to the tension gradient change rate and the temperature field abnormal region coordinates in the dynamic process characteristic matrix, dividing potential occurrence sections of yarn quality defects; a microstructure image of the yarn in the potential generation section is extracted, a fiber arrangement angle deviation value is measured through a polarized light interferometer, and fiber molecular bond vibration frequency data is obtained in combination with a Raman spectrometer; and inputting the fiber arrangement angle deviation value and the molecular bond vibration frequency data into a cascade quality analysis model, and outputting a quantitative index set of the internal structure defects of the yarns.

The invention belongs to the technical field of vanadium enrichment mechanisms of phosphorus vanadium ores, and discloses a research method of a vanadium enrichment mechanism in a diagenetic stage of phosphorus vanadium ores, which comprises the following steps: S1, sample collection and treatment; s2, rock ore identification and mineral composition analysis; s3, analyzing the occurrence state and microcell morphology of vanadium; s4, performing geochemical analysis on the whole rock; s5, in-situ microcell geochemical analysis is carried out; s6, phosphorus nodule analysis; s7, comprehensive analysis and mineralization model establishment; according to the method, mineralogy, total rock geochemistry, micro-area surface scanning and other multi-scale and multi-means research methods are comprehensively utilized, and the vanadium occurrence state, the ore-forming fluid evolution and the phosphorus-vanadium coupling relation are finely described; in-situ microcell geochemical analysis is introduced into phosphorus nodule analysis, the internal structure, the growth sequence and element distribution of the phosphorus nodule are directly revealed, obvious frontier and systematicness are achieved, and reliable theoretical support is provided for accurate exploration of vanadium ore resources and green and efficient dressing and smelting process research and development.

The invention discloses a coarse and fine particle inclusion photoelastic sample preparation and contact force chain network analysis method, and relates to the field of particle material mechanical tests, and the method comprises the following steps: calculating target void ratios under different coarse particle contents through a discrete element method; generating a corresponding numerical calculation sample according to the target void ratio and the preset coarse grain content, and exporting related parameters to prepare a coarse and fine grain inclusion photoelastic sample with the same initial compactness; in combination with non-polarization and polarized photoelastic images of the photoelastic sample, extracting intergranular contact force and constructing a contact force network; based on the contact force network, a strong contact force network is extracted and microscomic analysis is carried out, and force transmission characteristic comparison results under different coarse grain content conditions are obtained. According to the method, preparation efficiency of samples with different coarse grain contents and controllability of an initial state are realized, an influence rule of the coarse grain contents on a force chain structure and force transmission characteristics thereof is disclosed based on analysis of a contact force chain network, and the method is of great significance in researching a force transmission mechanism of a coarse and fine grain inclusion system and microstructure characteristics thereof.

The invention relates to the technical field of image processing, and particularly discloses a die cutting product defect detection method and system based on image recognition. According to the scheme, visible light, near-infrared and polarized light images are synchronously acquired through a multi-modal image acquisition module, after preprocessing and feature extraction, defect detection, segmentation and classification are realized by adopting a cascade deep learning network, correlation analysis is performed in combination with process parameters, and a quality judgment and process adjustment instruction is generated. According to the invention, internal and transparent defects can be effectively identified, the detection precision is improved, and data support is provided for production process optimization.

The present disclosure relates to methods and apparatus for characterising an interaction between a stimulus and a liquid thin film. An aspect of the disclosure provides a spectroscopic ellipsometry apparatus for characterising an interaction between a stimulus and a liquid thin film, the apparatus comprising: a stimulator, configured to provide a stimulus to a liquid thin film disposed on a volume of liquid to generate a wave in the liquid thin film, the liquid thin film and the volume of liquid having an interface therebetween, light beam optics for illuminating an area of the liquid thin film with a light beam, the light beam having a first polarisation, and a light collector coupled to a detector for receiving the light beam after reflection by the liquid thin film, the light beam having a second polarisation after reflection by the liquid thin film; a wave measurement module coupled to the light collector and configured to provide surface wave data to characterise a Lucassen wave in the liquid thin film based on the second polarisation.

The invention provides a polarization hyperspectral water quality monitoring system and method, and the system comprises a tower footing polarization hyperspectral imaging module which is disposed on a building beside a to-be-detected water area, and carries out the area array staring scanning of the to-be-detected water area through a polarization hyperspectral imager, so as to obtain a water body polarization hyperspectral image signal of the to-be-detected water area; the image spectral data processing module is used for deducting dark current and spurious signals from the water body polarization hyperspectral image signals, and calculating the water body spectral reflectivity of the water area to be measured according to the water body polarization hyperspectral image signals by combining a gray value and reflectivity relation model constructed by using the hyperspectral image signals of the gray scale calibration plate; and the water quality parameter spatial distribution inversion module is used for performing inversion on the to-be-detected water quality parameters of the to-be-detected water area according to a pre-constructed water quality parameter inversion model and the water body spectral reflectivity. According to the technical scheme, the integration level is high, the automation degree is high, rapid deployment can be achieved, and all-day continuous unattended monitoring can be achieved.

The invention discloses a wafer inspection system employing reflective bright field microscopy. The wafer inspection system may be fitted with polarization optical elements and mirrors to detect polarization change defects, such as microtubes, in semiconductor wafers. The polarization altering defects may be located within a bulk of the semiconductor wafer and may be imaged as bright features on a darker background. The system may also be used for conventional bright field inspection of non-polarization change defects such as contaminants and inclusions.

The application discloses a laser cavity diagnosis device and method based on double-frame delay synchronization phase shift, which comprises an excitation module and a detection module; the excitation module comprises a first laser, a first 1 / 2 wave plate, a polarization beam splitter prism, a beam splitter, an energy meter, a convex lens and a water tank; the detection module comprises a second laser, a beam expander lens group, a second 1 / 2 wave plate, a second polarization beam splitter prism, a third 1 / 2 wave plate, a first reflector, a second reflector, a fourth 1 / 2 wave plate, a third polarization beam splitter prism, a third reflector, a fourth polarization beam splitter prism, a first 1 / 4 wave plate, a first imaging lens, a first micro-polarization camera, a second 1 / 4 wave plate, a second imaging lens and a second micro-polarization camera. The application introduces a double-frame delay method in the traditional synchronous phase shift interference, overcomes the defects of the existing cavity detection technology, and realizes the observation of the instantaneous phase change in a single cavity pulsation period.

Polarization BRDF characteristic measuring device and method, belong to optical measurement technical field, the present application is to solve the existing BRDF or polarization BRDF measurement slow, low efficiency problem of measurement.The scheme of the present application: the laser light source at the second focal point emits laser light vertically through the circularly polarized light generating system and the polarizing system, the circularly polarized light generating system converts the laser light emitted by the laser light source into circularly polarized light, the polarizing system quantitatively changes the polarization state of the circularly polarized light to form the measuring incident light, the incident light is transmitted through the transmission light of the half mirror, and is reflected by the ellipsoidal mirror to the surface of the sample to be measured at the first focal point, the reflected light wave of the surface of the sample to be measured is reflected again by the inner surface of the ellipsoidal mirror, and is transmitted to the second focal point direction and is reflected by the half mirror, and the reflected light wave is converged to the third focal point of the measuring system through the polarizing system, the polarizing system is adjusted with the polarizing system, and the polarization BRDF characteristic of the sample to be measured is measured.

The invention relates to a mask defect detection system based on polarization transmission and reflection combination. The system comprises a laser; the first polarization beam splitter is used for carrying out polarization beam splitting on the laser beam to generate P polarized light and S polarized light; the transmission light path is used for performing optical processing and polarization state adjustment on the P polarized light and then projecting the P polarized light to a mask plate; the reflection light path is used for performing optical processing and polarization state adjustment on the S polarized light and then projecting the S polarized light to a mask plate; the imaging light path is used for imaging when the P polarized light is transmitted from the mask plate to obtain a transmission image, and imaging when the S polarized light is reflected from the mask plate to obtain a reflection image; and the storage and operation module is connected with the imaging light path and is used for storing and operating the transmission image and the reflection image so as to analyze whether the mask has defects or not. According to the invention, transmission and reflection dual-polarization light path imaging is adopted, and various mask plate defects can be simultaneously and effectively detected.

The invention relates to the technical field of ocean detection equipment, and particularly provides an ocean laser radar system and a seawater multi-parameter detection method. The system comprises a laser emission subsystem, an optical receiving subsystem and a signal acquisition and control subsystem. The laser emission subsystem can emit multi-wavelength pulse laser to seawater; the optical receiving subsystem adopts a double-receiving telescope structure, respectively receives scattering and fluorescence signals with different properties, and realizes multi-channel signal separation through light splitting, light filtering and polarization light splitting elements; and the signal acquisition and control subsystem realizes synchronous acquisition and processing of multi-channel data. The system can synchronously invert water optical parameters, water particulate matter depolarization ratio and color ratio, chlorophyll concentration, suspended load concentration and other multi-parameter profiles, and is suitable for marine environment unattended monitoring of a fixed platform and a mobile platform.

The invention discloses a self-reference three-phase polarization imaging system and method based on an integrated photon neural network, and the method comprises the steps: setting a fixed phase difference in a silicon-based photon chip to achieve three-phase projection and single-port reading, outputting a three-phase interference signal at the same time, obtaining all phase and polarization information in one-time imaging to achieve full-polarization measurement, and carrying out the single-port reading of the silicon-based photon chip; according to the invention, the effective resolution ratio is consistent with that of an original detection array, power and temperature drift is eliminated, single-frame acquisition has no time sequence error and motion artifact, a stable and compact single-port self-reference reading mode is realized through a three-phase interference measurement architecture constructed on a chip in combination with channel normalization and rotation correction, and complete Stokes parameters and polarization information can be measured. According to the system provided by the invention, the MZI is adopted, so that the phase bias can be flexibly adjusted, and different bandwidth requirements can be met by adjusting an interference path. The silicon-based photon platform has a broadband response characteristic and can cover a visible wave band, so that the device can keep stable interference performance in a communication wave band.

The invention discloses a non-contact polarization image measuring device and method for a large-size PBX curing process. The non-contact polarization image measuring device comprises a three-dimensional sample table, a diaphragm, a zoom lens, a micro-polarization array and a detector which are arranged along a light path direction, a sample to be tested is placed on the three-dimensional sample table, and the center of the sample to be tested coincides with the center of the three-dimensional sample table; the diaphragm realizes normalization processing of emergent light energy by regulating and controlling the intensity of reflected light on the surface of the sample; the zoom lens collects normalized emergent light to the surface of the micro-polarization array, and is adjusted and matched with the z-axis of the three-dimensional sample table to realize scanning imaging of a to-be-detected sample in the depth direction; the detector acquires a linear polarization image. According to the method, the PBX is measured through non-contact polarization, high-precision characterization analysis of the PBX curing process is completed by calculating key parameter (polarization angle and polarization degree) changes caused by curing, and the problems of pollution, large error and high danger of a sample in traditional contact measurement are solved.

The invention discloses a water quality turbidity intelligent monitoring method and system based on vision, and relates to the technical field of water environment monitoring and intelligent perception, an industrial camera and an event camera perform coaxial acquisition, and an electric control polaroid and an adjustable incident angle realize angle-polarization dual scanning and construct a polarization prior tensor. Adaptive standardization is carried out on the dazzle removal reference frame, a forward operator is established by combining polarization geometry and particle size mapping, and a latent image is obtained through physical consistency inversion of split iteration. The method comprises the following steps: extracting multi-scale features from RGB / HSV / Lab three branches and a cavity pyramid by using time domain polarization transformation and reliability selection, carrying out cross-space fusion based on particle size spectrum estimation and spatial gating, outputting a turbidity value, and synchronously giving a particle size spectrum, depolarization confidence and flicker intensity. And the internet-of-things execution subsystem performs hierarchical linkage according to threshold values and performs online self-calibration.

The invention discloses a multi-angle polarization imaging method and system for micro scratches on the surface of an aluminum plate, and the method can convert the physical difference which cannot be distinguished by naked eyes and a common camera into a significant gray difference on an image through calculating a Stokes parameter and constructing a polarization feature image, thereby forming a high-contrast detection image, and improving the detection precision. The detection sensitivity and the signal-to-noise ratio are obviously improved; the method is extremely sensitive to polarization state disturbance caused by changes of the surface microstructure of the aluminum plate, interference of a uniform background can be effectively restrained, and therefore the probability of missing detection and false detection is remarkably reduced.

The invention relates to the technical field of unmanned aerial vehicle water conservancy exploration, in particular to an unmanned aerial vehicle water conservancy exploration intelligent system and method based on multi-source data fusion, and the system comprises an image collection module which is used for collecting water surface information and outputting an original image signal through an airborne multispectral polarization imaging unit; and the image preprocessing module is used for executing geometric correction based on the original image signal so as to output a corrected image signal. According to the method, a fusion weight calculation mechanism is introduced among multiple spectral bands, and the target detection depth and the spectral signal-to-noise ratio model are combined, so that the adaptive weight fusion of the multi-source spectral data is realized, and the complementarity of information of different bands is effectively enhanced; the spectrum contrast ratio, the detail fidelity and the target prominence of the generated exploration image are obviously improved, and higher accuracy is provided for quantitative analysis and feature recognition of the water body environment.

The invention discloses a spectrum polarization detection method based on a quasi-continuous domain bound state metasurface, and belongs to the application field of micro-nano optics and spectrum polarization detection. The implementation method comprises the following steps: adopting a symmetrical broken elliptical amorphous silicon nano-column arrangement mode to obtain a metasurface structure unit with a narrow-band formant, a high-quality factor and linear polarization dependence; the method comprises the following steps: analyzing a change rule of resonance wavelength along with geometric parameters of a structural unit and a change rule of resonance intensity along with a polarization state of incident light through numerical simulation to obtain a series of metasurface structures with different resonance wavelengths and different polarization responses, reasonably arranging the metasurface structures, processing a metasurface sample, and testing a reflection spectrum of the metasurface sample, and the spectrum and polarization response characteristics are calibrated. A spectrum polarization detection system composed of a detection target, a metasurface and a CMOS detector is built, and the spectrum and polarization information of the target is detected based on the spatial position arrangement of the metasurface structure and the Stokes relation by using gray information shot by the CMOS detector.

An optical measuring device having a polarization state generator to prepare a measuring light having a defined polarization state propagating along an analysis beam path, a receiving equipment arranged downstream of the polarization state generator to receive at least a first measuring cell and a second measuring cell, a polarization state analyzer arranged downstream of the receiving equipment, a detector for detecting an intensity of the measuring light, a stationary transmitting / receiving system to communicate with at least one of the first measuring cell and the second measuring cell and an evaluation and control unit for evaluating measuring signals from the detector and / or the polarization state analyzer and / or the polarization state generator taking into account information communicated between the stationary transmitting / receiving system and at least one of the two measuring cells.

Compositions, articles, systems, and methods for sensing and / or authentication using luminescence imaging are generally provided. In some embodiments, the article is associated with an emissive material comprising an emissive species. In some embodiments, the emissive species has a radiative lifetime of at least 10 nanoseconds. A characteristic of the article may be determined by acquiring an image comprising time-dependent information related to the emissive species. In certain cases, the radiative lifetime of the emissive species may be determined from the image. Because the radiative lifetime of an emissive species may be modified by numerous factors, including, but not limited to, binding to or proximity to other molecules, temperature, pH, and radiation exposure, the measured length of the radiative lifetime may provide information regarding a characteristic of the associated article. In some cases, the emissive material comprising one or more emissive species may be used to identify and / or authenticate the associated article.

According to various embodiments, a method (150) may include determining (101) an actual state of a result of a double-sided coating process in which a first layer stack is formed on a front side of a substrate and a second layer stack is formed on a back side of the substrate based on a model implementing an association between the result and a spectral response of the result, and an indication of the actual state of the spectral response, a difference between a first sub-process of the coating process in which the first layer stack is formed and a simultaneous second sub-process of the coating process in which the second layer stack is formed; and controlling (103) the coating process based on the actual state of the result.

The invention relates to an aerosol particle scattering characteristic experimental platform and experimental method based on a Pockels effect, and belongs to the technical field of optical measurement. The experimental platform comprises an optical platform, an aerosol particle transport system, an optical path system and a data processing system, the aerosol particle conveying system comprises a combustion chamber, a dust aerosol generator, a water mist aerosol generator, a pipeline and an aerosol jet hole; the combustion chamber, the dust aerosol generator and the water mist aerosol generator are all placed outside a room where the optical platform is located, and the light path system is placed on the indoor optical platform; all parts of the data processing system are placed inside or on the top of the cabinet, and the cabinet is close to the optical platform. According to the aerosol particle scattering characteristic experiment platform based on the Pockels effect, the electro-optical modulator based on the Pockels effect and the phase-locked demodulation technology are used, the Mueller matrix measurement time can be shortened, and the measurement precision is improved.

The utility model relates to the technical field of polarimeters, in particular to an anti-shaking high-precision automatic polarimeter with a limiting function, which comprises a polarimeter main body, a detection cavity is arranged on the polarimeter main body, one side of the polarimeter main body close to the detection cavity is rotatably provided with a turning cover, and a support plate is fixedly connected in the detection cavity; clamping covers are arranged on the two sides of the supporting plate respectively, and a test tube body is arranged between the two clamping covers. The clamping covers are driven by the driving mechanism to clamp the two ends of the test tube body, the clamping covers can be attached to the outer walls of the two ends of the test tube through the arc-shaped grooves with the inner sides matched with the shape of the test tube to form wrapping type positioning, the axial displacement space of the test tube is directly limited, and the double fixing effects of axial limiting and radial restraining are achieved; the technical problems that a test tube of a high-precision automatic polarimeter can only exert clamping force on the test tube in the horizontal direction in the limiting process, the clamping tightness degree is different, the test tube is likely to move in the axial direction, and the error risk of measured data is increased are solved.

A split prism silicon-based immersion microchannel measuring device includes a microchannel structure including a support and one or more microchannels formed in the support and each having a sample detection layer with a fixed bioadhesive material for detecting a sample, a sample injection unit configured to inject a buffer solution containing the sample into the microchannel, a prism unit having a first prism and a second prism and formed by connecting a vertical surface of the first prism and a vertical surface of the second prism, a blocking part provided in a portion where the first prism and the second prism are connected to each other, the blocking part being configured to block an optical path, a polarized light generating unit configured to generate polarized light, and a polarized light detecting unit configured to detect a polarization change of reflected light.

The present disclosure provides a contact-less detection using a cross-cavity device where a small dielectric sample is placed at its center. The optical properties of the sample, such as the Kerr and Faraday rotation, or polarizability, manifest in the coupling between the cavities' electromagnetic modes and in the shift of their resonant frequencies. By calculating the dynamics of what are referred to herein as geometrical photonic states, a measuring protocol is formulated based on the quantum metric that maximizes the Fisher information and isolates the individual components of the complex dielectric function.

The invention belongs to the technical field of intelligent perception and agricultural informatization, and particularly relates to a non-contact soil humidity detection system and method based on polarization imaging. The problems that an existing traditional soil humidity detection method is poor in real-time performance and strong in dependence on illumination, and a contact type detection system and method cannot represent a real physical state in a characterization mode and cannot conduct mobile measurement are solved. The system specifically comprises an illumination control unit, a polarization imaging unit connected with the illumination control unit through a data bus, an attitude measurement unit connected with the polarization imaging unit through a data bus, and a data processing and analysis unit connected with the polarization imaging unit and the attitude measurement unit through data buses. And the display and output module is connected with the data processing and analyzing unit through a data bus.