511results about "Color measuring devices" patented technology

The invention relates to the technical field of quality detection in material manufacturing and coating processes, in particular to an intelligent color difference analysis and detection method for paint, which comprises the following steps: S1, acquiring a multispectral dynamic compensation image; s2, texture-color coupling separation is carried out; s3, carrying out adaptive chromatic aberration modeling; s4, process correlation visualization is carried out, color difference data is mapped into a scalable thermodynamic diagram, and grid density is dynamically adjusted according to detection precision; and analyzing geometric feature parameters of the abnormal region, matching a process defect mode library to generate an optimization suggestion, and superposing the optimization suggestion on the thermodynamic diagram by a visual identifier. Through real-time data acquisition, texture interference elimination, model adaptive optimization and process defect analysis, the overall detection precision and efficiency are improved, the intelligent adaptive characteristic is achieved, and different production environments and base material types can be adapted, so that the coating production process is optimized, and the consistency of the coating quality is ensured.

The invention relates to the technical field of display screen detection, and discloses a liquid crystal display screen color difference detection system and method.The system comprises a multispectral imaging module, a curved surface deformation modeling module, a coupling tensor decomposition module, a biological excitation feature extraction module, a dynamic compensation control module and a technological parameter interface module; the method comprises the following steps of synchronously collecting a multispectral image and screen deformation data, constructing and decomposing a multidimensional tensor containing geometric constraints, extracting biological excitation visual features, and generating and applying voltage compensation through model prediction control so as to dynamically correct the color difference of the flexible screen. According to the method, through multispectral and geometry synchronous perception, multidimensional tensor constraint decomposition, biological excitation and deformable convolution feature extraction, time-varying model prediction control and dynamic weight adjustment of fused manufacturing parameters, high-precision capture and personalized compensation of the dynamic chromatic aberration of the flexible screen are realized. The defects of dynamic perception, quick response and individual adaptability are overcome.

The invention provides a printing color consistency automatic calibration and management system and method, and the method comprises the steps: collecting a current environment temperature and humidity ink matching parameter density curve data dot increase compensation parameter in real time through a state detection device, and forming a current state data set; performing similarity analysis on the reference data set and the current state data set by adopting a matching degree evaluation algorithm, and judging a relationship between a matching degree numerical value and a preset threshold value; adjusting and correcting the calibration reference value and the color control parameter in the reference data set according to the offset compensation set to obtain a compensated and adjusted parameter set; on the basis of the compensated and adjusted parameter set, generating update code data by combining a current time identifier and an operator identifier, and forming new two-dimensional code information; and outputting the new two-dimensional code information to a subsequent work order carrier by adopting a code generation module, and establishing a parameter transmission tracing chain.

The invention discloses a method for dynamically monitoring the drying quality of fruits and vegetables by fusing chromatic aberration-shrinkage rate analysis. The method comprises the following steps: placing a fruit and vegetable sample on a rotatable objective table, drying according to a preset program, and carrying out multi-angle shooting by using a digital camera according to a timestamp to obtain an RGB color image; the method comprises the following steps: preprocessing by an image analysis system, converting an image into a Lab chromaticity space, calculating a chromatic aberration value delta E and a comprehensive shrinkage rate S, integrating data to generate a change curve, and constructing an appearance form model. In actual drying, real-time data and the model are compared, and early warning is carried out when the color difference value exceeds 3.5 or the shrinkage rate deviation exceeds 15% and image acquisition is abnormal. The drying equipment is provided with a high-precision electric rotary objective table, a specific annular light source array, a high-resolution camera and a standard calibration color card, and illumination and color measurement accuracy is ensured through calibration. Through multi-step operation, accurate and dynamic monitoring of fruit and vegetable drying quality is achieved, and drying process optimization is assisted.

To provide a technology that can capture the characteristics of glittering powder and reproduce them as an image with high precision and realism.SOLUTION: An image generation method comprises: a glittering agent information acquisition step for acquiring at least one of optical property information and shape information of glittering powder; a color signal calculation step for calculating a color signal of the glittering powder by applying the optical property information to a three-dimensional reflection property model, which is a mathematical model that describes a light reflection process of the glittering powder; a color value calculation step for calculating a color value of the state in which the glittering powder is applied based on the color signal; and an image generating step for generating an image of the state in which the glittering powder is applied based on the color value and the shape information.SELECTED DRAWING: Figure 1

The invention discloses a color correction method, system and device based on cooperative flight of double unmanned aerial vehicles, a medium and a product, and relates to the technical field of agricultural detection. According to the method, a double-unmanned-aerial-vehicle cooperative flight mode is adopted, one unmanned aerial vehicle (namely the first unmanned aerial vehicle) flies at a high height for aerial photographing, the other unmanned aerial vehicle (namely the second unmanned aerial vehicle) carries a color card to synchronously fly at a low height, multiple farmland images containing the color card are obtained, a color correction matrix is constructed based on the RGB value of the color card in the farmland images and the actual RGB value of the color card, and the color correction matrix is obtained. Color correction under a dynamic illumination condition is realized, the problem of color distortion in a low-altitude remote sensing imaging process of the unmanned aerial vehicle is overcome, the reusability of cross-sensor data is improved, accurate acquisition of crop colors by the unmanned aerial vehicle in a field environment is realized, and reliable data support is provided for accurate crop management.

The invention relates to the technical field of color detection, in particular to a color difference calculation optimization method and system for archaized linen viscose reactive dyeing. Comprising the following steps: monitoring a fabric motion state in real time, calculating a motion speed and displacement, and determining a spectrum acquisition opportunity and a position compensation parameter; illuminating the surface of the to-be-detected fabric at an acquisition position through a polarized light source, and performing polarized spectrum data acquisition in the normal direction of the surface of the fabric to obtain reflection spectrum information; exciting the surface of the to-be-detected fabric by adopting an ultraviolet light source, collecting fluorescence spectrum data, and identifying different fiber areas; calculating fiber density distribution in the fiber area, and constructing a layered weight system; calculating chromatic aberration of the fiber area based on the reflection spectrum information, extracting chromatic aberration characteristics, and measuring and calculating an antique degree quantification result; setting a color difference threshold value standard according to an antique degree quantification result, and adjusting a color difference threshold value according to an evolution trend; and based on the layered weight system and the chromatic aberration threshold, performing weighted calculation on the chromatic aberration value of the fiber region to obtain a comprehensive chromatic aberration evaluation result.

An image forming apparatus includes an image former that prints a color chart on a sheet, an in-line colorimeter that performs color measurement of color patches formed on the color chart, and an image processor that performs color adjustment based on colorimetric values of the color patches formed on the color chart. The image processor combines multiple divided colorimetric data obtained by performing color measurement of color patterns into which a chart is divided, the chart in which color patches are arrayed to be common to the color chart, and obtains colorimetric values of the color patches formed on the color chart from the multiple divided colorimetric data combined.

The present application discloses a feed additive and preparation method for promoting intestinal health of livestock and poultry, which comprises the following steps: S1, adding water to montmorillonite and sodium chloride, stirring evenly to form a suspension slurry with a concentration of 10% to 20%, sodiumizing at room temperature, and re-forming the slurry with water to a concentration of 15% to 40%; S2, slowly adding cetylpyridinium chloride to the slurry of step S1 under stirring, and continuously stirring at room temperature for a certain time; S3, slowly adding carvacrol to the slurry of step S2 under stirring, and continuously stirring at room temperature for a certain time; S4, dehydrating the reaction solution of step S3, and drying the obtained filter cake; the dried filter cake needs to be inspected to see if it is completely dried; S5, crushing to obtain a feed additive for promoting intestinal health of livestock and poultry. Adding 0.1% of the feed additive for promoting intestinal health of livestock and poultry to the diet of laying hens can increase the egg production rate of laying hens by 1.5 percentage points, effectively control spotted eggs, and increase the qualified egg rate by 2 percentage points.

Provided are an optical measurement device, an optical measurement system, and a gamma adjustment method in which a measurement time is shortened.　The optical measurement device measures a light emission characteristic of a specimen, and comprises: a light emission condition acquisition unit that acquires a light emission condition of the specimen from the outside in advance; and a measurement condition setting unit that sets a measurement condition on the basis of the acquired light emission condition.

The invention discloses color difference detection equipment and process for production of high-wear-resistance regenerated polyester dyed cloth, and relates to the technical field of color difference detection equipment. Comprising a rack main body, a control main body is arranged at the front end of the rack main body, the rack main body is provided with a mounting mechanism for color difference detection for high-wear-resistance regenerated polyester dyed cloth production, and the mounting mechanism comprises a detection assembly and a control assembly, according to the invention, a red, green and blue three-primary-color narrow-band optical filter is adopted, and a second bevel gear and a worm connected with the second bevel gear are driven to rotate through meshing; the worm is meshed with a worm gear on the outer wall of the vertical shaft to drive the vertical shaft to rotate, and then the connecting rod drives the three sets of mounting frames to rotate synchronously, so that optical filter switching is achieved, the cloth cover chromatic aberration performance in different illumination environments can be simulated, the detection result is more accurate and comprehensive, the detection error caused by single illumination is reduced, and the detection efficiency is improved. And the comprehensiveness and the accuracy of chromatic aberration detection are improved.

An intraoral scanner comprises a first light source configured to generate first light that is monochromatic, a second light source configured to generate second light that is multichromatic, a third light source configured to generate third light. The intraoral scanner further comprises a mirror configured to direct at least the first light and the second light onto teeth of a patient, and to redirect first returning light, second returning light, and third returning light returning from the teeth to one or more sensors, wherein first returning light is associated with the first light, the second returning light is associated with the second light, and the third returning light is associated with the third light. The scanner further comprises the one or more sensors configured to perform hyperspectral imaging of the teeth based on at least one of the first returning light, the second returning light, or the third returning light.

The invention provides a lens optical fiber array coupling system and a chromaticity measurement system and method, and belongs to the field of chromaticity measurement, and the lens optical fiber array coupling system comprises an imaging lens which is used for obtaining incident light of an object to be measured and guiding the incident light to an array optical fiber; the end face of the array optical fiber is located on the first image plane of the imaging lens, the normal of at least part of the optical fiber end face in the array optical fiber has a deflection angle relative to the normal of the first image plane, and the deflection angle is angle deflection performed by taking the main light ray of the light received by the corresponding optical fiber position as a target reference; and the imaging spectrometer is used for receiving the light information sent by the array optical fiber. By setting the deflection angle of the array optical fiber, the effective receiving area of the optical fiber is maximized, and the change of the transmission efficiency of light of different wavebands is avoided.

The invention relates to the technical field of color difference correction, in particular to a method for correcting a color measurement result of a colorimeter, which comprises the following steps of: acquiring a sample Lab value, calculating a coordinate index correction matrix, acquiring an original coefficient, inputting segmented regression, extracting characteristics, calculating deviation weighting, and acquiring a regional offset; the method comprises the following steps: acquiring a neighborhood compensation channel offset, calling an offset to adaptively correct the neighborhood compensation channel offset to obtain a boundary front value, performing boundary verification limiting amplitude callback processing to obtain an output result, and updating a knowledge base to accumulate deviation incremental counting to optimize the color measurement precision, in the invention, through regionalization analysis and a piecewise linear regression model, the accuracy and flexibility of color difference correction are improved, and the color measurement accuracy is improved. Through the weighting processing and neighborhood compensation technology, correction inaccuracy caused by large errors is effectively reduced, it is ensured that the corrected measurement value does not exceed a reasonable range, an unstable correction result of a traditional method is avoided, adaptability is high, fault tolerance is high, measurement consistency and reliability of the colorimeter are improved, and the method is suitable for popularization and application. The method has obvious advantages especially in a complex chromatic aberration correction scene.

A spectral sensing device and associated methods for enhanced diagnostic capabilities across medical fields are disclosed. The device incorporates multispectral, hyperspectral, and photoplethysmography technologies to analyze biological features including tongue, oral cavity, saliva, teeth, and other tissues. The system transforms any standard RGB camera into a multispectral imaging device by training machine learning models to associate RGB values with spectral values inside and outside the visible spectrum using measurements from a single pixel detector spectroradiometer. A multimodal neural network with separate processing branches analyzes spectral images, non-spectral images, and tabular data to predict microbiome composition. The system generates health risk assessments by comparing predicted microbial abundances to thresholds associated with various medical conditions. Near-infrared sensing enables blood flow monitoring, subcutaneous imaging, and assessment of physiological parameters. Convolutional neural networks enable spectral reconstruction without requiring the physical device, while supporting continuous monitoring in various form factors.

A computer-implemented method suitable for evaluating a progressive spectacle lens and a corresponding computer are provided. Measurement data indicative of at least one of color or transmittance along a plurality of measurement points across at least one line of a spectacle lens is received. The method further includes calculating scalar values representing differences between measurement data of adjacent or overlapping sets of measurement points of the plurality of measurement points. The spectacle lenses are then evaluated based on the scalar values.

The invention provides a chromaticity attribute evaluation method and device, computer equipment, a storage medium and a product, and the method comprises the steps: calculating a first chromatic aberration delta E1 of a chromatic aberration-free group under a lighting source, the chromatic aberration-free group being a combination of a standard sample and a chromatic aberration-free product; calculating a second chromatic aberration delta E2 of a to-be-evaluated group under the illumination light source, wherein the to-be-evaluated group is a combination of the standard sample and the to-be-evaluated product; acquiring a false alarm probability that the group without chromatic aberration is judged to have chromatic aberration and a hit probability that the group to be evaluated is judged to have chromatic aberration; inputting the false alarm probability and the hit probability into a quantitative model of the color difference resolution threshold to obtain the color difference resolution threshold of the to-be-evaluated product; inputting the false alarm probability and the hit probability into a quantitative model of the color difference judgment tendency to obtain a judgment tendency estimated value of the to-be-evaluated product; and obtaining a chromaticity attribute evaluation result of the to-be-evaluated product based on the color difference resolution threshold and the judgment tendency estimator value. According to the method, the color difference resolution threshold can be quantified, a general evaluation standard suitable for completing color judgment on different to-be-detected objects such as structural parts, printed matters and textiles is established, the reliability of the color difference resolution threshold is improved, and control over the quality of the to-be-detected objects is facilitated.

The invention discloses a colorimeter stimulus value calibration method, system and device and a readable storage medium. The colorimeter stimulus value calibration method, system and device are used for improving the color measurement accuracy of a colorimeter. The method comprises the following steps: establishing a standard stimulation value database; establishing a to-be-calibrated colorimeter database; dividing the to-be-calibrated colorimeter database into a plurality of hexahedrons in a space coordinate system; obtaining a test tristimulus value of the test color through the to-be-calibrated colorimeter; obtaining a target hexahedron to which the test tristimulus value belongs from the plurality of hexahedrons; calculating relative deviation stimulus values of the test tristimulus values in all axial directions of the space coordinate system based on the target hexahedron; obtaining a corresponding standard stimulation value from a standard stimulation value database according to each end point of the target hexahedron; performing preliminary calibration on the relative deviation stimulation value by using a trilinear interpolation method and a standard stimulation value to obtain an intermediate stimulation value; and performing brightness calibration on the intermediate stimulation value to obtain a target stimulation value.

To provide a multispectral sensor array.SOLUTION: A combination of a ranging sensor channel (e.g., a LIDAR sensor channel) and an ambient-light sensor channel tuned to detect ambient light having a channel-specific characteristic (e.g., color). The sensor channels can be arranged and spaced to provide a multispectral image of the field of view in which multispectral images from different sensors are essentially aligned with one another to define an array of multispectral image pixels. Various optical elements may be provided to facilitate the imaging operation. A light ranging / imaging system incorporating a multispectral sensor array can be operated in a rotational mode and / or a static mode.SELECTED DRAWING: Figure 2

The invention relates to the technical field of multi-spectral colorimeter inter-table difference reduction, and discloses a method and device for reducing multi-spectral colorimeter inter-table difference, electronic equipment and a medium, and the method comprises the steps: measuring a set number of color cards to obtain measurement matrixes of different colorimeters, and then selecting one colorimeter from the preset colorimeter group as a standard colorimeter, taking the rest colorimeters as to-be-calibrated colorimeters, and establishing a conversion relation between the standard measurement matrix and the to-be-calibrated matrix. The method has the beneficial effects that the consistency between the to-be-calibrated colorimeter and the standard colorimeter is greatly improved, the calibration procedure is simplified, the reliability and consistency of the calibrated colorimeter in practical application are also improved, the applicability of the multispectral sensor in the corresponding color measurement field is enhanced, and the method is suitable for popularization and application. The cost performance and application universality of the multispectral colorimeter are remarkably improved, and a more stable and accurate color measurement solution is provided for various industries.

The present disclosure relates to an automatic two-component resin inspection device for automatically determining in real time whether a two-component resin injected into a battery module is normal, an automatic two-component resin inspection system including the same, and an automatic two-component resin inspection method. An automatic two-component resin inspection device according to an embodiment of the present technology includes a housing with an open lower part, a lighting unit configured to emit light toward the open lower part of the housing, a camera unit configured to obtain a resin image by photographing a two-component resin injected into a battery module under the open lower part of the housing, and a determiner configured to determine whether the two-component resin injected into the battery module is normal on the basis of color information of the resin image obtained by the camera unit.

The system according to the embodiment aims to provide a simple and easy way to perform a personal color diagnosis. [Solution] A system according to an embodiment includes a photographing unit, an analysis unit, and a providing unit. The photographing unit automatically starts photographing when a user enters a Box. The analysis unit analyzes the image photographed by the photographing unit and diagnoses the user's personal color. The providing unit provides the user with the results of the diagnosis by the analysis unit.

The invention discloses textile color detection equipment which comprises a base, two sets of supporting rods are symmetrically and fixedly arranged on the base, side plates are fixedly arranged on the two sets of supporting rods, two rotating rollers are rotationally arranged between the two side plates, and the two rotating rollers are symmetrically and rotationally arranged at the two ends of the two side plates through shaft rods. The two rotating rollers are sleeved with a conveying belt, a plurality of sets of clamping plates are evenly arranged on the conveying belt, each set of clamping plates comprises two clamping plates symmetrically arranged on the two sides of the conveying belt, each locking bolt is rotationally arranged on the conveying belt, and each clamping plate is provided with a threaded through hole corresponding to the corresponding locking bolt. And a detection chamber is fixedly arranged on the two side plates. The textile can be smoothed before being detected, the situation that the color detection accuracy is affected by shadow generated when the textile is folded is avoided, the detection lens can be quickly wiped when needed, and the color detection quality is guaranteed.

The invention provides a novel back contact photovoltaic cell film color sorting method, and relates to the technical field of back contact photovoltaic cell film color sorting.The novel back contact photovoltaic cell film color sorting method comprises a test table top, a back contact photovoltaic cell is arranged on the upper surface of the test table top, and a first test positioning device is arranged at the upper left corner of the test table top; the upper right corner of the test table board is provided with a second test point, the lower left corner of the test table board is provided with a third test point, the lower right corner of the test table board is provided with a fourth test point, and the center of the test table board is provided with a fifth test point. According to the method, the lightness value (L), the red-green chroma value (a) and the yellow-green chroma value (b) of the battery piece are tested by the spectrum luminosity tester through the Lab color model and are compared with the film color standard value to calculate the color difference value, whether the battery piece has color difference or not can be accurately determined through the HSV color model and the lab color model, operation is easy, production line application is convenient, the situation that color difference pieces are mixed into bulk goods can be eradicated, and the production efficiency is improved. And the product quality is improved.

It suppresses false detections caused by foreign objects. [Solution] This is a liquid state sensor (1) that is installed in the middle of a pipe. It comprises a connection section (31, 32) having a main flow path (20) that relays the flow path of the pipe, a branch section (33a~33c, 34, 11) having a bypass flow path (21) branched off from the main flow path 20, and a detection unit (13) that detects the color of light transmitted through the liquid flowing through the bypass flow path (21). The flow path cross-section of the bypass flow path (21) is formed to be smaller than the flow path cross-section of the main flow path (20), and the detection unit (13) is installed on the side of the bypass flow path (21).

A computer implemented method of determining a property of an unknown tobacco sample (26) comprising using hyperspectral imaging in combination with a machine-learning-based prediction framework. The method comprises: creating a first, reference spectral fingerprint dataset by scanning a plurality of known tobacco samples (26) using hyperspectral imaging techniques, generating hyperspectral images of each of said known tobacco samples and forming a reference spectral fingerprint, and storing each of said reference spectral fingerprints into said first, reference spectral fingerprint dataset. The method also comprises providing a second, known property, dataset, comprising known properties / compositions of said known tobacco sample, and inputting said first, reference spectral fingerprint dataset and said second, known property, dataset into said machine learning-based prediction framework. The method further comprises via said machine learning- based prediction framework, correlating said first, spectral fingerprint dataset with said known property or properties of said second, known property, dataset; said machine-learning based prediction framework generating a prediction model that is configured to determine one or more mathematical functions based on said first reference spectral fingerprint dataset, and said second, known property dataset. The method further comprises generating (100) hyperspectral images of said unknown tobacco sample (26), and based on said hyperspectral images of said unknown tobacco sample, generating a spectral fingerprint of said unknown tobacco sample. The method also comprises inputting said spectral fingerprint of said unknown tobacco sample into said machine learning-based prediction framework, and said machine-learning-based prediction framework applying said one or more mathematical functions to obtain and output said determined property of said unknown tobacco sample (26).

To provide a display light measuring apparatus, a measuring method, and a program capable of suppressing errors caused by residual charges of an integration capacitor in an integration circuit.SOLUTION: A display light measuring apparatus includes: optical sensors 41 to 43; integration circuits 51 to 53 each having an integration capacitor, the integration circuits being configured to accumulate charges output from the optical sensors; light quantity limiting means 90 for limiting a quantity of incident light to the optical sensors; trigger detection means 93 for detecting a trigger signal serving as a trigger for operating the light quantity limiting means 90 to limit the light quantity; reception means 7 for receiving a command to perform a measurement operation; and control means 7 for operating the light quantity limiting means 90 to limit the light quantity on the basis of the detection of the trigger signal and releasing the light quantity limitation by the light quantity limiting means 90 on the basis of the received command for the measurement operation.SELECTED DRAWING: Figure 3

The present application relates to the technical field of assembly detection, and particularly relates to an assembly detection method for preventing brake pedal and accelerator pedal gap reduction, which comprises the following steps: firstly, multi-dimensional independent detection and qualification of the inner liner and the bushing are carried out, and a unique assembly matching code is given to the qualified parts; secondly, the central server intelligently selects candidate parts from the qualified part queue according to the assembly task, and carries out feature compatibility verification, and dynamically binds the part code and the task code after verification; finally, multi-scan code verification is carried out at the assembly station to ensure that assembly can only be carried out when the part code and the task code are correctly bound. The present application effectively prevents part mismatching and missing, fundamentally guarantees the assembly quality of the pedal assembly, and eliminates the risk of misfooting caused by abnormal gap.