30results about How to "Remove distortion" patented technology

The application provides a big data-based intelligent manufacturing supply chain management system and method. A cloud big data engine is used to jointly model supplier capacity, logistics timeliness and historical abnormal events based on multi-source data flow of a manufacturing supply chain, and generate a risk probability matrix of material shortage in multiple supply chain nodes. When the risk probability of material shortage of a supply chain node exceeds a material shortage threshold, a risk decision is made on the risk probability matrix and the work-in-process cache amount as a joint state space, with the goal of minimizing total interruption cost and maximizing delivery rate, and a material shortage scheduling scheme of the manufacturing supply chain is output. The material shortage scheduling scheme is distributed to corresponding suppliers and logistics parties through a blockchain smart contract, and order splitting and payment binding are automatically executed to complete the material shortage scheduling of the supply chain. Based on the above scheme, multi-objective autonomous scheduling of material shortage risk of the manufacturing supply chain can be realized, thereby improving the anti-disturbance capability of the manufacturing supply chain under interruption environment.

The invention discloses a tension testing device for cable detection, and relates to the field of tension testing devices, the tension testing device comprises a testing rack, the testing rack is movably provided with a testing pull-up seat, and the testing pull-up seat is provided with a pull-up clamp; the device further comprises a cable position detection device, and the cable position detection device is installed on the test rack. It needs to be explained that in the embodiment of the invention, sudden stop is triggered through mechanical swing of the cable holder, the skew fault can be identified in the initial stage, the tension coaxiality deviation caused by skew cable clamping and deformation and sinking of the pull-up seat is avoided, and the major safety accident of cable collapse is effectively avoided; according to the cable tension test device, the test data distortion caused by such factors is eliminated, the accuracy and repeatability of a cable tension test result are ensured, meanwhile, through reverse mechanical triggering, real-time detection and sudden stop of tiny deformation and sinking of the pull-up seat are realized, and hidden safety hazards are eliminated in advance.

The invention belongs to the technical field of optical detection and color measurement, and particularly relates to a chromatic aberration measurement method and system based on hyperspectral global scanning imaging and a storage medium. Comprising the following steps: acquiring a hyperspectral scanning result of a to-be-detected chromatic aberration sample including a hyperspectral scanning sub-image; splicing the to-be-spliced hyperspectral scanning images to obtain a global hyperspectral scanning result of the to-be-detected chromatic aberration sample; the hyperspectral scanning image to be spliced is a hyperspectral scanning sub-image or an intermediate image formed by splicing; the splicing method comprises the following steps: carrying out feature point detection on a to-be-spliced hyperspectral scanning image to obtain a feature point descriptor set of the to-be-spliced hyperspectral scanning image, matching the feature point descriptor set of the to-be-spliced hyperspectral scanning image, and carrying out two-dimensional rigid body coordinate transformation based on a matching result to obtain the to-be-spliced hyperspectral scanning image. The hyperspectral scanning images to be spliced are spliced; and performing chromatic aberration calculation on the global spectrum scanning image of the chromatic aberration sample to be detected and the standard sample to obtain a chromatic aberration calculation result.

The utility model relates to the technical field of gas extraction, specifically relates to a directional drilling field gas extraction pipeline optimization system, mainly solves the online measurement device measurement error of existing directional drilling field gas extraction pipeline is bigger and the technical problem of data distortion. The system includes extraction pipeline, adapter tee, measuring pipeline, online measurement device, connecting pipeline and negative pressure branch pipe, through the position of adapter tee changes to with the drill site chamber to form the installation area, then sets up measuring pipeline to install online measurement device in the installation area, since the installation area is located in the roadway, and the space is sufficient, so can satisfy 'front 7 back 4 times pipe diameter' straight section installation condition, thereby can reduce the measurement error of online measurement device, simultaneously, can eliminate the measurement data distortion caused by airflow interference to the downstream of online measurement device.

This invention relates to the field of electronic nautical chart system technology and discloses an electronic nautical chart mapping and printing method based on the QT framework, which solves the problems of low data retrieval efficiency, display distortion, poor format adaptability and insufficient interactivity in the prior art. It includes the following steps: (1) Dynamic data filtering based on Rtree spatial indexing technology, quickly locating geographic elements of the target area through full-map printing or box-selection printing modes, and dynamically calculating the scale and coordinate parameters; (2) Intelligent drawing of nautical chart elements using SVG vector format, integrating latitude and longitude scales, north arrow, legend, scale, and nautical chart image drawing, and dynamically configuring production information, element visibility, and font style through QT controls; (3) Interactive preview supports adaptive scaling, multi-mode display settings, and cross-format output, and can generate high-precision vector PDF printables or pixel PDF schematic diagrams. This invention can be applied to the printing module of an electronic nautical chart system based on the QT framework.

This application provides a pupil recognition method, system, medium, product, and terminal based on center localization. It performs a horizontal gradient transformation operation on distortion-corrected human eye image data to generate eye gradient amplitude image data. Through gradient transformation, it extracts edge features of the pupil and iris regions, effectively separating the pupil edge from complex eye structures such as eyelid occlusion, eyelash projection, and iris pigment spots / crypts, avoiding misidentification of these interferences as pupil edges and improving the accuracy of pupil edge feature recognition. Combining the distortion-corrected human eye image data and eye gradient amplitude image data, it performs a pupil template matching operation based on the Hough circle detection algorithm. By leveraging the edge features of the gradient amplitude image, it enhances the matching accuracy between the pupil edge and the template, effectively ensuring the continuity and integrity of pupil contour recognition, further improving the reliability and accuracy of pupil measurement results.

The application provides an instrument identification method, computer equipment, a storage medium and a computer program product. The method first crops the instrument region in the inspection image, removes background interference, and obtains an image highlighting the instrument. Then, the cropped image is input into an end-to-end correction model to directly generate a front view image through a single forward propagation, avoiding error accumulation of traditional multi-stage methods and improving the robustness of the correction from the architecture. In the model training stage, the reading result of the front view image output by the correction model is taken as a supervision signal by a multi-modal large language model, which on the one hand distills the geometric and semantic understanding ability of the large model to the lightweight model, and on the other hand makes the correction model directly optimize the reading accuracy instead of only focusing on image similarity. This training strategy significantly improves the performance of the model under complex working conditions such as inclination, occlusion and dramatic changes in illumination. Finally, based on the corrected front view image, the reading recognition is performed, which greatly improves the accuracy and stability of the instrument reading.

This invention relates to the field of performance evolution analysis technology, specifically to a method and system for analyzing the performance evolution of wire harness connections. The method includes the following steps: acquiring various operational data corresponding to wire harness connection nodes and generating a multi-dimensional time-series dataset based on the data acquisition time sequence; performing time-series calibration on the multi-dimensional time-series dataset and simultaneously constructing a wire harness connection parameter correlation matrix; generating a set of wire harness performance correlation coefficients based on the wire harness connection parameter correlation matrix; establishing a wire harness connection performance evolution model based on the set of wire harness performance correlation coefficients, iteratively training the wire harness connection performance evolution model using historical performance data, and generating model training parameters; predicting the evolution trend of the standardized time-series dataset based on the model training parameters, and generating a wire harness performance evolution trend curve; and performing evolution anomaly assessment and analysis based on the wire harness performance evolution trend curve, generating early warning information for wire harness connection performance anomalies. This invention can comprehensively improve the efficiency of wire harness connection status monitoring.

The invention relates to the field of large-view scenes, and provides a nonlinear optical large-view imaging system which comprises a light source system, a laser scanning system and a laser detection system. The light source system is used for emitting laser; the laser scanning system comprises a focusing lens and a galvanometer, the galvanometer is located between the focusing lens and the tested sample, the focusing lens is used for focusing laser to the tested sample, and the galvanometer vibrates according to a preset scanning angle to achieve scanning of a laser focus on the tested sample; the laser detection system comprises a compound eye type collection structure and a detector, the compound eye type collection structure comprises a plurality of closely arranged single lenses, and an optical signal generated by a detected sample enters the compound eye type collection structure; the detector is used for detecting the light signals collected by the compound eye type collection structure. The laser scanning imaging range can be expanded, it is guaranteed that laser beams are always spread along the optical axis of the focusing lens, signals excited by the whole scanning view field can be comprehensively collected, and the large-view-field imaging efficiency and the signal intensity are improved.

The application discloses a kind of pipeline product image correction method, device, equipment and storage medium, belong to the field of automated production technology.The application obtains the real-time image of the loading tray on the pipeline, and the real-time image of the loading tray is split into correction reference image and image to be corrected;The correction reference image is split into multiple correction reference sub-images by equal width;Obtain the line feature parameter of each correction reference sub-image, and obtain the correction parameter sequence according to the line feature parameter;According to the correction parameter sequence, the image to be corrected is corrected, and the corrected product image is obtained.The above-mentioned method can effectively correct the product image by linear camera shooting and the method based on correction reference image, eliminate the distortion caused by the speed of the pipeline, so as to obtain accurate image data, realize the automatic identification, positioning and quality detection of the product on the pipeline, and improve the production efficiency and production observation precision.

The utility model relates to unwinding equipment, and provides the unwinding equipment for copper rod wiredrawing, which comprises a bottom plate, a supporting seat, an unwinding turntable, a telescopic piece and the like, a supporting seat is fixedly arranged on the left side of the upper portion of a bottom plate, an unwinding rotary table is rotatably arranged on the upper portion of the supporting seat, a motor is arranged on the lower portion of the unwinding rotary table and drives the unwinding rotary table to rotate on the supporting seat, and a telescopic piece is concentrically and vertically arranged on the unwinding rotary table and is composed of a lifting rod and a plurality of tensioning plates arranged in a circumferential mode. The tensioning plates are in sliding connection with the unwinding rotary table. The unwinding device is divided into two independent areas, namely the copper rod unwinding area and the copper rod transferring area, the interval area is arranged between the copper rod unwinding area and the copper rod transferring area and serves as a buffering area, the copper rod is prevented from being broken or deformed due to sudden tension or tension change by adjusting the unwinding and transferring speed in the two independent areas, and the copper rod unwinding and transferring efficiency is improved. And the stability and the high efficiency of the whole process are ensured, so that the stability and the reliability of unwinding and transferring the copper rod are improved.

This invention relates to a method for preparing aluminum nitride powder with low lattice oxygen content and its application, belonging to the field of aluminum nitride technology. The invention involves pretreating aluminum nitride powder with a coupling agent, then coating it with a nitrogen-containing resin precursor through in-situ polymerization and low-temperature pyrolysis to obtain aluminum nitride powder with low lattice oxygen content. This powder is then mixed with a ternary eutectic nitride additive composed of silicon nitride, boron nitride, and germanium nitride, and subjected to low-temperature reduction, high-temperature densification, and annealing to obtain aluminum nitride material with low lattice oxygen content. Through the synergistic effect of carbothermic reduction deoxidation, lattice oxygen replacement, and nitrogen vacancy repair, extremely low lattice oxygen content is controlled, simultaneously inhibiting oxygen re-dissolution and reducing phonon scattering, significantly improving the thermal conductivity and resistance to damp heat aging of aluminum nitride ceramics. The aluminum nitride powder prepared by this invention exhibits low lattice oxygen content, excellent thermal conductivity, and resistance to damp heat aging.

The application provides a fine-grained facial expression digital human portrait generation method and system based on consistent identity recognition, and relates to the technical field of computer vision and digital human, wherein the method comprises the following steps: non-contact collection of multi-angle expression images and infrared light reflection signals in a virtual reality environment, conversion of the multi-angle expression images and the infrared light reflection signals into texture and depth electrical signals, and preprocessing of the texture and depth electrical signals to obtain purified expression data; then separation of identity features and noisy expression features through an automatic encoder, reconstruction of the identity features and the noisy expression features through decoding to obtain pure fine-grained expression features; then generation of enhanced local expression features based on a consistent attention mechanism according to eye and mouth region weight distribution, fusion of the enhanced local expression features and the identity features into expression-driven features with consistent identity, and finally driving of a three-dimensional face model to generate a digital human portrait with consistent identity and expression details. The application improves the realism and identity stability of expression interaction in virtual reality.

The application relates to the field of water quality monitoring and discloses an intelligent water quality monitoring method based on multi-dimensional spectral technology, which comprises the following steps: synchronously collecting the absorption spectrum and the three-dimensional fluorescence spectrum of a water sample to be measured; correcting the three-dimensional fluorescence spectrum by using the absorption spectrum to obtain the corrected three-dimensional fluorescence spectrum; constructing a double-path deep neural network to extract absorption spectrum features and three-dimensional fluorescence spectrum features; inputting the two kinds of spectrum features into a self-attention module for internal correlation weighting; generating a fusion coefficient through a gate fusion unit, and dynamically fusing the two kinds of weighted spectrum features according to the fusion coefficient to obtain a fusion spectrum feature vector; and performing water quality parameter analysis based on the fusion spectrum feature vector. The application eliminates the fluorescence distortion of high-concentration samples through internal filter effect correction, deeply extracts heterogeneous spectrum features through a double-path convolutional neural network, and realizes adaptive weighting of the two kinds of spectrum information through dynamic gate fusion.

This application provides a method, electronic device, storage medium, and vehicle for eliminating image distortion. The method includes: calibrating multiple preset points in a constructed calibration coordinate system; determining a first pose relationship between the preset real camera coordinate system and the calibration coordinate system using the pixel coordinates of each of the multiple preset points in a preset real camera image; determining the shooting height of the real camera image based on the first pose relationship; calibrating the multiple preset points in a preset virtual camera coordinate system; determining a second pose relationship between the real camera coordinate system and the virtual camera coordinate system using the pixel coordinates of each of the multiple preset points; constructing a projection transformation relationship between the virtual camera and the real camera at the shooting height based on the second pose relationship; and mapping the real camera image to the virtual camera coordinate system and presenting it using the projection transformation relationship.

The application discloses a noise reduction system for a voice mouse, relates to the technical field of audio noise reduction, and solves the technical problem of low recognition accuracy of the voice mouse; a voice acquisition module is used for acquiring voice signals; and the voice signals are sent to a voice noise reduction module; the voice noise reduction module performs noise reduction processing on the first voice signal and the second voice signal respectively, and obtains a first clean voice signal and a second clean voice signal; the first clean voice signal and the second clean voice signal are synthesized to obtain a clean voice signal; the voice signals are subjected to noise reduction processing, the data traffic in data communication can be reduced, and the integrity of the data is ensured; the clean voice signal is compensated according to an AGC algorithm, reverse gain is used when the user's voice exceeds the acquisition limit, audio distortion is prevented, and the fidelity and accuracy of the audio are improved.

The invention discloses a bistatic inverse synthetic aperture radar imaging calibration method based on a GRFT-PSO algorithm, and relates to the technical field of radar signal processing and radar imaging. The objective of the invention is to solve the problem that an existing bistatic inverse synthetic aperture radar imaging method is poor in anti-interference capability and weak in anti-noise performance in part of complex scenes. The method comprises the following steps: performing pulse compression on echo data scattered on a target; estimating target motion parameters based on the echo data; constructing a compensation phase based on the estimated target motion parameters; optimizing target motion parameters, substituting the target motion parameters into a compensation phase, and further compensating echo data; estimating a bistatic coefficient through linear fitting; and performing direction dimension compression on the compensated echo data based on the estimated bistatic coefficient, and performing Fourier transform on slow time to obtain a distance-Doppler domain echo signal so as to obtain a radar echo image.

The application provides an RGB image dispersion correction method, and relates to the technical field of image correction. The method comprises the following steps: collecting an original image of a target object and a three-dimensional scale block, obtaining image block division information of the original image, the image block division information comprising a center image block and an edge image block, the three-dimensional scale block and the target object being located on the same focal plane, and the original image being an RGB image; performing dispersion correction on pixel point coordinates and color vectors in the edge image block respectively according to coordinate reference information and color reference information of the three-dimensional scale block, and generating a corrected target image. The embodiment of the application can perform high-precision dispersion correction by using the three-dimensional scale block, effectively eliminate the distortion of color and geometric shape in the image, reduce the influence of the distortion on the detection result, and improve the accuracy of the PCB quality detection result.

The application discloses a kind of inter-vehicle camera-based static calibration method and system of workshop, it is related to target calibration technical field.The method includes the following steps: obtaining the vehicle to be calibrated image obtained by surround view camera, pre-processing to-be-calibrated image;Parameter correction model and distortion correction model are constructed;Parameter correction model is used to correct the parameter of to-be-calibrated image, and calibration image is obtained;Calibration image is processed using distortion correction model, eliminate image distortion, and obtain the calibration image after correction;After registration, fusion and splicing, the final image is obtained after calibration image after correction.This application reduces the cost requirement by using online calibration method, and uses double neural network to optimize the parameters of calibration process, improves the accuracy of camera calibration.

The application relates to a PGC parameter calibration and error suppression method based on machine learning. The method comprises the following steps: a single-frequency laser outputs input light, and interference type optical fiber sensors process the input light to generate interference light. The interference light is converted into an electric signal by a photoelectric detector, and then the electric signal is converted into a digital signal by a data acquisition card and transmitted to a signal processing demodulation device. The digital signal is mixed and low-pass filtered to obtain a sub-signal affected by a modulation depth and a phase delay. Meanwhile, a short time domain signal output by the sensor or a Fourier transform signal thereof is input into two trained machine learning models to quickly output the modulation depth and the phase delay. The sub-signal is compensated, and the ratio of the compensated sub-signal is subjected to an inverse tangent operation to finally obtain a to-be-measured signal in which PGC parameter offset distortion is eliminated. The method can break through the limitations of the existing PGC parameter offset demodulation error calibration method.

The invention relates to a PGC parameter calibration and error suppression method based on machine learning. The method comprises the steps that a single-frequency laser outputs input light, and the input light is processed by an interference type optical fiber sensor to generate interference light; the interference light is converted into an electric signal by a photoelectric detector, then is converted into a digital signal by a data acquisition card, and is transmitted to a signal processing demodulation device for frequency mixing and low-pass filtering of the digital signal to obtain a sub-signal influenced by modulation depth and phase time delay; and meanwhile, inputting a short-time domain signal output by the sensor or a Fourier transform signal of the short-time domain signal into the two trained machine learning models, and quickly outputting modulation depth and phase time delay. The sub-signals are compensated, arc tangent operation is carried out on the ratio of the compensated sub-signals, and finally the to-be-detected signal with the offset distortion of the PGC parameter eliminated is obtained. By adopting the method, the limitation of the existing PGC parameter offset demodulation error calibration method can be broken through.

This invention relates to the field of diode fabrication technology, specifically disclosing a low-leakage Schottky diode and its fabrication method. The diode includes a substrate; a first N-type GaN layer disposed on the substrate; the first N-type GaN layer including a planar layer and a boss structure disposed on the planar layer; an N-type buried layer disposed on the first N-type GaN layer; a second N-type GaN layer disposed on the boss structure; and a JTE region disposed on a portion of the upper surface of the second N-type GaN layer, the sidewalls of the second N-type GaN layer, the sidewalls of the boss structure, and a portion of the upper surface of the planar layer. The JTE region is a P-type GaN layer, formed by Mg ion implantation activation, and is not in contact with the Schottky electrode, the front ohmic electrode, or the back ohmic electrode. This invention uses Mg-JTE termination instead of a metal P-type termination layer, thus eliminating the shielding effect, electric field reflection and distortion, and high-frequency parasitic capacitance or inductive interference of metal at high frequencies.

The invention discloses a pull sling response signal processing method and device based on empirical mode decomposition, a medium and equipment, and belongs to the technical field of bridge operation and maintenance. The method comprises the following steps: collecting real-time data of a target signal according to a preset moving window length to obtain current moving window data; performing signal decomposition on the current moving window data based on an empirical mode decomposition method to obtain a current moving window decomposition signal; and eliminating data breakpoints of overlapped parts by adopting an overlapped region linear weighted fusion method, taking decomposition results obtained in respective moving windows for non-overlapped parts, and combining the decomposition results to obtain smooth and continuous corrected decomposition signals. According to the method, the calculated amount pressure of long-time sequence signal loading and processing can be avoided, boundary data distortion of segmented processing is eliminated, the continuity of each signal component after decomposition is guaranteed, the completeness of signal characteristics is guaranteed, and the reconfigurability of the signals is reserved.

This invention belongs to the field of ultra-deep and ultra-high pressure downhole sampling technology, and relates to an ultra-deep and ultra-high pressure downhole PVT sampling device. This invention uses an electronic switch to time the activation of a one-way switch. The one-way switch ensures that fluid can only flow into the sampling chamber through the sampling inlet in one direction, preventing backflow or leakage after sampling, thus ensuring the accuracy and safety of the sampling. During sampling, the piston assembly moves towards the trigger switch under the action of the sample. When the trigger part on the piston assembly squeezes the trigger switch, and the pressure value of the squeezed trigger switch reaches a threshold, the trigger switch opens, and pressure-holding gas is injected into the sampling chamber through the pressure-holding gas inlet to maintain the high pressure state of the fluid sample in the sampling chamber. This achieves precise control of the pressure-holding gas injection, ensuring the accuracy and representativeness of the sample. This invention can achieve deep downhole pressure-holding sampling with good representativeness of the sampling results.

The invention relates to the technical field of computer vision and aided driving, in particular to a dynamic inverse perspective transformation delay compensation method based on IMU (Inertial Measurement Unit) grey prediction. And attitude synchronization and image geometric correction of a vehicle-mounted camera in a vehicle movement process are realized by combining dynamic inverse perspective transformation, so that the accuracy and stability of aerial view generation of an automatic driving system in a dynamic scene can be improved, and the problem that image frames are mismatched with vehicle attitude information due to sensor data delay in the prior art is solved. And therefore, an inverse perspective transformation result is distorted, and a subsequent perception decision is influenced.

Systems and methods for obtaining a seamless, high resolution, large field of view image comprise capturing a plurality of Tele images in a scene using a scanning Tele camera, each captured Tele image having an associated Tele field of view FOVT, retrieving a R image having a respective R image scene with a field of view greater than FOVT, analyzing the R image for defining an order of scanning positions according to which the folded Tele camera scans a scene to capture the plurality of Tele images, aligning the plurality of Tele images and the R image to obtain aligned Tele images, and composing the aligned Tele images into an output image. The output image may include at least parts of the R image and may be one of a stream of output images.

This invention relates to the field of spacecraft ground simulation experiments, specifically a six-degree-of-freedom flexible docking and attitude measurement platform and its usage method. The platform includes a platform base, with three flexible mechanisms evenly distributed above the base. Each flexible mechanism has a support frame above it, and a docking mechanism mounting interface is fixedly connected to the support frame. Three cubes are evenly distributed on the lower surface of the docking mechanism mounting interface, and these cubes have six measurement reference planes forming three mutually perpendicular planes. A laser ranging unit is located on the opposite side of each measurement reference plane. In this invention, the flexible mechanisms effectively reduce problems such as position overshoot and force over-limit caused by slow response speeds of the actuators. Simultaneously, real-time six-degree-of-freedom attitude measurement is possible, and the attitude changes of the flexible mechanisms are integrated into the semi-physical measurement platform for calculation in real time, thereby eliminating motion distortion caused by the flexible mechanisms.

The application discloses a laser radar based on a variable field of view stable holder and an implementation method thereof, and relates to the technical field of laser radars, and comprises the laser radar and a variable field of view holder for carrying the laser radar. The variable field of view holder comprises a base, a heading angle platform, a support, a pitch angle motor, a middle frame, a roll angle motor, a carrying platform, a pitch angle rotating bearing, a roll angle rotating bearing and a gyroscope sensor. According to the application, the pitch angle motor and the roll angle motor can compensate for the posture change of a robot caused by ground materials, unevenness, terrain and the like in real time according to the change of the gyroscope sensor. The heading angle platform receives a robot motion instruction and compensates for the mapping distortion caused by the turning of the robot.

The invention discloses an ultra-precision automatic measurement method and device for the sizes of a wire tail and a burning ball of a wire bonder, and relates to the technical field of semiconductor packaging. The method comprises the following steps: monitoring the contact between the tail end of a lead and the surface of a material in real time through a pseudo soldering detection system, obtaining first displacement data, calculating to obtain the actual physical length of the tail end of the current lead, comparing the actual physical length with a preset standard for evaluation, and if the evaluation is not abnormal, executing an electronic ignition step to form a burning ball; controlling the welding tool to move to a preset initial height; the method comprises the steps of obtaining second displacement data; and further obtaining the changed physical length of the line tail in the process of forming the burning ball, calculating to obtain the radius value of the burning ball, and comparing and evaluating the radius value with a preset process specification. By the adoption of the method, mechanical deformation errors can be avoided through hardware-level instantaneous contact detection, and automatic and high-precision measurement of the length of the micron-level wire tail and the size of the fired ball is achieved in combination with a high-precision physical model.