243 results about "Optical distortion" patented technology

The invention provides an underwater robot obstacle avoidance system based on object capture. The method comprises the steps of collecting spatial visual information in a target area where the underwater robot is located in real time; acquiring multi-modal environment data in a target area where the underwater robot is located; constructing polarized light data in the multi-modal environment data into a water body scattering model by adopting a Mueller matrix to correct optical distortion in spatial visual information; acquiring a real-time motion state of the underwater robot through an inertial measurement unit; acquiring water flow disturbance data of the underwater robot, and correcting position drift caused by water flow disturbance in a real-time motion state by combining a water body flow model with the water flow disturbance data acquired in real time; constructing a dynamic risk field corresponding to the target area based on the spatial visual information, the corrected real-time motion state and sonar ranging data in the multi-modal environment data; and generating an obstacle avoidance strategy of the underwater robot in a future preset time period based on the dynamic risk field so as to realize dynamic obstacle avoidance.

The invention discloses a deviation rectification control method and system for simulating shield excavation, and relates to the technical field of shield control. The deviation rectification control method and system for simulating shield excavation comprise the steps that S1, shield deviation rectification data are collected in real time, and the shield deviation rectification data are preprocessed; s2, extracting an attitude deviation component, comprehensively evaluating environmental drift and optical distortion influence of attitude deviation, and generating each calibrated attitude angle; s3, all the calibrated attitude angles are read, attitude correction required values in all directions are calculated in combination with the laser target deviation value, the dynamic fluctuation degree of the execution process is quantified, and the target stroke of the deviation correction oil cylinder is obtained; and S4, the target speed is calculated, a deviation rectification control instruction is generated and issued for execution, a deviation rectification execution data set is formed, and a deviation rectification control closed loop is completed. The problems that an existing system lacks an automatic calibration and anomaly recognition mechanism, sensing data distortion still participates in deviation correction control, PLC attitude calculation errors are accumulated, and false deviation correction is generated are solved.

The invention relates to an optical distortion test system and method. According to the method, a light source assembly is used for outputting projection light; the target assembly is fixed in front of the projection light output end of the light source assembly. The to-be-tested assembly is located on the side, away from the light source assembly, of the target assembly and connected with the adjusting assembly. The adjusting assembly comprises a pitching adjusting sub-assembly, a horizontal adjusting sub-assembly, a height adjusting sub-assembly and an inclined sub-assembly, the pitching adjusting sub-assembly is used for ensuring that the to-be-detected assembly is perpendicular to the projection optical axis, and the horizontal adjusting sub-assembly and the height adjusting sub-assembly are used for ensuring that the optical center of the to-be-detected assembly is coaxial with the projection optical axis and the lens center of the detection assembly; the inclined sub-assembly is used for adjusting a space angle between an optical central axis of the to-be-detected assembly and a projection optical axis of the light source assembly so as to detect edge distortion of the to-be-detected curved surface element; the detection assembly is located on the side, away from the to-be-detected assembly, of the adjusting assembly and used for shooting a projection image of the target assembly which generates distortion after being acted by the to-be-detected assembly.

The invention discloses an electric arc three-dimensional reconstruction system and method based on binocular vision. The system comprises a double-camera image acquisition module, a correction module, a boundary contour point extraction module and a three-dimensional reconstruction module. The dual-camera image acquisition module completes dual-camera parameter calibration and dual-vision arc image shooting operation at different positions; the correction module corrects an optical distortion area and a breakpoint area of the double-vision arc image to obtain a corrected double-vision arc image; the boundary contour point extraction module adopts a third-order Bezier curve to perform segmentation fitting on the boundary contour of the corrected double-vision arc image to obtain continuous double-vision arc boundary points; and the three-dimensional reconstruction module reconstructs a three-dimensional contour line of the electric arc through a triangulation method according to the camera calibration parameters and the double-vision electric arc boundary points, and generates a corresponding three-dimensional point cloud data set. According to the method, the distortion and breakpoint phenomena of the arc image can be repaired, and high-precision reconstruction of three-dimensional data of the arc is realized.

The invention provides an embedded image enhancement method and system for a large-target-surface image sensor. According to the method, temperature gradient distribution and environment humidity data of a large-target-surface image sensor are collected, and an environment parameter matrix and a temperature noise mapping model are constructed in an associated mode; and correcting optical distortion of the incident light signal by using the liquid crystal modulator array, and outputting an original image. Then through a double-path module, a main path extracts noise features, and an auxiliary path separates color shift features caused by humidity; and verifying the physical consistency of the characteristics based on a thermodynamic equation and screening effective data. And finally, dynamically optimizing the image contrast, the dynamic range and the target details by the embedded processor, and outputting an enhanced image. Through environmental parameter modeling, dual-path feature separation and physical verification, temperature and humidity interference is effectively suppressed, and detail enhancement and color fidelity of the large-target-surface image sensor are improved.

The invention relates to the technical field of industrial vision, in particular to an automobile part surface defect detection method and system based on machine vision, and the method comprises the steps: firstly loading a CAD three-dimensional model, and rendering an ideal fringe reflection map in a virtual environment; calculating an optical distortion correction matrix by comparing the phase distortion with the phase distortion of an actual initial reflection image, driving a programmable light source to project a compensation pattern, and generating a normalized reflection intensity image; signal object decoupling is achieved through multi-scale wavelet transform, and high-frequency components and low-frequency components are separated; homomorphic filtering is applied to the low-frequency component to construct a homogenized background model, the high-frequency component is reversely corrected, and a high-signal-to-noise-ratio defect signal image is output; generating a coarse segmentation mask by the high-frequency signal through an adaptive local threshold, generating a morphology anomaly mask by the low-frequency signal through Hessian matrix morphological analysis, and fusing to form a collaborative segmentation mask; and extracting multi-dimensional geometric attributes of connected domains in the masks, and inputting the multi-dimensional geometric attributes into a decision tree to realize accurate classification and confidence output of defects.

The invention relates to the technical field of intelligent visual detection, in particular to visual field detection equipment, system and method based on extended reality (XR), and the method comprises the steps that an image feature extraction module collects image data in real time, extracts features and eliminates optical distortion; the fixation deviation correction module analyzes eye movement data in real time, quantifies fixation deviation and triggers visual prompt and correction; the adaptive stimulation generation module dynamically encrypts to generate a test point image and adaptively adjusts the test point image according to visual field analysis and test requirements; the dynamic adjustment image module predicts and optimizes a test point presentation sequence according to image features and fixation points, automatically encrypts a high-probability defect area and quickly jumps to a key screening area; and the visual field defect identification module extracts image features, calculates the defect probability of each region in real time by using a Bayesian network in combination with subject response data, and locates a high-risk region. The system provides an efficient and accurate visual field detection scheme through the synergistic effect of multiple modules.

The invention discloses an ultra-wide thin-wall tunnel roof deformation monitoring device based on laser ranging, and relates to the technical field of laser measurement, the ultra-wide thin-wall tunnel roof deformation monitoring device comprises an industrial camera and a mounting seat, a laser is fixedly mounted on the mounting seat, a mounting bracket is mounted at the bottom of the mounting seat, and a protective shell is fixedly mounted on the mounting seat. A light beam collimator is fixedly installed on the laser device, and a beam splitting assembly is fixedly installed in the protective shell and used for equally dividing a light source emitted by the laser device into two laser beams. The tunnel section deformation monitoring method has the advantages that high-precision and high-efficiency deformation monitoring can be performed on the tunnel section, the problems of time desynchrony and optical distortion existing in a traditional method are effectively solved, and meanwhile, the adaptability and data reliability in a severe environment are remarkably improved; and reliable technical means and equipment support are provided for structural health assessment of the ultra-wide thin-wall tunnel top arch.

The invention provides a camera image display method and device, an augmented reality display system and a computer readable storage medium. The camera image display method comprises the following steps: acquiring a to-be-corrected original image through a live-action camera; an optical machine distortion grid representing optical machine distortion characteristics of the display optical machine is obtained, and the optical machine distortion grid is obtained by performing complementation, displacement, rotation and / or fixed-point processing on a preliminary distortion grid obtained through shooting according to the result of an optical machine calibration experiment; and processing the original image according to the optical machine distortion grid so as to generate a pre-corrected image, and obtaining a display image offsetting optical distortion at the rear end of the display optical machine. By performing complementation, displacement, rotation and / or fixed-point processing on the preliminary distortion grid calibrated by the experiment, the method can obtain a more accurate distortion grid to compensate for the distortion of the optical machine, thereby improving the quality of the display image and improving the user experience.

The invention discloses a single-pixel phase imaging method based on an untrained physical driving neural network, and belongs to the field of single-pixel imaging and computational optics. According to the method, by adding a physical diffraction layer and an Admn optimizer, direct reconstruction from a single-pixel detection intensity sequence to a phase object image is realized. According to the method, pre-training is not needed, and the dependency on a large data set is remarkably reduced; by introducing the total variation loss of the output phase, the influence of noise and optical distortion is effectively suppressed; and when the sampling rate is as low as 30%, the phase distribution can still be efficiently reconstructed, and the required sampling number is reduced.

The invention discloses a self-adaptive spatial transformation network for cross-medium optical distortion, and solves the problem that the existing spatial transformation network is difficult to consider both global transformation and local nonlinear optical distortion. The network is integrated in a target detection model, and the method comprises the steps that firstly, a parameter prediction network synchronously outputs affine transformation parameters and a water surface fluctuation physical parameter diagram; then, the local distortion grid generation network generates a distortion sampling grid based on the parameter diagram and a predefined water surface fluctuation physical model; meanwhile, the grid generator generates an affine sampling grid according to the affine transformation parameters; then, a grid fusion device fuses the two grids to generate a final sampling grid; and finally, the sampler samples the input image or the feature map according to the final sampling grid to obtain an output image or a feature map. Through a space transformation mechanism guided by physical prior, optical distortion caused by water surface fluctuation can be effectively relieved, and the accuracy and robustness of a target detection model in a cross-medium underwater scene are remarkably improved.

The invention discloses an in-situ harmful gas monitoring method for sewage treatment plant structures, and particularly relates to the field of in-situ harmful gas monitoring, and the in-situ harmful gas monitoring method comprises the following steps: collecting refractive index disturbance data of a local gas-liquid-gas interface caused by bubble release in a sludge tank or an anaerobic tank, and forming a refractive index distribution field changing along with time; and modeling an infrared light propagation path based on the refractive index distribution field, executing infrared absorption inversion operation, solving a first concentration result of the harmful gas, and establishing a mapping relationship between the first concentration result and the refractive index distribution field. Through coupling calculation of a refractive index distribution field caused by bubble disturbance and an infrared absorption inversion process, a reciprocating iteration and time sequence prediction chain is constructed so as to correct dynamic optical distortion and stably solve the real release intensity of harmful gas.

The invention belongs to the technical field of optical system aberration analysis, and discloses an experimental device for measuring and correcting image distortion of an optical imaging system, which comprises an optical axis testing device and an optical distortion testing platform, and the optical distortion test platform is used for testing optical distortion of the optical imaging system to be tested and integrating optical distortion data with optical axis deviation to obtain an image distortion fitting coefficient and a distortion correction model of the optical imaging system. According to the invention, the image distortion of the optical imaging device can be measured, the image distortion can be corrected, the imaging device can correct the deviation between the optical axis and the center of the target surface when the system is installed and adjusted, the optical distortion of the whole optical system can be corrected, and the method has guiding significance for the application of detecting and identifying the accurate position of a target by using the optical system.

Vehicle window glass and a vehicle. Vehicle window glass (100) comprises an information acquisition area (101); the information acquisition area (101) comprises an optical transmission area (103) and a shielding area (104); a first shielding layer (20) and at least one second shielding layer (30) are arranged in the shielding area (104); the material of the second shielding layer (30) is different from that of the first shielding layer (20); at least one transition area (105) is arranged between the first shielding layer (20) and the optical transmission area (103); and one part of each second shielding layer (30) covers the corresponding transition area (105), and the other part of each second shielding layer (30) covers part of the surface of the first shielding layer (20). The vehicle window glass not only can ensure the size range of an optical transmission area necessary for a sensor, but also implement isolation of optical distortion outside the optical transmission area, such that the diopter of the optical transmission area satisfies the use requirements of the sensor, the image acquisition quality of the sensor is effectively improved, the detection quality of the sensor is improved, and the use requirements of a camera having high precision and a narrow horizontal field of view can be satisfied.

The invention discloses a double-beam link vortex light correction system and method based on a model method, and the system comprises a double-beam common-path light path which is used for enabling vortex light and planar light to be transmitted in a common path, to pass through a turbulent flow or optical distortion region together, and to carry the same wavefront distortion information; the wavefront correction unit is used for dynamically compensating wavefront distortion information; the image acquisition and control unit is used for acquiring a corrected far-field light spot image after the planar light passes through a distortion area, and generating a driving instruction of the wavefront correction unit according to far-field light spot information to realize closed-loop control; and the topological charge detection module is used for carrying out topological charge detection on the corrected vortex light. According to the invention, indirect correction of the turbulence aberration of the common-path vortex light is realized, so that the correction efficiency and stability of the vortex light are improved.

The invention discloses a self-adaptive optical distortion compensation device and compensation method based on high-speed closed-loop control, and the device comprises an optical path front-end interface which is used for connecting a coupling wind tunnel or a laser emission system; the wavefront sensor is used for measuring a local wavefront slope by adopting a distributed array; the FPGA controller comprises a wavefront reconstruction processor and a closed-loop logic controller and is used for reconstructing wavefront and generating a control instruction; the MEMS deformable mirror array comprises a plurality of MEMS drivers and is used for correcting a wavefront phase; the feedback monitoring module is used for performing dual verification through deformation capacitance measurement and CCD image feedback; and the imaging / laser output end is used for converting the corrected optical signal into an image and outputting the image. The method can be widely applied to the fields of high-speed aircraft wind tunnel testing, laser communication, infrared imaging guide head calibration, high-energy laser beam shaping and the like, a programmable hardware platform, a high-speed parallel operation structure and a predictive control algorithm are introduced, and unprecedented sub-microsecond closed-loop compensation is achieved.

A system implements techniques for measurement and compensation of optical distortion by accessing a first image of a target object captured of via an imaging instrument, and repeating the process of moving the target object a known distance via an actuator and capturing other images of the target object after the target object has been moved a number of times until a plurality of images have been captured. A correspondence is then established between a feature of the first image and a corresponding feature of each of the other images to identify corresponding features in consecutive images and the coordinates of each pair of identified corresponding features is measured. The measured displacement vector between each pair of features is used to determine parameters for optical distortion of the imaging instrument which is then used to modify the first image to compensate for optical distortion, and output the modified image.

This invention discloses a machine vision-based method and system for dynamic screening and size detection of glass fiber particles, specifically relating to the field of glass fiber particle size detection. The method includes real-time monitoring of particle adhesion and dynamic adjustment of the vibration dispersing mechanism, further integrating vibration signals and image features for analysis, and correcting motion blur and refractive index distortion in the image to accurately measure the physical size of the particles. The machine vision-based method and system for dynamic screening and size detection of glass fiber particles achieves coordinated control of vibration and imaging by dynamically adjusting vibration parameters through the adhesion index, effectively solving the problem of lack of coordination between the vibration dispersing mechanism and the imaging mechanism. Through distortion correction algorithms, it compensates for motion blur caused by vibration and optical distortion caused by differences in glass fiber refractive index, reducing measurement distortion. Finally, through a reinforcement learning model, it minimizes size measurement errors while ensuring high dispersion.

The application provides an underwater robot obstacle avoidance system based on object capture. The method comprises the following steps: collecting spatial vision information of a target area where an underwater robot is located in real time; acquiring multi-modal environment data of the target area where the underwater robot is located; constructing a water body scattering model for correcting optical distortion in the spatial vision information by using Mueller matrix for polarization light data in the multi-modal environment data; acquiring real-time motion state of the underwater robot by using an inertial measurement unit; acquiring water flow disturbance data of the underwater robot, and correcting position drift in the real-time motion state caused by water flow disturbance by using a water flow model and the real-time collected water flow disturbance data; constructing a dynamic risk field corresponding to the target area based on the spatial vision information, the corrected real-time motion state and sonar ranging data in the multi-modal environment data; and generating an obstacle avoidance strategy of the underwater robot in a future preset period based on the dynamic risk field, so as to realize dynamic avoidance of obstacles.

The invention provides an integrated calibration method, device and equipment for photoelectric non-uniformity of an optical star measurement sensor, and relates to the technical field of spacecraft celestial navigation. The method comprises the following steps: constructing lattice structure light to form array image spots on a star sensor, resampling to establish an actual PSF model, and realizing optical system aberration calibration of a corresponding area; sequentially displacing the array image spots, and calibrating the electrical response non-uniformity of each pixel by using the mapping relation between imaging data and PSF; and performing precise positioning on the image spot array after pixel response correction to obtain an image spot high-precision positioning result, and calibrating optical distortion of each pixel according to the high-precision positioning result. Therefore, the problems of photoelectric non-uniform coupling and limited calibration precision in calibration of the star measurement sensor are effectively solved, and high-precision and integrated calibration of optical aberration, distortion and electrical response of the star measurement sensor is realized.

The invention discloses a method for rapidly detecting optical distortion of an automobile front windshield. The method specifically comprises the following steps: firstly, preparing a detection lamp box and a detection bracket; the detection lamp box is provided with a front side plate and a rear side plate which are oppositely arranged, the front side plate is provided with a black and white inclined stripe curtain, and the inner wall of the rear side plate is provided with a lamp source; then placing the detection support in front of the detection lamp box, placing the glass to be detected on the detection lamp box in a manner that the convex surface faces upwards and the top edge faces the detection lamp box, and moving the detection support to enable the top edge of the glass to be detected to be close to a front side plate of the detection lamp box or to be in contact with the front side plate of the detection lamp box; then, standing right in front of the to-be-detected glass to photograph the to-be-detected glass; observing whether a white secondary image appears in the projection picture, and if not, judging that the to-be-detected glass does not have optical distortion; and if yes, judging that the to-be-detected glass has optical distortion. The method is low in cost, easy to operate and capable of rapidly judging whether optical distortion is generated or not.

The invention discloses an intelligent detection method and system for garment quality inspection, and relates to the technical field of computer vision and intelligent manufacturing. The method comprises the following steps: carrying out pixel-level feature analysis on two-dimensional image data, identifying a sewing line and a printing area, and mapping the sewing line and the printing area to a unified space coordinate system; reconstructing the three-dimensional surface form of the garment based on a stereoscopic vision algorithm, and calculating the dimensional deviation of key parts; converting the spectral data into a CIELAB color space, and carrying out optical distortion correction on local chromatic aberration in combination with a three-dimensional curvature; and under a unified space coordinate system, performing correlation analysis on the stitches, the dimensional deviation and the corrected space distribution, identifying a composite defect which cannot be judged by a single defect, generating a correlation defect identifier, and finally forming a quality report. The technical problems that in the prior art, local chromatic aberration is easily influenced by three-dimensional curved surface deformation and optical distortion of ready-made clothes, information such as dimensional deviation, sewing and printing defects and the local chromatic aberration is isolated, comprehensive correlation analysis is lacked, and consequently the detection accuracy is insufficient are solved.

The invention relates to the technical field of optical-mechanical-electrical integrated devices, and discloses a portable intelligent crack width testing device with a WiFi camera module, which comprises a mechanical part, an optical part, a WiFi camera module part, an intelligent measuring part and a traceability device for measuring results. Through the fixed structure design of two conjugate points (beta1 =-0.6 and beta2 =-1.667) with different multiplying powers of the optical part, the measurement of a small crack of 0.01 mm to a large crack of more than 10 mm can be realized without replacing an optical assembly, and the detection requirements of cracks with different widths in various scenes are met; the precision is differentially controlled according to cracks with different sizes, the measurement precision of small cracks within 5mm is not greater than + / -0.01 mm, and the precision of large cracks is not greater than + / -0.02 mm; meanwhile, the optical relative distortion is not greater than 0.5%, and the full field of view is Distlt; and the MTF value of the 0.8 field of view is not less than 0.3 under 135lp / mm, so that imaging distortion and detail loss are reduced, measurement data are ensured to be accurate and reliable, and accurate data support is provided for engineering safety quality evaluation.

The invention relates to an elastic frame structure with high facial form adaptability and glasses, the elastic frame structure comprises a frame, lenses and a nose bracket, and further comprises two glasses legs respectively connected with the left end and the right end of the frame, the nose bracket is fixedly connected with the middle of the frame and protrudes downwards based on the middle of the frame, and the position where the nose bracket is fixedly connected with the lenses is located on the inner side of the frame. And the left and right parts of the glasses frame are respectively provided with an elastic deformation component which elastically deforms independently of the lenses. Even if the head circumferences of wearers are different, the lenses can still keep optical performance, optical distortion caused by the difference of the head circumferences is reduced or eliminated, and a consistent visual effect is provided. According to the glasses, the user experience is improved, the compatibility of the lenses and the glasses frame is better, different lenses can be replaced, the visual effect can be kept stable, and the uncomfortable period of adapting to new glasses again is reduced.

The invention discloses an optical view field expansion and dynamic distortion compensation method for light field display, and particularly relates to the technical field of light field display, and the method comprises the steps: determining a configuration scheme through building a collaborative structure parameter model of a microlens array and a free-form surface optical element; then, the focal length distribution of the micro-lens array and the curvature distribution of the free-form surface optical element are adjusted, so that the expansion of an optical view field is realized; acquiring light information in an expanded view field range by using a wavefront sensor, and establishing an optical distortion mathematical model; calculating wavefront error distribution based on an optical error inversion algorithm and generating a compensation control signal; and adjusting response parameters of the optical element according to the compensation control signal, correcting the light wavefront, feeding back the corrected light field information to update wavefront error distribution, and iteratively generating a new compensation control signal. According to the invention, a light field display field angle can be effectively expanded, distortion after field expansion is reduced, and good application compatibility is achieved.

The invention discloses a connecting device and a decorative strip assembly. The connecting device is used for installing the decoration strip to the vehicle body and comprises a body, a maintaining wing movably connected to the body and a locking piece connected to the body, the maintaining wing is used for being connected with the decoration strip, the locking piece is used for being connected with the vehicle body, and the maintaining wing can move towards a first plane where the body is located. The retaining wing and the decorative strip are pre-assembled and connected, when the decorative strip is installed, the retaining wing can be driven to move towards the first plane of the body, a downward buffering space and buffering force are provided, deformation of the decorative strip during installation is reduced, the surface quality of the decorative strip is guaranteed, and optical distortion of the surface of the decorative strip is avoided. In addition, the bonding area does not need to be pretreated, the number of parts is reduced after preassembly, and the installation cost is reduced. Meanwhile, due to the fact that glue is not used, the problems that the decoration strip is pulled and light distortion is caused on the surface of the decoration strip due to solidification and shrinkage of the glue can be avoided.

The invention relates to an image capture device (100) for vehicle-mounted acquisition of at least one image inside said vehicle, said device (100) comprising: - a camera (10) sensitive at least in the infrared range, arranged to acquire said at least one image, said camera (10) comprising a principal optical axis (12), - a protective panel (20) comprising a secondary optical axis (21), said protective panel (20) being arranged to mechanically protect said camera (10), characterized in that said camera (10) comprises at least one optical element (11) arranged to introduce barrel optical distortion onto at least a portion of the at least one image, said protective panel (20) being arranged to introduce pincushion optical distortion onto at least a portion of the at least one image. Figure for the abstract: Fig. 1

The present invention provides a camera image display method and apparatus, an extended reality display system, and a computer readable storage medium. The camera image display method comprises: acquiring, via a reality capture camera, an original image to be corrected; acquiring an optomechanical distortion grid representing optomechanical distortion characteristics of a display optomechanical system, wherein the optomechanical distortion grid is obtained by performing completion, translation, rotation and / or fixed-point processing on a captured initial distortion grid on the basis of the result of an optomechanical calibration experiment; and processing the original image on the basis of the optomechanical distortion grid to generate a pre-corrected image, and obtaining, at the rear end of the display optomechanical system, a display image with optical distortion compensated. By performing completion, translation, rotation and / or fixed-point processing on the initial distortion grid obtained by experimental calibration, the present invention can obtain a more accurate distortion grid to compensate for the optomechanical distortion, so that the quality of the display image is improved, and the user experience is improved.

The invention discloses a method for repairing abnormal curvature of curved glass, which comprises the following steps of: positioning a main repairing area, and identifying a compensation area of a new defect caused by heat conduction by adopting a prediction model. In the repairing process, through the synergistic effect of the main heat source and the auxiliary heat source, parameters of the main heat source and the auxiliary heat source are adjusted according to a global temperature field monitored in real time, management of the thermodynamic state in the repairing process is achieved, and the problem that the temperature field is uneven due to local heating is solved. The technical problem that new profile tolerance is out-of-tolerance or optical distortion is induced while original curvature abnormity is repaired is solved, and it is ensured that the shape precision and the optical performance of the repaired curved glass are synchronously improved.

The invention relates to the technical field of industrial control, and particularly discloses an intelligent visual measurement and control analysis system for a resin separation interface, which is characterized in that firstly, through image acquisition and HSV (hue, saturation, value) color space transformation, interface characteristics are accurately positioned in a complex illumination and window dirty environment by utilizing a hierarchical semantic segmentation technology; further, according to the scheme, a traditional linear perspective mapping model is abandoned, a light path refraction compensation mechanism based on the Snell law is constructed, interface pixel coordinates are converted into a sight incident angle, the nonlinear lateral displacement is calculated in combination with the window glass thickness and the refractive index, and therefore the real physical height for eliminating optical distortion is reconstructed. Based on the high-precision data, the system generates a control instruction through a PID strategy to drive a field valve, and precise closed-loop automatic control over the resin regeneration process is achieved.