134 results about "Adaptive optics" patented technology

The invention discloses an artificial intelligence machine vision image acquisition system, and the system comprises a multi-mode perception layer which integrates a self-adaptive optical module, inhibits metal reflection, captures a visible light to short wave infrared image, and captures a motion edge; the dynamic adaptive layer adopts an illumination compensation and motion compensation module to dynamically adjust camera parameters and micro displacement compensation, feeds back an illumination trend, outputs a motion vector to the cognitive layer, generates a confrontation sample through a GAN, simulates virtual defects in combination with a physical engine, and expands training data; the cognitive reasoning layer is used for deploying a dynamic routing network, distributing computing resources according to image complexity and optimizing feature extraction efficiency; reducing data deviation through anti-fact analysis, and generating a thermodynamic diagram to explain a detection basis; and the collaborative decision-making layer is used for rapidly screening samples by edge nodes, training a global model by cloud aggregated data, automatically triggering manual rechecking when the confidence coefficient of the model is insufficient, synchronously optimizing a training set and a causal reasoning module by a rechecking result, and improving the labeling efficiency through AR assistance.

The invention relates to the technical field of industrial nondestructive testing, in particular to a paper drum defect full-inspection method based on machine vision, which comprises the following steps: step 1, constructing a curved surface self-adaptive optical environment: arranging annular low-angle strip-shaped light source arrays along the circumferential direction of a paper drum at equal intervals, and forming a dynamically adjusted set acute angle between the emergent direction of each light source and the surface normal of the paper drum, the acute angle is reduced along with the increase of the diameter of the paper barrel, and near-infrared coaxial diffused light sources are arranged at the two axial ends of the paper barrel; step 2, motion compensation three-dimensional reconstruction; 3, multi-modal defect hierarchical decision making: expanding the three-dimensional point cloud into a two-dimensional image along the circumferential direction, and constructing a dynamic reference grid with the grid cell size adaptively adjusted along with the pattern complexity on the two-dimensional image; cooperatively extracting geometric structure features, surface texture features and gluing seam features; and outputting defect classification through a three-level decision tree. By means of the method, efficient and accurate paper barrel full inspection can be achieved, and the automation level of a production line and the paper barrel quality control capacity are effectively improved.

The invention discloses a model-based adaptive optical dynamic modeling and control method and device, and belongs to the cross field of adaptive optics and model-based reinforcement learning, and the method comprises the steps: defining the state of an AO system as a combination of multi-mode observation, and carrying out the corresponding coding; fusing the multi-modal observation data through a cross attention mechanism to form a unified observation potential state rich in dynamic information; a deep dynamic world model based on the recurrent neural network is constructed, the model maintains a hidden state and deduces a discrete potential state, and the hidden state and the discrete potential state jointly form complete potential state representation of the world model; rebuilding original observation and predictive rewards according to the complete potential state representation of the world model; and training a reinforcement learning agent in the learned world model, learning an optimal strategy through an imaginary trajectory, and outputting key parameters of the AO system in real time. According to the method, the adaptability, the control precision and the robustness of the AO system in a complex dynamic environment are improved.

The invention discloses a die casting burr detection system and method based on machine vision, and relates to the field of machine vision detection.The method comprises the steps that based on a spectral feature vector set, a curved surface self-adaptive optical compensation mechanism is used, a polarization-spectral image set is obtained again through light path optimization, and the optimized polarization-spectral image set is obtained and corrected; generating a high-resolution image set, performing illumination distribution analysis on the surface of the die casting through the high-resolution image set to form a multi-exposure image set, inputting the multi-exposure image set into the constructed U-Net model for semantic segmentation, generating a high-dynamic-range image, and performing shadow elimination on the high-dynamic-range image by applying a gradient Poisson fusion algorithm to obtain a high-dynamic-range image. And after the shadow is eliminated, a pre-trained Mask-R-CNN model is used for detection, and a burr detection result is output. According to the method, the polarization-spectrum image set is optimized through curved surface adaptive optics, and imaging optimization and geometric correction of a complex curved surface area are achieved.

The invention discloses a single crystal turbine blade crystal orientation defect detection system based on adaptive optics, particularly relates to the field of nondestructive testing, and is used for solving the problem that thermal damage and signal consistency are difficult to consider in acoustic imaging of complex structural parts. Through partition energy threshold setting, dynamic pulse planning, photoacoustic processing and unified coordinate cross-subarea data synthesis, local thermal damage caused by excessive concentration of energy is effectively avoided in the material detection process, and the requirement for collecting high-bandwidth signals can be met in a large range. The signal-to-noise ratio and the detection efficiency are improved by regulating and controlling pulse energy and a scanning path, the amplitude comparability and the image coherence among regions are ensured through signal normalization correction and subregion image set splicing, high-resolution and comprehensive-coverage acoustic mapping is output, the crystal orientation defects of the single crystal turbine blade are positioned and evaluated, the detection precision is improved, the measurement period is shortened, and the method is suitable for large-scale popularization and application. And the method has an applicable value for aero-engine parts requiring rapid and high-precision nondestructive detection.

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.

The invention discloses a self-adaptive optical lens curved surface optimization processing method based on machine learning, and the method comprises the steps: generating an optimal target curved surface which is easy to process based on the optical performance and manufacturability criterion through employing a first machine learning model; after the current surface shape error is obtained through machining and measurement, modeling is conducted on the non-linear and space coupling effect in the machining process through a second machine learning model, so that an optimal compensation machining scheme is predicted and determined; compensation processing is executed, and iterative circulation is carried out until the surface shape error is converged to a preset threshold value; according to the method, the processing convergence can be improved from the source, high-precision intelligent error compensation is realized, and the manufacturing efficiency and the yield of high-end optical elements are expected to be improved.

The invention belongs to the technical field of optical calculation, and discloses an error-adaptive optical diffraction neural network in-situ training method, which comprises the following steps: based on the phase of each phase modulation layer, calculating the light field complex amplitude Uk of the input sample complex amplitude on the rear surface of each phase modulation layer and the light field complex amplitude Uo of the input sample complex amplitude on an output plane after forward propagation; calculating an error light field P based on Uo, carrying out three-dimensional central symmetry on a back propagation light path of the error light field P without changing the phase distribution of each phase modulation layer, and calculating the light field complex amplitude of the complex amplitude of the symmetrical error light field on the front surface of each phase modulation layer after forward propagation; the method comprises the steps of obtaining the light field complex amplitude Un + 1-k'of P back propagation to the rear surface of each phase modulation layer, calculating the gradient related to a loss function based on Uk and Un + 1-k 'so as to carry out updating, and carrying out the next round of training until a preset training round or loss convergence is reached. The method can adapt to errors existing in an optical system.

The invention discloses a self-adaptive optical system parameter adjusting method and device combining offline pre-training and online reinforcement learning, and belongs to the field of intelligent control combining self-adaptive optics and reinforcement learning. Multi-modal state modeling, off-line strategy pre-training and an online strategy enhancement mechanism guided by behavior advantages are introduced, and key control parameters in the AO system are dynamically optimized by using a reinforcement learning algorithm. According to the method, multi-modal heterogeneous data can be effectively integrated, the dynamic modeling and prediction capability of the system is improved, and stable, efficient and robust control strategy updating is realized.

The invention relates to a self-adaptive optical matrix calculation acceleration method based on an ARM framework, and belongs to the field of self-adaptive optical wavefront correction technology and embedded parallel calculation. The method comprises the following steps: analyzing a mathematical mapping relationship between a microlens array and wavefront phase distribution in a Hartmann sensor image, and constructing a wavefront matrix operation model based on an ARM multi-core architecture; designing a Hartmann image data rearrangement strategy, dividing a single-frame Hartmann image into multiple task calculation units, and realizing parallelization processing of wavefront slope calculation; a wavefront matrix operation kernel is optimized according to ARM NEON instruction set characteristics, and vectorization calculation of multi-channel wavefront reconstruction is realized by adopting an SIMD parallelization technology; and computing resource allocation is coordinated through a dynamic thread scheduling algorithm, and the task allocation proportion among multiple cores is adjusted according to the real-time load condition. According to the method, the wavefront calculation efficiency is remarkably improved, so that the overall bandwidth of the adaptive optical system is greatly improved.

The invention discloses a large-field-of-view high-resolution fundus imaging system and method, and belongs to the field of adaptive optical imagines.The large-field-of-view high-resolution fundus imaging system is characterized in that light of a light source is divided into multiple beams by a beam splitter, and the multiple beams of light enter human eyes through a first spectroscope and an aberration correction module to be reflected by fundus; the multiple beams of reflected light carry respective small-view-field human eye aberrations, pass through the aberration correction module and are reflected by the first spectroscope to reach the confocal detection module; the confocal detection module collects small-view-field human eye aberration of the multiple beams of reflected light to generate multiple image signals and evaluates the aberration according to the quality of the multiple image signals so as to generate feedback signals to drive the aberration correction module to carry out aberration correction on the multiple beams of reflected light at the same time until the system reaches the diffraction limit. The large-view-field high-resolution fundus imaging system can synchronously correct aberration of different view fields, the aberration correction time is shortened, and the overall imaging speed is increased.

The invention discloses a self-adaptive optical polishing system and method based on dynamic temperature control and multi-modal detection, and relates to the technical field of intelligent manufacturing and precision machining.The optical polishing system comprises a dynamic temperature control and multi-modal detection module, a flexible execution mechanism, a closed-loop control and optimization module and a cross-scale collaboration and generalization module; the method has the advantages that the temperature field, surface appearance and microcrack signals of a polishing area are monitored in real time through the dynamic temperature control and multi-mode detection technology, thermal deformation is rapidly compensated in combination with a flexible execution mechanism, the problem that the surface shape precision is reduced due to temperature rise in a traditional technology is effectively solved, and the polishing quality is improved. Multi-dimensional defects in the polishing process can be comprehensively captured through cooperative work of the multi-mode sensor, the defect detection sensitivity and the process stability are remarkably improved, and the machining quality of the high-precision optical element is ensured.

The invention relates to a non-contact high-precision pipe network damage detection system, which relates to the technical field of underground pipe network detection, and comprises a bimodal sensing unit, a data processing unit, a self-adaptive optical unit, a protective shell and a power management module. Through cooperation of the infrared thermal imaging module and the laser scanning module, millimeter-level precision can be realized, a visible light camera or a near-infrared camera can be automatically switched according to environmental turbidity through arrangement of a light filtering switching mechanism, clear imaging in a turbid water body can be ensured, and through a built-in FPGA chip of the data processing unit, the data processing unit can be used for realizing high-definition imaging of the visible light camera or the near-infrared camera. Through cooperation of the bimodal sensing unit, the data processing unit and the adaptive optical unit, temperature field and point cloud data can be synchronously acquired, after fusion, + / -3mm damage positioning precision can be realized, and when the turbidity is greater than 200NTU, high reliability can still be maintained, the detection efficiency can be improved, and the detection precision can be improved. And the risk of manual underwater operation is thoroughly avoided.

The invention relates to a printed circuit board solder resisting method, which is characterized in that distinguishable miniature passive synchronous marks are preset in a PCB design stage, and optical phase coding is combined, so that multi-dimensional physical identifier embedding and automatic parameterization layout design are realized. Before and after exposure, a high-speed imaging detection and self-adaptive optical algorithm is adopted, phase response of multiple layers of synchronous marks is collected and normalized, multi-dimensional alignment reference features are extracted, a distribution alignment error model is established, overall rigid displacement and local stress deformation are distinguished, exposure equipment parameters are corrected in real time based on the model, and space error compensation is achieved.

Method for manufacturing an optical component (1) using laser radiation, comprising the following process steps: - Generation of a structure in the material of the component (1) which gives the component (1) an optical functionality, wherein the optical functionality of the component (1) is that of an optical grating, in particular a fiber Bragg grating, an aperiodic fiber Bragg grating, a long-period grating or a bulk Bragg grating, - Determination of deviations of the generated structure in the material of the component (1) from specified target parameters, wherein the specified target parameters determine a central operating wavelength and / or a dispersion of the component (1), - Modification of the refractive index in the material of the component (1) by means of laser beams in a pre- and / or post-processing step, i.e. before or after the creation of the structure, in order to correct the deviations from the specified target parameters, characterized in that in the pre- and / or post-processing step a beam shaping of the laser radiation directed on the component (1) takes place in order to generate a spatially variable modification of the refractive index in the material of the component (1), wherein the beam shaping is carried out by means of an adaptive optics (4) which dynamically controls the wavefront and intensity profile of the laser radiation in order to flexibly address local deviations in the material of the component (1) individually.

An adaptive optical obfuscation system is disclosed and configured for blocking electronic detection and providing visual concealment for at least one object relative to at least one image sensor. In at least one embodiment, at least one obfuscation device is positioned between the at least one object and the at least one image sensor. The at least one obfuscation device provides at least one light emitter that emits a light emission at a wavelength that creates a controlled optical interference field preventing the at least one image sensor from accurately capturing an image of the at least one object. A microcontroller is in electrical communication with the at least one light emitter for controlling the at least one light emitter, and a power source is in electrical communication with each of the at least one light emitter and microcontroller.

A method for treating near-retina floaters includes dilating a pupil of an eye of a patient to at least 6.6 millimeters (mm). While the pupil is dilated to at least 6.6 mm, the method further includes emitting, by an optical delivery system, a plurality of pulses from a treatment laser into the eye of the patient, each pulse of the plurality of pulses having a diameter upon passing through the pupil that substantially fills the pupil and having a focus within 3 mm of a retina of the eye of the patient. Pulses may pass through adaptive optics that may be adjusted based on light emitted from the eye, such as two-photon fluorescence or second harmonic radiation, in order to reduce spot size at the focus.

This invention relates to the field of laser processing technology, and discloses a method and system for femtosecond laser three-dimensional surface processing based on adaptive optics. The method includes: spatial topology reconstruction of the original point cloud data of the workpiece to be processed to obtain a three-dimensional digital surface; row spacing planning and optimization of the three-dimensional digital surface to obtain a spatial processing trajectory, and point wavefront mapping of the spatial processing trajectory to obtain pre-compensated phase distribution data; optical field distortion analysis of the surface reflected light signal of the workpiece to be processed to obtain the actual wavefront phase; encoding the pre-compensated phase distribution data into an initial wavefront control command for a beam shaping device, and iteratively optimizing the initial wavefront control command to obtain a wavefront supplement signal; and updating the spatial processing trajectory by combining the real-time contour data of the workpiece to be processed. This invention can improve the efficiency of femtosecond laser three-dimensional surface processing based on adaptive optics.

The application relates to a method for optimizing multimodal imaging and a multimodal imaging system. Based on the multimodal imaging system, an optical coherence imaging module converts collected optical coherence imaging signals into interference photoelectric signals, an optical phase extraction module calculates a wavefront phase diagram according to the interference photoelectric signals, and an adaptive signal processing module generates a driving signal according to the wavefront phase diagram, so that a spatial light modulator in an adaptive optical module is dynamically controlled, the spatial light modulator dynamically adjusts the wavefront phase of incident laser, higher-precision wavefront distortion compensation is realized, and the imaging quality of the multimodal imaging is optimized. The method utilizes the deep penetration and layer cutting capabilities of the optical coherence imaging mode, simultaneously has full field of view and high-speed regulation and control capabilities, accurately adjusts the phase, and realizes adaptive optimization. The method provided by the application improves the overall imaging effect of the multimodal imaging, and promotes the wide application of the multimodal imaging system in the fields of disease detection and scientific research.

The application relates to the technical field of adaptive optics and intelligent material application, and discloses a liquid lens continuous zooming method and system based on programmable control, which comprises the following steps: temperature adjustment is performed on a phase change container to switch the phase change container from a glass state to a high-elasticity state; the volume of an optical medium is adjusted to drive the phase change container in the high-elasticity state to deform until the phase change container reaches a target optical appearance; temperature adjustment is performed on the phase change container to switch the phase change container from the high-elasticity state back to the glass state to lock the target optical appearance, and passive self-locking of the focal length is realized. Through the combination of the glass transition characteristics of the shape memory polymer and the precise regulation and control of the volume of the optical medium, the continuous zooming and passive self-locking of the liquid lens are realized, the problem that the traditional liquid lens needs to continuously consume electric energy to maintain the focal length is effectively solved, and the optical appearance precision and long-term stability of the lens in a complex environment are ensured.

The application discloses a self-adaptive optical polishing system and method based on dynamic temperature control and multi-modal detection, and relates to the technical field of intelligent manufacturing and precision machining.The optical polishing system comprises a dynamic temperature control and multi-modal detection module, a flexible actuator, a closed-loop control and optimization module, and a cross-scale coordination and generalization module.The application has the following advantages: through the dynamic temperature control and multi-modal detection technology, the temperature field, surface topography and micro-crack signals of the polishing area are monitored in real time;the thermal deformation is quickly compensated by the flexible actuator;the problem of surface shape precision decline caused by temperature rise in the traditional process is effectively avoided;the multi-modal sensors work cooperatively to comprehensively capture multi-dimensional defects in the polishing process;the defect detection sensitivity and process stability are significantly improved;and the machining quality of high-precision optical elements is ensured.

The adaptive optical module (38) has at least one actuator (36-1) for changing the shape of the optical surface (32) of the optical module. The actuator comprises a dielectric medium (48) deformable by an electric field (55), and an electrode (54) for generating the electric field in the dielectric medium by applying an operating voltage (60). The adaptive optical module further comprises a measurement device (70) configured to measure an impedance (80) present between the electrodes at different values of the operating voltage as a function of a frequency (76) of an AC voltage (74) applied to the electrodes for measurement purposes, and an evaluation device (84) configured to evaluate the frequency (76) of the AC voltage (74) applied to the electrodes at different values of the operating voltage. The evaluation device (84) is configured to approximately determine a gradient value (86) for each of the characteristic curves (82) from the measured impedance, each characteristic curve (82) representing a capacitance (81) of the actuator as a function of frequency for a different value of the operating voltage, and to determine a deflection (42-1) of the actuator at at least one operating point of the operating voltage from said gradient values (86).

The invention discloses a fine tracking detection optical path system of a laser communication terminal, which relates to the technical field of laser communication and comprises an optical signal detection module, an optical path offset analysis module, a compensation control module, an environment adaptation module, a performance evaluation module, a data storage and management module and a user interaction module. According to the system, light spot position deviation data are collected in real time through the optical signal detection module, the offset and the trend are calculated through the optical path offset analysis module, then the compensation control module generates the control instruction to drive the self-adaptive optical element to conduct real-time compensation and alignment, signal noise caused by environmental interference can be effectively restrained, and the accuracy of the system is improved. Rapid and accurate prediction and compensation of optical path offset are realized, and the tracking stability, the alignment precision and the system adaptive capability of the laser communication terminal under dynamic interference are improved.

Conformal imaging vibrometer using adaptive optics with scene-based wave front sensing. An extended object is located at the first end of a link, and a reference-free, adaptive optical, conformal imaging vibrometer using scene-based wave front sensing is located at the second end of the link. An aberrated, free space or guided-wave path exists between the ends of the link. The adaptive optical system compensates for path distortions. Using a single interrogation beam, whole-body vibrations of opaque and reflective objects can be probed, as well as transparent and translucent objects, the latter pair employing a Zernike heterodyne interferometer.

The invention provides a self-adaptive optical compensation method and system for fruit sorting equipment, relates to the field of optical compensation, and solves the technical problem of illumination attenuation caused by aging of an LED light source along with time, temperature change and pollution of optical components in existing fruit sorting equipment. The method comprises the following steps: acquiring initial brightness and current temperature of a fruit sorting environment, and establishing a temperature compensation model of light source attenuation; background images of a fruit sorting environment are collected, and the average gray value of the background images is calculated; calculating a light source state index of the fruit sorting environment based on a temperature compensation model, the current average gray value and the current light source temperature; generating a compensation parameter for an image acquisition device according to the light source state index and the type of the current to-be-sorted fruit; and obtaining a corrected compensation image based on the compensation parameter. The invention is used in the optical compensation process.

A multiplexing adaptive optics method for deep-tissue imaging is provided, comprising: providing a first optical beam and a group of second optical beams, each with lower intensity and distinct modulation frequencies; combining the beams with temporal overlap to form a composite excitation beam; focusing the composite beam into a sample such that the second optical beams are laterally separated in the focal plane; detecting a signal excited by the composite beam; demodulating the signal with reference frequencies to compute phase and amplitude data at each modulation frequency and obtain a second signal; performing spatial measurements of the first beam relative to the second beams to derive down-sampled electric-field point spread functions; and merging the functions to reconstruct a full-sampled point spread function for identifying and correcting optical aberrations within the sample.

The application relates to a printed circuit board solder resist method, which realizes multi-dimensional physical mark embedding and automatic parameterized layout design by presetting distinguishable micro passive synchronous marks in the PCB design stage and combining optical phase coding. Before and after exposure, high-speed imaging detection and adaptive optical algorithms are used to collect and normalize the phase response of the multi-layer synchronous marks, extract multi-dimensional alignment reference features, establish a distributed alignment error model, distinguish the overall rigid displacement and local stress deformation, and based on the model, real-time correct the exposure equipment parameters to realize spatial error compensation.

The invention discloses a neural network enhanced wavefront sensing method and system based on a metasurface and double-helix PSF coding, and the method comprises the steps: loading a preset reference phase diagram and a to-be-measured phase diagram on unmodulated parallel light through a spatial light modulator, thereby generating a reference wavefront and a to-be-measured wavefront; mutually orthogonal double-helix phase distribution is generated by using the polarization multiplexing super-structure surface, and a reference double-helix point spread function image and a to-be-measured double-helix point spread function image are obtained; and outputting a phase distribution matrix of the wavefront to be measured by using the self-calibration dual-encoder neural network to realize synchronous reconstruction of the dual-channel wavefront. The method can realize high-resolution real-time wavefront measurement under single exposure, has high robustness and expandability, and is suitable for the fields of adaptive optics, polarization imaging, optical communication and the like.

The utility model discloses a two-piece optical athermalization lens which comprises a first lens and a second lens which are sequentially arranged from the object side to the image side along the optical axis, the first lens is a meniscus negative lens with the convex face facing the object side, the second lens is a biconvex lens, the focal length of the lens is f, the focal length of the first lens is f1, and the focal length of the second lens is f2, the curvature radius of the intersection point of the object side surface of the first lens and the optical axis is R1, the curvature radius of the intersection point of the image side surface of the first lens and the optical axis is R2, the curvature radius of the intersection point of the object side surface of the second lens and the optical axis is R3, and f, f1, f2, R1, R2 and R3 meet the following relations:-5.6 < f1 / f <-4, 0.6 < f2 / f < 1.2, 1.3 < R1 / R2 < 2.5, and 4.4 < R3 / R1 < 5.4. The athermalization lens can realize the characteristic of temperature self-adaptive optical athermalization, is simple in structure, small in size and light in weight, and can meet the use requirements of a miniaturized uncooled infrared optical system. The utility model further discloses an imaging device.

The invention relates to the technical field of biomedical engineering, and discloses a detection method for esophageal squamous carcinoma CTC enrichment and immunotherapy curative effect dynamic evaluation, and the method utilizes a micro-fluidic chip to carry out electrical impedance detection and physical preliminary screening on cells in a whole blood sample. And performing anti-reclosing time sequence verification on the screened interstitial circulating tumor cells, triggering transient flow resistance regulation and control when conditions are met, and opening a lateral shunt channel to reduce the flow velocity of a main flow channel. And meanwhile, the adaptive optical imaging unit is synchronously switched to a long integral time mode to collect a fluorescence image. And finally, the data calculation terminal calculates an immunotherapy curative effect evaluation index in combination with cell counting, an omission compensation item and PD-L1 expression intensity. Through synchronous linkage of the flow velocity and exposure, the problem of weak fluorescence signal detection under high-speed flow is solved, and the evaluation accuracy is improved.