91 results about "Adaptive optics" patented technology

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 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 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 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.

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 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.

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.

The invention discloses a system and method for smart manufacturing quality control with few-shot visual reasoning, wherein the system integrates optical sensing, structured illumination, and adaptive calibration with an artificial intelligence-based visual reasoning architecture. The system comprises a physical inspection device equipped with an adaptive optical sensing unit, a structured illumination unit, an embedded artificial intelligence processing unit, and an adaptive calibration unit. The artificial intelligence processing unit executes a few-shot visual embedding technique that generates feature representations from limited labeled samples. These feature embeddings are structured into a relational graph. A graph attention-based reasoning processor performs relational inference over this graph to identify defect type, severity, and spatial context with minimal training data. The adaptive calibration unit continuously monitors environmental conditions such as illumination, vibration, and temperature, and autonomously adjusts camera exposure, focus, and illumination intensity.

The invention discloses a medicine packaging bag printing quality control system based on dynamic tagging. The system comprises a multi-physical field sensor array, a microfluidic surface analysis chip, a dual-mode tagging device, a self-adaptive optical modulator, a nanoscale positioning mechanical arm, a full-spectrum imaging system, a 3D surface scanning module, an edge-cloud hybrid computing platform, a high-precision time synchronization module, a fault prediction sensor, an embedded block chain node and an industrial 5G gateway. According to the method, through multi-dimensional base material characteristic perception, Transform modeling and PPO optimization, real-time tagging execution, full-spectrum quality detection, fault prediction and block chain tracing, high-definition tagging, accurate positioning and low rejection rate are realized. The system adapts to complex base materials and high-speed production lines, remarkably improves defect detection sensitivity and production continuity, reduces data tracing cost, conforms to supervision standards, supports green manufacturing, has cross-scene universality, is low in debugging and adaptation cost, and provides an efficient and intelligent solution for the medicine packaging industry.

An optical apparatus includes a lens stack with an active lens and a passive lens. A magnitude of a negative optical power at a central portion of the passive lens is larger than a magnitude of a negative optical power at a peripheral portion of the passive lens. When it is detected that a focussing distance of a user is less than a first predefined threshold distance, a magnitude of a positive optical power to be produced in the active lens is selected, based on whether the user's gaze passes through the central portion or the peripheral portion of the passive lens. A magnitude of the positive optical power is smaller than the magnitude of the negative optical power at the central portion of the passive lens. A drive signal is generated to control the active lens to produce the positive optical power in the active lens.

An adaptive optical module has at least one actuator for altering a shape of an optical surface of the optical module. The actuator comprises: a dielectric medium, which is deformable via an electric field, and electrodes for generating the electric field in the dielectric medium by applying an electrical working voltage. The adaptive optical module further comprises a measuring device that measures an impedance present at different values of the working voltage between the electrodes depending on a frequency of an AC voltage applied to the electrodes for measurement purposes, and an evaluation device configured to ascertain from the measured impedance approximately a respective gradient value of characteristic curves each representing a capacitance of the actuator depending on the frequency for the different values of the working voltage and to determine therefrom a deflection of the actuator at at least one operating point of the working voltage.

This application provides a multimodal fusion-based safety lighting control system and method for gynecological examinations. This method is applied to intelligent gynecological diagnostic and treatment equipment in the field of biomedical engineering. It synchronously acquires visual images of the examination area, instrument operation status signals, and external control commands. The instrument operation status signals include the real-time distance and relative speed between the instrument tip and the biological tissue. Based on the visual images, an initial brightness target value is calculated, and near-field attenuation compensation is performed using the real-time distance and a preset reference table to generate basic lighting parameters. By judging the movement speed and reflectivity, anti-blur mode is superimposed, and anti-glare strategy optimization parameters are triggered, prioritizing responses to valid external commands. After the determined parameters are sent to the light source for execution, a new visual image is acquired and its quality is evaluated. If the image does not reach the optimization range, the parameters are adaptively adjusted and corrected. Using the scheme of this application, adaptive optical control can be driven by multimodal information fusion, thereby improving the accuracy of gynecological visual diagnosis.

The invention discloses an unsupervised reconstruction method for adaptive optical image restoration, which is applied to the technical field of astronomical observation and aims to solve the problem that in the prior art, the imaging resolution is reduced due to atmospheric turbulence in the observation of a ground-based solar telescope. According to the method, multi-frame blind deconvolution is creatively fused into an unsupervised deep learning framework, an encoder-decoder network is constructed to generate a potential clear image, meanwhile, a depth priori condition network is constructed to optimize a fuzzy kernel, and efficient recovery is achieved by solving network parameters and the multi-frame blind deconvolution problem through alternate iteration. A GCM model is introduced into a corrector to ensure stable convergence, and a BM3D algorithm is adopted in the denoising process. Compared with the prior art, the method does not need a large amount of training data, is high in generalization capability, is high in recovery quality, can process non-isoplanatic and multiband images, achieves the complementary advantages of a conventional algorithm and deep learning, is high in calculation efficiency, is high in practicality, and provides a more advanced and reliable image processing technology for the fields of astronomical observation and the like.

The invention belongs to the technical field of ultraviolet phototherapy, and discloses an ultraviolet treatment parameter generation system based on skin type automatic identification. Comprising a skin state sensing module used for generating a skin static holographic snapshot and triggering a micro-energy pre-irradiation action on a target skin area through the skin static holographic snapshot so as to obtain a photosensitive response dynamic set; the intelligent feature analysis module is used for obtaining a photosensitive skin feature-phenotype joint vector, performing multi-target deduction on the photosensitive skin feature-phenotype joint vector through a pre-constructed comprehensive evaluation criterion, and generating optimal spectral power distribution and an optimal dose matrix; the self-adaptive optical control module is used for driving the adjustable double-band light source to work and inverting effective ultraviolet energy actually reaching the corium layer to form steady-state treatment driving current; and the thermal safety monitoring and defending module is used for controlling the operation state of the adjustable double-band light source through the epidermal temperature field to realize individual differentiation treatment.

A laser system (100A, 100B) for modifying a sample (300) to form a modified region at a target location in the sample and a method (400, 500, 700) for laser modification a sample (300) using the laser system (100A, 100B) is disclosed. The laser system (100A, 100B) comprises: a sample receiving area (110) for receiving the sample (300); a laser light source (130) configured to provide a laser beam (140); a plurality of optical elements (150, 160, 170, 180, 190, 200) configured to direct the laser beam (140) from the laser light source (130) into the sample (300) when the sample (300) is received in the sample receiving area (120), the plurality of optical elements (150, 160, 170, 180, 190, 200) comprising: an objective lens (190) for focussing the laser beam (140) at the target location (300); one or more scan mirror (180a, 180b), wherein an orientation of the or each scan mirror (180a, 180b) is adjustable for adjusting an angle of the laser beam (140) at a rear pupil plane of the objective lens (190) to adjust a location of a focus of the laser beam (140) in the sample (300); and an adaptive optical element (160), adjustably configurable to correct for aberrations at the target location; wherein the adaptive optical element (160) is optically conjugate to the rear pupil plane of the objective lens (190); wherein the or each scan mirror (180a, 180b) is in a respective optical plane which is optically conjugate with the adaptive optical element (160). The method may comprise forming a first modification at a first target location in the sample, adjusting an angle of the or each scan mirror to adjust a location of the focus of the laser beam in the sample from the first target location to a second target location in the sample, and forming a second modification at the second target location.

The invention relates to an oil gas storage tank zero-energy-consumption temperature control system based on an asymmetric structure and a preparation method thereof, and belongs to the technical field of petrochemical engineering storage and transportation energy conservation. The system comprises a composite functional film attached to the surface of the metal outer wall of the oil and gas storage tank, and the composite functional film is composed of an anti-corrosion heat conduction bonding layer, a phase change energy storage buffer layer, a high-reflection flexible substrate layer and a dynamic asymmetric radiation refrigeration functional layer which are sequentially connected from inside to outside. A solid-liquid phase change material is packaged in the phase change energy storage buffer layer, and volume deformation is generated during phase change; the outer surface of the dynamic asymmetric radiation refrigeration functional layer is provided with a micron-sized asymmetric sawtooth structure, and the micron-sized asymmetric sawtooth structure comprises first slopes and second slopes which are arranged alternately. The device has the advantages that the dynamic adjustment of the inclination angle of the asymmetric sawtooth structure is driven by utilizing the volume deformation of the phase change material through a thermomechanical-optical coupling mechanism, the self-adaptive optical adjustment of high temperature and high radiation and low temperature and low radiation is realized, meanwhile, all-weather and zero-energy-consumption intelligent thermal management is realized, and the breathing loss of the storage tank is effectively inhibited.

The present application relates to the field of medical devices, in particular to an intelligent intraocular lens implant navigation system and method with adaptive optical calibration, comprising: a microscope module for collecting intraocular real-time image data; an adaptive optical system module connected with the microscope module for real-time evaluation of intraocular tissue optical aberration distribution and correction; a three-dimensional deep learning motion compensation module for predicting eye movement and compensating for micro-motion interference; a registration algorithm module for establishing spatial registration between OCT and intraocular imaging systems; an augmented reality projection module for superimposing registration guide lines on surgical microscope imaging; an intelligent intraocular imaging system for identifying intraocular tissue structure and instrument position, through multi-modal fusion perception, deep learning intelligent analysis, adaptive optical calibration and augmented reality guidance, precise implantation of intraocular lenses is achieved, and practical application shows that the lens implantation position accuracy can be improved to ±0.1mm.