214 results about "Holographic imaging" patented technology

The invention belongs to the technical field of underground engineering unfavorable geological disaster prediction and intelligent control, and provides a tunnel unfavorable geological physical field-hydrological field fusion holographic detection method and system. Detection information of various physical fields such as an induced electric field, a seismic electric field, a natural electric field and a hydrological field is used as a fusion data source; establishing a coupling objective function taking cross gradient inversion as a physical constraint condition; a CNN-GNN-Transform hybrid network is constructed, and multi-level feature fusion is carried out; through contribution of physical constraint conditions in a self-adaptive weight dynamic balance coupling objective function and deep learning data driving feature learning capability of a hybrid network, multi-field holographic interpretation with a hybrid deep learning model as a carrier is realized, and the fusion degree of multi-source heterogeneous data is improved. Three-dimensional holographic imaging and water gushing prediction of a water gushing disaster source can be achieved, and the accuracy of unfavorable geological disaster detection and the reliability of intelligent decision making are improved.

The invention discloses a total-space near-far field regulation and control method based on a coherent pixel super-structure surface. The method comprises the following steps: 1) constructing a nano-structure unit and a super-unit; 2) optimizing the structural parameters of the nano-structure unit according to the incident light wavelength lambda, and verifying the regulation and control effects of the super-unit I and the super-unit II; and 3) constructing a nano-structure array, wherein the nano-structure array comprises a plurality of super-units I and super-units II. Left-handed / right-handed circularly polarized light is set to be incident to the surface of the single-layer metastructure, binary nano printing of an image is achieved in a near field, and near-field nano printing intensities in a transmission space and a reflection space are complementary; different holographic patterns are respectively presented in the far-field transflective space, and the far-field transflective channels are regulated and controlled by mutually independent and continuous phases. By properly designing the single-layer nano brick, continuous and independent phase control of reflection and transmission spaces can be realized without additional equipment, far-field holographic imaging and near-field nano printing can be realized, and the single-layer nano brick can be applied to the fields of depth detection, three-dimensional imaging, optical encryption, high-resolution image storage and the like.

The invention discloses a micro-scale tin soldering device and method for ultrasonic laser composite energy field coordinated regulation and control. The micro-scale tin soldering device comprises a coordinated energy output module, a multi-physical field monitoring module, a wire feeding module, an intelligent regulation and control system and a motion platform, and a workpiece to be welded is arranged on the motion platform; the collaborative energy output module comprises a laser unit, an ultrasonic vibration unit and a focusable focus lens, the ultrasonic vibration unit comprises an ultrasonic generator, and the multi-physical field monitoring module comprises an infrared thermometer, a high-speed holographic imaging system and an acoustic impedance sensor; the high-speed holographic imaging system is used for recording brazing filler metal molten pool flowing and IMC nucleation dynamic states; the acoustic impedance sensor monitors the ultrasonic energy transmission efficiency; the intelligent regulation and control system is electrically connected with the multi-physics field monitoring module, and a multi-physics field coupling prediction model based on an LSTM neural network is arranged in the intelligent regulation and control system. According to the technical scheme, the structural design is reasonable, the energy field coupling efficiency is high, the material adaptability is high, the structure performance is controllable, the defect rate is remarkably reduced, and practicability is good.

The invention relates to the technical field of human body breathing micro-motion modeling and holographic imaging, and particularly discloses a radar human body breathing micro-motion 4D modeling and high-resolution holographic imaging method, which is characterized by comprising the following steps of: performing irradiation perception on a human chest target by adopting a multiple-input multiple-output plane radar array; a thoracic cavity target is regarded as a'vector signal source ', namely the thoracic cavity target is equivalent to a set of scattering points of which the spatial positions are mutually discrete; in the geometric model, a graphical representation 3D space coordinate system is established by taking the center of a radar array as an original point and a plane where the array is located as an XOZ plane. According to the radar human body breathing micro-motion 4D modeling and high-resolution holographic imaging method, the micro-Doppler principle is combined, and the micro-Doppler information of each scattering point in the fourth dimension, namely the slow time dimension, is obtained based on the phase decomposition and extraction technology, so that 4D precise reduction of the fluctuation process of the thoracic cavity of the human body is realized.

The invention provides a three-dimensional holographic imaging method. The method comprises the following steps: loading a holographic pattern to be imaged to a spatial light modulator; modulating a preset laser source by using a spatial light modulator loaded with a holographic pattern to form a first wavefront with initial phase information; carrying out primary scattering on the first wavefront by adopting a first turbid medium lens to form a second wavefront; compensating the second wavefront by adopting a metasurface compensation unit to form a third wavefront; after a second turbid medium lens is adopted to carry out secondary scattering on the third wavefront, a holographic imaging system is utilized to carry out imaging; wherein the metasurface compensation unit is determined according to a transmission matrix of the first turbid medium lens and a transmission matrix of the second turbid medium lens. The imaging view angle can be effectively increased, and the space bandwidth product can be improved.

The invention discloses a super-resolution phase reconstruction method and device, and relates to the field of digital holographic microscopic measurement. The objective of the invention is to solve the problem of low phase reconstruction precision caused by inaccurate registration and splicing of spectrum sub-apertures in existing super-resolution digital holographic imaging. According to the algorithm provided by the embodiment of the invention, accurate position distortion correction and synthesis of frequency spectrum sub-apertures can be realized, and the precision of frequency shift digital holographic super-resolution phase reconstruction is greatly improved; according to the algorithm provided by the embodiment of the invention, the dependence on the mechanical control precision is greatly reduced, the flexible frequency shift operation of any offset is supported, and the hardware cost and the experiment difficulty are reduced.

The invention discloses a multispectral holographic imaging system and an imaging method. The system comprises a multi-wavelength light source module which is composed of a plurality of light source assemblies which are independently driven and have different wavelengths; the optical fiber coupling module is composed of a plurality of optical fiber bundles which are connected with the emergent end face of the light source assembly and used for restraining optical signals of the light source assembly as point light sources. Light signals of the light source assembly are constrained to the light emitting area to form an equivalent point light source; the image acquisition module comprises a sample jig and an image sensor which are coaxially arranged with the emergent end face of the optical fiber bundle, and the image sensor is used for acquiring spectral interferograms of the object light and the reference light; and the control processing module is used for sequentially controlling the switching of each wavelength light source assembly, analyzing and processing a plurality of spectral interferograms, and reconstructing the three-dimensional morphology of the sample through an angular spectrum diffraction algorithm. The problems of aberration, field depth limitation, view limitation, complex structure, high cost, resolution limitation and the like in the traditional microscopic imaging technology can be solved.

The invention provides a tool parameter dynamic matching method and device based on deep learning, and relates to the field of data processing. The method comprises the following steps: acquiring laser holographic imaging data and three-dimensional contour scanning data of a machine tool cutting area at a target timestamp; according to the laser holographic imaging data and the three-dimensional contour scanning data, holographic voxel data and cutting point cloud data are determined; inputting the holographic voxel data and the clipping point cloud data into a four-dimensional grid containing a target timestamp to obtain a four-dimensional snapshot sequence; acquiring a first cutter parameter of the machine tool cutter at the target timestamp; and inputting the four-dimensional snapshot sequence and the first cutter parameter into a preset deep learning causal hypernet to generate a second cutter parameter. By implementing the technical scheme provided by the invention, the cutter parameters can be dynamically matched during machining of the numerical control machine tool.

The invention relates to the field of network public opinion management and control, in particular to a cross-modal network emergency command system based on a network space model. The method comprises the following steps: acquiring a network public opinion multi-modal data stream, positioning a malicious public opinion propagation source account based on the network public opinion multi-modal data stream, and performing network space cross-layer holographic portraying based on the malicious public opinion propagation source account to generate a source account holographic portraying information set; on the basis, multi-modal feature extraction and network space behavior model construction are carried out on hidden negative guidance behaviors, and an implicit negative information propagation mode model is generated; on the basis, potential malicious account active tracking and risk propagation network mining are carried out, and a potential risk propagation network information set is generated; on the basis, multi-level differential intervention strategies are generated and executed, and a network public opinion intervention strategy instruction set is generated. In the network public opinion emergency command process, pollution of false information to network space is reduced, and construction of healthy and sustainable network ecology is assisted.

The invention provides an infrared induction intelligent interactive projection large screen and ground screen holographic device, and relates to the technical field of intelligent display interaction. The equipment is composed of a large projection screen, a ground screen, an infrared induction device, a data processing host, a feature extraction and intention recognition module, an environment perception and adaptive adjustment module and an intelligent feedback and multi-mode interaction fusion module, and the large projection screen is used for displaying holographic images and has the functions of high brightness, wide color gamut and touch control; the ground screen is made of a transparent holographic imaging material, can synchronously display interaction information and has a touch sensing function, and the infrared sensing device captures three-dimensional action information of a user through an emitter and a receiver which are arranged in a matrix mode. The problems that a traditional display device is poor in interaction experience and single in display effect are solved, natural and smooth long-distance human body action interaction and immersive visual experience are achieved, and the system is suitable for many fields such as science and technology exhibition, commercial exhibition and intelligent education.

The invention relates to an AI interaction system and method for a multi-modal fusion holographic image. Comprises: a voice interaction module for converting an obtained voice of a user into a text by using a preset SR automatic voice recognition technology, and generating a natural voice reply for the converted text through a preset TTS voice synthesis technology; the image recognition module is used for recognizing animal and plant types, scene features or target objects in the input image of the user based on a preset deep learning model; the AR / VR module is used for fusing virtual information with a real scene in the image recognition module through an augmented reality or virtual reality technology to generate an interactive three-dimensional scene; and the data fusion engine is used for integrating and analyzing the data of each interaction module to generate a collaborative response strategy. Through the multi-modal fusion and holographic image technology, natural switching of interaction modes, efficient and three-dimensional information transmission and full-scene self-adaption are achieved, and man-machine interaction experience and task completion efficiency in a complex scene are remarkably improved.

The present invention relates to an automatic real-time label-free holography-activated sorting of the cell's technique. The technique provides high-discriminative power on the level of the individual cell. The technique includes rapid automated cell processing during cell visualization and flow, with high discriminative power on the level of the individual cell. The technique may be useful in detection of cancer and to identify different stages of oncogenesis.

The application relates to an online monitoring device and method for microelectrodes, and belongs to the technical field of special machining.The online monitoring device is composed of a coaxial holographic imaging module, an LED backlight imaging module, a motion control module, an image acquisition card, a laser power controller and an LED brightness controller.The LED backlight imaging module is used for positioning the microelectrode image; the coaxial holographic imaging module is used for holographic interference imaging of the microelectrode; based on a holographic reconstruction algorithm, electrode profile information is obtained, and the electrode loss degree is judged.The coaxial holographic imaging module and the LED backlight imaging module switch the positions of the reflecting mirrors through the motion control module to realize control of different imaging modes; the collected images are input into a PC through the image acquisition card, image algorithm analysis is carried out, and the microelectrode loss degree is judged.The application realizes online monitoring of the microelectrode loss.

This invention discloses a holographic autofocusing method based on spatial-frequency domain hierarchical feature extraction. The proposed holographic autofocusing scheme, employing a dual-branch sensing strategy in both the spatial and frequency domains, achieves significant beneficial effects. This invention utilizes statistical information for dynamic soft-threshold filtering and employs a dual-branch architecture to explicitly decouple high-frequency diffraction residual information in the spatial and frequency domains. The synergistic effect of these two approaches enables the network to adaptively suppress background interference, thereby accurately capturing frequency features closely related to the defocus state and achieving high-precision, high-stability autofocusing in holographic imaging scenarios.

The invention provides a medium-free holographic imaging device and a control method thereof. The medium-free holographic imaging equipment comprises a medium-free holographic imaging assembly which is used for generating a suspended medium-free holographic image in a preset imaging area, and the medium-free holographic image comprises a plurality of interaction areas which can be operated by a user; and a sensor assembly including a plurality of first sensors for generating first perceptual data about the execution body when a user operates the interaction region of the media-free holographic image through the execution body, where emitted beams of the plurality of first sensors are parallel to the media-free holographic image and a distance from the media-free holographic image is less than a threshold. By configuring the first sensor, the position determination of the execution main body of the user operating the interaction area in the three-dimensional space can be converted into the two-dimensional position determination of the interaction area in the medium-free holographic image, the position of the interaction area can be determined without a complex gesture recognition model, the calculation complexity is reduced, and the interaction efficiency is improved.

The application provides a kind of deep learning method for nonlinear holographic imaging, by acquiring the corresponding real nonlinear holographic image of paired structure contour image, constitute data training set;Image generation model based on conditional generative adversarial network is constructed, including preprocessing module, generator and discriminator, the input structure contour image is preprocessed by preprocessing module, and the predicted holographic image is generated, the real holographic image and the predicted holographic image are respectively spliced with the corresponding structure contour image and then input to the discriminator to distinguish true and false;A hybrid loss function for constraining the difference between the generated image and the real image is constructed;Get the trained image generation model;The structure contour image to be predicted is input into the trained image generation model, and a nonlinear holographic image is obtained;This method can realize more sufficient feature extraction and texture learning, and can efficiently realize high-precision prediction and generation of target holographic image.

The present application belongs to the technical field of underground engineering unfavorable geological disaster prediction and intelligent control, and provides a tunnel unfavorable geological physical field-hydrological field fusion holographic detection method and system, which uses multi-physical field detection information such as induced electric field, seismic electric field, natural electric field and hydrological field as fusion data source, establishes a cross gradient inversion as a coupling objective function with physical constraint conditions, constructs a CNN-GNN-Transformer hybrid network for multi-level feature fusion, dynamically balances the contribution of the physical constraint conditions in the coupling objective function and the deep learning data-driven feature learning ability of the hybrid network through adaptive weight, realizes multi-field holographic interpretation based on the hybrid deep learning model, improves the fusion degree of multi-source heterogeneous data, can realize three-dimensional holographic imaging and water gushing prediction of sudden water gushing disaster source, and improves the accuracy of unfavorable geological disaster detection and the reliability of intelligent decision-making.

The application discloses a holographic multiplexing imaging method based on Kramers-Kroning relation, relates to the field of high-throughput multi-channel multiplexing digital holographic imaging technology, and is based on the quantitative phase measurement and the improvement of the space-bandwidth product; the holographic multiplexing imaging method based on Kramers-Kroning relation directly detects the complex amplitude field without any constraint; in addition, the holographic multiplexing imaging method can allow the target spectrum and other spectra to overlap without sacrificing the space-bandwidth and the time resolution, can realize the quantitative optical imaging without scanning, and provides a new way for significantly improving the application of digital holography and quantitative optical imaging.

The invention provides a distributed formation SAR satellite group multi-angle scattering characteristic spectrum measurement system and method. The distributed formation SAR satellite group multi-angle scattering characteristic spectrum measurement system comprises a satellite formation subsystem, a load collaborative observation subsystem, a signal processing subsystem and a spectrum construction subsystem, the satellite formation subsystem is used for constructing an initial satellite formation and dynamically reconstructing the initial satellite formation; the load collaborative observation subsystem is used for collaborative observation of multiple satellites on the same area; the signal processing subsystem is used for realizing distributed holographic imaging processing of multi-satellite echo signals; and the map construction subsystem is used for constructing a multi-dimensional space map. According to the invention, through the concentric ring-spiral composite formation configuration and in combination with the real-time dynamic optimization algorithm, continuous full coverage of the azimuth angle and the pitch angle of the three-dimensional space of the ground target is realized, and highly coincident irradiation of multi-star radar beams on the same ground feature area is ensured; the bottleneck of scattering feature capture caused by traditional formation angle discretization is fundamentally broken through.

The invention relates to a system (1) for digital holographic imaging, comprising at least the following components: a beam splitter (2) that defines four sides with a beam splitter surface (2a), a retroreflector array (3) that is arranged on the second or the third side (22, 23) and comprises a plurality of retroreflector elements (30), and a reference mirror (4) that is arranged on an adjacent side (23, 22) to the retroreflector array (3), wherein the system (1) is configured to impress wavelength-dependent phase shifts on object light (100) for each retroreflector element (3), said phase shifts being different for a plurality of retroreflector elements (3).

This application provides a dynamic tool setting device and method for diamond micro-end milling cutters, relating to the field of precision and ultra-precision machining technology. The method includes the following steps: acquiring a time-series pulse sequence of time-division multiplexing images; and performing tool setting detection on the diamond micro-end milling cutter based on the time-series pulses. This application utilizes the diffraction interference imaging principle of diamond micro-end milling cutters under coaxial laser illumination, employing object-side telecentric vision imaging to ensure a fixed holographic image magnification and microscopic imaging accuracy. By setting the camera trigger acquisition pulse through an external trigger controller via a host computer, the rotating image of the diamond micro-end milling cutter is sampled in a time-division multiplexing manner, achieving full-contour holographic imaging of the diamond micro-end milling cutter under rotating conditions. Simultaneously, by designing a downsampling holographic autofocus algorithm in holographic image processing, the computational load for image holographic reconstruction is reduced, accelerating the tool setting calculation efficiency and providing high-precision tool setting technology support for ultra-precision micro-milling.

The invention discloses a focusing method for synchrotron radiation X-ray nanometer coaxial holographic imaging, and belongs to the technical field of coaxial holography. The method realizes integrated control of optical path equipment through an EPICS, and comprises the following steps: building an optical path, initializing positions of a sample and a detector, and connecting a linear displacement table and the detector into an EPICS control system; a displacement table and a detector are synchronously controlled in real time through an EPICS to collect a hologram of a standard resolution target, and an optimal reconstruction distance is determined through automatic continuous equivalent distance scanning and an image definition recognition function; calculating an actual object-source distance and a geophysical prospecting distance by using the equivalent distance and the magnification; in the verification link, the hologram is recollected by adjusting the position of the sample or the detector, so that the imaging definition under different magnifications is ensured. According to the invention, the data acquisition and data processing speed, the focusing precision and the imaging quality in the focusing process are obviously improved, and the method is suitable for nanoscale microstructure research in the fields of material science, life science and the like.

This invention discloses a method for preventing accidental touch interaction based on media-free holography, specifically relating to the field of media-free holographic anti-accidental touch interaction. The method includes generating a media-free holographic image using a media-free holographic imaging device. The media-free holographic image contains a semantic interactive entity, which is composed of multiple interactive voxels or interactive planes. A camera mounted on the media-free holographic imaging device captures a facial image, and based on the facial image, the method identifies the facial position, facial orientation, facial size, and eye distance parameters to determine the spatial range of the face within the media-free holographic image. When the face is within the spatial range, a first duration is determined for the face to be within the spatial range. By introducing a pre-operation confirmation mechanism into a multi-level decision chain involving facial recognition, gaze tracking, spatiotemporal intent determination, and pattern comparison, the method verifies the user's true intent before the interaction is triggered.

The present disclosure provides a medium-free holographic imaging device and a control method thereof. The medium-free holographic imaging device comprises a medium-free holographic imaging assembly for generating a suspended medium-free holographic image in a preset imaging area, the medium-free holographic image comprising a plurality of user-operable interactive areas; and a sensor assembly comprising a plurality of first sensors for generating first perception data about a performing subject when the user performs a subject operation on the interactive area of the medium-free holographic image, wherein the emission beams of the plurality of first sensors are parallel to the medium-free holographic image and the distance between the emission beams and the medium-free holographic image is less than a threshold value. By configuring the first sensors, the position determination of the performing subject operating the interactive area in the three-dimensional space can be converted into the two-dimensional position determination of the interactive area in the medium-free holographic image, the position of the interactive area can be determined without a complex gesture recognition model, the computational complexity is reduced, and the interaction efficiency is improved.

This invention discloses a digital holographic 3D reconstruction system and method based on a single-cavity dual-optical comb, belonging to the field of digital holographic 3D measurement technology. The invention includes: a single-cavity dual-optical comb, a coarse wavelength division multiplexer, a first fiber amplifier, a second fiber amplifier, a first fiber filter, a second fiber filter, a first fiber beam expander, a concave mirror, a second fiber beam expander, a beam splitter, an image sensor, and a computer. The single-cavity dual-optical comb emits two pulses, which are split, amplified, and filtered. The measurement light and the reference light produce interference fringes, forming a hologram. This invention uses a single-cavity dual-optical comb as a light source to achieve the separation of the zero-order image, twin image, and target re-phenomenon in coaxial holography, improving the quality of holographic imaging and facilitating engineering implementation. Based on multi-wavelength heterodyne technology, combined with the wide spectral bandwidth and high temporal coherence of the optical comb, this invention suppresses the influence of noise, enabling the measurement of large-size objects and expanding the application scenarios of digital holography.

The present application relates to a kind of methods for eliminating the speckle of computer holography using phase probability control optimization algorithm, the key parameters of computer holographic image, the key parameters of computer holographic image include root mean square error of computer holographic image, standard deviation and optical efficiency, update cost function;Update mask phase, based on mask phase, use Rayleigh-Sommerfeld diffraction integral to calculate the diffraction from input surface to target surface, determine whether the holographic image of output surface contains speckle;If it contains speckle, the next iteration is carried out, and finally the holographic image without speckle is obtained.The present application can effectively eliminate the inherent speckle existing in computer holographic imaging, design and process the phase device for eliminating speckle using the proposed holographic optimization algorithm, and use it for holographic lithography, expand the practical application scenarios of computer holography technology.

In one embodiment, a device transmits data characterizing a holographic image to a physical environment. A visible rendering of the holographic image is created in the physical environment. The device uses a reasoning engine to make an inference regarding a state of the physical environment based on sensor data captured in the physical environment indicative of one or more real-time characteristics of the physical environment. In response to the inference, the device adjusts the holographic image. Then, the device transmits data characterizing the adjusted holographic image to the physical environment, and a visible rendering of the adjusted holographic image is created in the physical environment.

The invention relates to the technical field of acoustic imaging, in particular to a multiplexing acoustic holographic imaging device and method based on a mixed porous Helmholtz resonator metasurface. The metasurface antenna comprises an emission source, a receiving end and a metasurface, the emission source is a planar acoustic wave transducer and is used for emitting planar acoustic waves under working frequency; the receiving end is a microphone probe and is used for receiving sound signals in a sound field and carrying out sound field scanning and imaging; the metasurface is an array composed of a plurality of unit structures. Each unit structure is composed of four subunits which respectively correspond to four working frequencies; each subunit is a Helmholtz resonator filled with a porous medium; the emission source emits plane sound waves, stable sound field amplitude distribution is formed within a specific range of a metasurface reflection field through metasurface regular reflection, and the distribution corresponds to an acoustic holographic image. Compared with a traditional reflective multiplexing acoustical holography metasurface, the structure of the acoustic holography metasurface has the advantages that the manufacturing difficulty is remarkably reduced, and a complex optimizing process is also avoided through decoupling modulation of reflected sound waves.

This invention belongs to the field of digital holographic imaging and artificial intelligence technology, specifically a holographic particle recognition method based on EFPFNet. While maintaining the traditional holographic optical path structure, this invention addresses the problems of low target contrast, blurred edges, and strong background interference in micro-nano particle holograms. Unlike the traditional approach of directly transferring general target detection models, it proposes a neural network architecture specifically for holographic image features: employing an edge feature convolution (EFC) module and a particle focusing mechanism (PFM) module to enhance the perception of weak particle diffraction features and suppress complex background noise, respectively; and using simulation data generated based on a physical model as the training set, effectively solving the problem of scarce real labeled data. This method possesses high detection accuracy, high robustness, and excellent generalization ability, and can be applied to target detection scenarios such as biomedicine and industrial inspection without significantly increasing optical hardware costs or detection time.

The invention discloses a holographic remote interactive teaching system, and relates to the technical field of teaching systems, and the system comprises an integrated teaching system which comprises a three-dimensional dynamic capturing module, a holographic imaging module, an intelligent interactive processing module and a low-delay communication module. The three-dimensional dynamic capture module is used for collecting three-dimensional holographic data of teachers and students in real time, and the three-dimensional holographic data comprises multi-angle depth images and skeleton joint point data. According to the invention, natural eye contact, body language capture and real-time feedback between teachers and students are realized, a dynamic holographic image with a real space depth is generated, the immersion and interactivity of teaching are effectively improved, the problems of eye contact deficiency and student attention distraction in traditional video teaching are solved, and remote teaching is closer to real classroom experience.