409 results about "Real time imaging" patented technology

The invention relates to the technical field of PCB detection, and discloses a PCB defect detection method and system, and the method comprises the steps: collecting multispectral imaging data through an image collection module, and generating an original image data set; the defect analysis server receives the synchronous imaging data to construct a three-dimensional surface topology matrix; in combination with the original image data set and the real-time imaging data, performing multi-scale decomposition on the three-dimensional surface topological matrix, extracting texture features, positioning a defect region, outputting defect type space distribution features through a layered recognition model, and updating the original image data set; and dynamically calibrating the detection parameters according to the feature categories. The system comprises an image acquisition module group, a data transmission module, a three-dimensional modeling module, a defect identification module and a parameter calibration module. According to the scheme, the accuracy, comprehensiveness and efficiency of defect detection are improved, and the detection requirements of modern PCB production are met.

The invention discloses a medium-wave infrared pixel-level spectral polarization optical system, which belongs to the field of lenses and comprises a refraction lens group, a cold diaphragm, a super-structure micro-lens array and a medium-wave infrared quantum dot detector which are sequentially arranged along an incident light path, the super-structure micro-lens array comprises an object side micro-structure and an image side micro-structure; the image side microstructure is used for realizing focusing; the object side microstructure comprises a plurality of object side units which are periodically distributed; each object side unit comprises a polarization metal wire grating structure and a plurality of metasurface-microcavity structures; the polarization metal wire grating structure is formed by arranging metal wire gratings according to different directions so as to realize detection of different orthogonal polarization states; the metasurface-microcavity structure comprises a middle dielectric layer, distributed Bragg gratings located on the two sides of the middle dielectric layer and a metasurface columnar structure unit array embedded into the middle dielectric layer, and the metasurface columnar structure unit array is used for achieving filtering of light of different wave bands. The system has the advantages of good imaging quality, small size, real-time imaging and the like.

The invention relates to the field of ulcerative colitis, and discloses a multi-parameter monitoring system for evaluating the intestinal barrier function of ulcerative colitis, which is used for realizing the goal of automatically adjusting a treatment scheme according to a monitoring result by constructing a closed-loop feedback treatment system. According to the invention, by designing the nanoprobe of which the surface is modified with a specific binding element and combining with a swallowing capsule endoscopy, real-time imaging and molecular level dynamic tracking of the intestinal barrier are realized, genetically engineered bacteria are constructed to quantify intestinal permeability abnormality and local inflammation level, and an intestinal barrier function damage score and a disease progress prediction result are output; individual monitoring is achieved through transfer learning, ultrasonic elastography, optical coherence tomography, wearable equipment for measuring intestinal electric field impedance spectroscopy and other technologies are adopted, an intestinal wall mechanics-electrophysiology composite parameter set is obtained, and the evaluation accuracy is improved.

According to the spectrum-to-mass concentration imaging method and device based on physical mechanism deep learning provided by the invention, the actually measured spectrum and the reference spectrum of the pollution gas smoke plume are collected, the spectrum data set is constructed after differential processing, the meteorological data and the online mass concentration label are synchronously collected, and meanwhile, the spectrum-to-mass concentration imaging method and device based on physical mechanism deep learning are provided. A high-resolution gas absorption section is obtained and is convolved into a matrix; and constructing a deep learning model fusing a feature extraction module, an expanded least square module and a full connection module, taking the spectral data set, the meteorological data and the absorption cross section matrix as input, performing training in combination with labels to obtain an optimization model, and predicting the mass concentration of the target gas. According to the method, the problems of error accumulation, low calculation efficiency and poor interpretability caused by dependence on a complex physical model in a traditional method are solved, and high-precision, high-efficiency and interpretable real-time imaging of the mass concentration of the smoke plume of the pollution gas is realized.

The invention discloses a matrix transposition method of a DDR3 read-write controller based on an AXI4 bus. The matrix transposition method solves the problems that an existing transposition method is low in data access efficiency, serious in storage resource waste and poor in system portability. The method comprises the following steps: dividing an original echo matrix into a plurality of sub-matrix blocks, mapping and storing the sub-matrix blocks into a Bank of DDR3 to obtain a three-dimensional mapping result; reading data in each sub-matrix block in the three-dimensional mapping result by utilizing a DDR3 read control module, and writing the read data into an RAM (Random Access Memory) of an FPGA (Field Programmable Gate Array) to obtain a transposed matrix; writing the transposed matrix into the original Bank of the DDR3 by using a DDR3 write control module to obtain the DDR3 in which the data is written; according to the invention, low on-chip storage resource occupation independent of matrix scale is realized, and high-efficiency processing requirements of large-scale echo data in satellite-borne SAR real-time imaging processing are better met.

The invention belongs to the technical field of medical treatment, and discloses a radiotherapy protection system for reducing normal tissue damage, and the system comprises a real-time imaging and monitoring module which employs high-speed CT or MRI equipment to obtain 4D images of a target region and surrounding tissues of a patient in real time in a treatment process; the dynamic protection dose distribution module is used for dynamically calculating dose distribution of each radiation according to the real-time imaging data, optimizing an irradiation path and reducing the stress of normal tissues; the intelligent feedback control module is used for detecting the accumulated dose of a target region and normal tissues in real time and dynamically adjusting an irradiation strategy; inputting the real-time image and the dose monitoring data into a treatment planning system, and updating an irradiation plan; the user interaction module provides a radiotherapy real-time display interface; patient physiological data is monitored in real time. According to the invention, through dynamic real-time monitoring, dose distribution optimization and intelligent feedback control, the limitation of the traditional radiotherapy technology on real-time performance and protection effect is broken through. The system significantly reduces damage to normal tissues, improves treatment precision and patient experience, and has wide clinical application value.

A system of shields designed to provide substantially greater protection, head to toe, against radiation exposure to health care workers in a hospital room during procedures which require real-time imaging. The shields are placed around the patient and the x-ray table and provide protection even when the x-ray tube is moved to various angles around the patient.

The invention relates to the technical field of bionic navigation orientation and positioning, in particular to a carrier course angle measuring method based on polarized light imaging in a non-Rayleigh atmosphere. Comprising the steps of real-time sky polarized light imaging, atmospheric polarization mode resolving based on Mueller matrix imaging, non-Rayleigh polarization information interference removal, polarization orientation resolving based on Rayleigh scattering, space projection conversion and sun position information resolving. Alignment information of the sun in a carrier coordinate system is obtained by utilizing a Rayleigh scattering model and actual sky polarization imaging, and then a carrier course angle is obtained according to the orientation of the sun in a local geographic coordinate system, so that an orientation function is realized; meanwhile, the error influence caused by image registration and time-sharing rotation measurement of the multi-view-field polarization detector and the interference of environmental factors on a single point are avoided, the method can adapt to sunny and cloudy weather, is also applicable to cloudy and other non-Rayleigh weather, and is wide in application range.

Exemplary system, method and computer-accessible medium for selecting at least one location of (i) at least one receiver or transceiver or (ii) at least one transmitter or transceiver can be provided. For example, it is possible to facilitate a receipt, from the at least one transmitter or transceiver, of a plurality of signals by the receiver(s) or transceiver(s). Each of the signals has a multipath component. Then, it is possible to determine time of flight (ToF) information and angle of arrival (AoA) information of the multipath components present in the signals. Further, it is possible to determine one or more possible locations of (i) the receiver(s) or transceiver(s) or (ii) the transmitter(s) or transceiver(s) based on the ToF information, the AoA information, and a model of physical surroundings. The location(s) of (i) the receiver(s) or transceiver(s), or (ii) the transmitter(s) or transceiver(s) can be selected based on the one or more possible locations and an extended Kalman filter (“EKF”).

The invention discloses a noise speckle real-time imaging method suitable for various complex scenes, and the method comprises the steps: firstly obtaining a speckle image of a sample target after a scattering medium through a camera, and carrying out the preprocessing of the speckle image; secondly, the principal component of the preprocessed speckle image is extracted by using VMD based on a row-column separation strategy; and then noise of the principal component is extracted through a main singular value, and an enhanced speckle image is obtained through differential operation with the speckle image. And finally, autocorrelation operation is carried out on the enhanced speckle image, the amplitude of a target is obtained through AM algorithm optimization, and speckle image reconstruction is realized by using a phase recovery algorithm. The method has better robustness and structure retention capability in an edge region and a high-noise scene, can overcome the influence of a strong light interference environment, and remarkably improves the local contrast of a speckle image.

A real time assay monitoring system and method can be used to monitor reagent volume in assays for fluid replenishment control, monitor assays in real-time to obtain quality control information, monitor assays in real-time during development to detect saturation levels that can be used to shorten assay time, and provide assay results before the assay is complete, enabling reflex testing to begin automatically. The monitoring system can include a real time imaging system with a camera and lights to capture images of the assay. The captured images can then be used to monitor and control the quality of the staining process in an assay, provide early assay results, and / or to measure the on-site reagent volume within the assay.

The invention discloses a multimode optical fiber anti-disturbance real-time imaging method based on a double-neural network architecture, which comprises the following steps: firstly, acquiring a speckle image of a target image subjected to multimode optical fiber scattering transmission under a multi-disturbance dynamic state, then extracting spatial domain and frequency domain information of the speckle image, and training through an SFNet classification network to obtain a disturbance dynamic state classification model; and training by using a U-Net imaging network to obtain a speckle imaging model. During testing, the multimode optical fiber disturbance state corresponding to the speckle image is judged by using the classification model, and then the speckle image is input into the speckle imaging model under the corresponding multimode optical fiber disturbance state for reconstruction. According to the method, accurate classification and high-quality reconstruction of the speckle image of the multimode optical fiber under the multi-disturbance condition are achieved, good real-time performance and anti-interference performance are achieved, and the method is suitable for dynamic optical fiber imaging in the complex environment.

The invention discloses a light and thin wearable ultrasonic device with imaging and efficient power output capabilities and a working method of the light and thin wearable ultrasonic device, and aims to solve the problems that an existing wearable ultrasonic device is large in thickness, low in imaging sensitivity and power output efficiency and serious in heating, and imaging and power output areas do not coincide. The device comprises a front-end package, an ultrasonic transducer array and a rear-end package. The front-end package is made of a flexible material and is in contact with an organism to conduct ultrasonic waves; the ultrasonic transducer array comprises an ultrasonic transducer array element with an impedance reverse matching structure, has the characteristics of being light and thin, and has imaging and efficient power output capabilities at the same time; the rear end package is used for protecting the device and providing an insulation function. According to the device, high coincidence of an imaging area and a power output area is realized by sharing the piezoelectric layer, and power output can be accurately controlled based on a real-time imaging result in combination with a closed-loop control strategy.

The invention discloses a micro-positive pressure hydrogen environment in-situ stress-strain testing device and method. The device comprises a sealed reaction cavity which can be placed in a scanning electron microscope sample cabin; the loading device is arranged in the cavity and is used for fixing and applying a load; the atmosphere control system is communicated with the cavity and is used for introducing gas and maintaining a micro-positive pressure state; an electron transmission window arranged on the cavity, wherein an electronic transparent film packaged by the electron transmission window can maintain air tightness under micro-positive pressure and allows electron beams to penetrate through; and the heating module is arranged in the cavity. The method comprises the following steps: loading and sealing a sample, establishing a micro-positive pressure atmosphere, heating the sample, starting loading, and synchronously carrying out SEM real-time imaging and data recording. The problem that a traditional SEM in-situ device cannot work in a real micro-positive pressure hydrogen and high-temperature environment is solved, and synchronous visual in-situ observation of material microstructure evolution and macromechanical response under the gas-heat-force multi-physics field coupling condition is achieved.

The invention discloses a terahertz single imaging method and system based on a metasurface structure, and the method comprises the steps: placing the metasurface structure above or in front of an imaging object, the metasurface structure comprises a pixel array composed of a plurality of pixel units, and the pixel units and imaging units of the imaging object are in one-to-one correspondence and have consistent parameters; enabling a terahertz light beam to vertically penetrate through the metasurface structure and the imaging object, and respectively obtaining a metasurface terahertz radio-frequency transmission domain spectrum and an imaging object terahertz radio-frequency transmission domain spectrum; and constructing a resonance intensity detection limit model so as to reconstruct pixel distribution of the imaging object and realize terahertz single imaging of the imaging object. According to the invention, an adaptive correction algorithm and an external complex modulation decoding device are not needed, the image of the measured object is reconstructed by using the resonant frequency, the imaging time is reduced, the sampling speed is improved, and the problems of slow sampling speed, low compatibility and incapability of real-time imaging of a terahertz single imaging technology in the prior art are solved.

The invention belongs to the technical field of induced polarization advanced detection. According to the TBM excavation-following induced polarization real-time advanced detection method and system, a TBM cutterhead and a TBM shield serve as power supply electrodes, and the detection efficiency and the TBM excavation efficiency are improved; acquiring first detection data when the TBM cutterhead clings to the tunnel face and the TBM cutterhead and the TBM shield supply power at the same time and second detection data when the TBM cutterhead leaves the tunnel face after retreating, the TBM cutterhead is not in contact with the surrounding rock and the TBM shield supply power independently, and taking a difference value between the first detection data and the second detection data as final detection data of the current detection round, and performing three-dimensional imaging processing on the final detection data of the plurality of detection rounds in any imaging period to obtain a continuous three-dimensional detection result in the imaging period. According to the TBM tunnel detection method, the difference of the detection data is made for denoising processing after tunneling of each round, real-time imaging is achieved in the imaging process, and the TBM tunnel detection effect is improved.

The invention relates to the technical field of optical imaging, and discloses an optical lens splicing imaging method and system, and the system comprises a calibration module, a preprocessing module, a registration module, a correction module, and a fusion module. Through the arrangement of the registration module, the correction module and the fusion module, the problem of registration errors caused by sparse feature points of a low-texture region can be solved through a mixed strategy of global mutual information guidance and local robust matching, the registration precision is effectively improved, the optical aberration of each sub-lens is compensated through a global model based on a Zernike polynomial, and the registration precision is improved. The image quality of the marginal area of the spliced image is effectively improved, a multi-resolution pyramid optimization mode is adopted, the calculation complexity of global registration is reduced, the real-time imaging requirement is met, meanwhile, splicing seams are effectively eliminated, and the overall smoothness of the image is remarkably improved.

The present invention relates to the field of PCB circuit board detection technology, and discloses a PCB circuit board defect detection method and system. The method comprises the following steps: an image acquisition module acquires multispectral imaging data to generate an original image dataset; a defect analysis server receives synchronized imaging data to construct a three-dimensional surface topology matrix; the original image dataset and real-time imaging data are combined to perform multi-scale decomposition of the three-dimensional surface topology matrix, extract texture features, locate defect areas, output spatial distribution features of defect types through a hierarchical recognition model, and update the original image dataset; and detection parameters are dynamically calibrated according to feature categories. The system includes an image acquisition module group, a data transmission module, a three-dimensional modeling module, a defect recognition module, and a parameter calibration module. This solution improves the accuracy, comprehensiveness, and efficiency of defect detection and is suitable for the detection needs of modern PCB production.

Methods and systems are provided for interventional ultrasound imaging. In one embodiment, a method comprises acquiring an ultrasound image of an anatomical region, segmenting an interventional device from the ultrasound image to obtain a segmented image, restoring an image quality of the ultrasound image to a reference image quality to obtain a restored ultrasound image, combining the segmented image with the restored ultrasound image to obtain a corrected ultrasound image, and displaying the corrected ultrasound image. In this way, ultrasound imaging may be used to image the position of an interventional device such as biopsy needle in an anatomical region, in real-time, with reduced image artifacts caused by the interventional device.

The present invention relates to an endoscopic probe for photoacoustic tomography of cavity side walls, characterized by comprising a hollow tubular probe housing with a closed front end; N acoustic wave receiving windows and M laser output windows formed on the side wall of the tubular probe housing; an array of linear laser output ports connected to a pluggable optical fiber connector via an optical fiber bundle; and an ultrasonic transducer array connected to a multi-channel signal connector via a signal harness. The present invention employs a method of arranging array transducers and array laser outputs on the side wall of the probe, eliminating the need for a reflector. The probe is less than 2 centimeters in size and can be placed in close proximity to the prostate through the rectum for photoacoustic imaging of the prostate, or in close proximity to the inner wall of the rectum for photoacoustic imaging of the inner wall of the rectum. The endoscopic probe provided by the present invention, combined with a photoacoustic imaging system host, utilizes photoacoustic endoscopic imaging technology to perform real-time transrectal prostate imaging and rectal imaging, achieving ideal imaging results.

The invention discloses an edge network real-time imaging task allocation method, a task allocation system and an imaging system, and belongs to the technical field of edge computing task scheduling. Comprising the steps of obtaining a task and subtasks in the task; sub-tasks are divided according to a dependency relationship, the dependency relationship comprises time dependency and score dependency, and an optimal task allocation scheme is obtained by taking minimization of total completion time of real-time imaging as a target under the condition that the dependency relationship condition is met; and executing the optimal task allocation scheme, predicting the completion time of the sensor nodes on the subtasks, and dynamically scheduling the sensor nodes to which the subtasks are allocated according to the completion time. The problems of high data transmission delay and low resource utilization rate when imaging processing is carried out on a central server in a traditional seismic exploration imaging method are solved, sub-tasks are allocated, efficient utilization of resources is realized, and the real-time performance of imaging is improved.

The invention discloses a satellite-borne SAR (Synthetic Aperture Radar) real-time imaging method based on FPGA (Field Programmable Gate Array) high-speed transposition, which comprises the following steps of: in FPGA data writing operation, carrying out row splitting on SAR echo data in a matrix form to obtain a plurality of small matrix blocks with consistent row and column sizes, and forming a recombination matrix; writing the small matrix blocks into a memory in sequence; performing skip reading operation on the recombination matrix, and repeating the operation until the reading operation of the SAR echo data is completed; imaging is carried out based on the CS imaging algorithm, real-time output is carried out, according to the method, the transposition operation read-write efficiency of a memory is high, and the imaging real-time performance is guaranteed.

The invention discloses a gas leakage detection imaging device and method based on a single photon detection technology, and belongs to the technical field of gas detection and imaging. Aiming at the limitation problems of the existing gas leakage detection technology in the aspects of sensitivity, response speed, space imaging capability and anti-interference capability, nanosecond modulation control and synchronous photon counting are realized by utilizing an FPGA (Field Programmable Gate Array) through a visual gas detection imaging device combining an SPAD (Single Program Amplifier) array detector and a WMS modulation-demodulation mechanism; and the second harmonic of the absorption signal is further extracted by combining digital phase-locked amplification, so that gas leakage three-dimensional imaging with high spatial resolution, ppb-level sensitivity, strong background suppression capability and high time response is realized. The system has the advantages of high detection sensitivity, real-time imaging capability with high spatial resolution, high background light interference resistance and high signal-to-noise ratio, the demodulation method is novel, and the modular design has multi-gas compatibility and system expansibility.

The invention relates to the technical field of medical endoscope imaging, in particular to an endoscope hue correction method and device and an endoscope, and the method comprises the steps: obtaining a first image collected by the endoscope as a target collection image after the proportion of a light source in a lighting unit changes; acquiring a second image before the proportion of a light source in a lighting unit of the endoscope is changed as an adjacent frame image; calculating first hue information of the target acquisition image and second hue information of the adjacent frame image; and when the hue information deviation between the first hue information and the second hue information is greater than a preset hue deviation, performing hue correction on the target acquisition image based on the image scene difference between the target acquisition image and the adjacent frame image until the adjusted hue information deviation meets the preset deviation, outputting the adjusted target acquisition image as a hue correction image; the hue difference is systematically adjusted through the scene difference, so that the stable expression of the image hue in real-time imaging is kept.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

An infrared detection camera for the inspection of coated substrates. A corrosion sensing instrument is handheld, portable, battery powered, compact and lightweight. The camera performs nondestructive, real time imaging of corrosion and defects beneath painted metal or plastics or composite surfaces. The device includes a user-friendly computer interface for real time imaging and image storage capability and is typically used for detecting early stage corrosion beneath painted aircraft aluminum surfaces. The handheld device has a front “open air” imaging port which is designed to be placed in soft contact against the painted surface to be inspected by the instrument. The device includes an infrared camera and infrared lighting to capture an image of the surface. The captured image is transferred to a computer and analyzed to locate imperfections below a coating on a surface.

The invention relates to the technical field of nondestructive testing of power systems, in particular to a phased array ultrasonic testing method and system for internal defects of a wall bushing. Comprising the following steps that the outer surface of a metal layer of the wall bushing is cleaned and polished; measuring the outer diameter of the wall bushing and the thickness of a metal layer; a phased array ultrasonic probe is placed on the surface of the processed metal layer in a coupling mode, and a center array element of the phased array ultrasonic probe is activated to collect A scanning signals; setting a focusing depth and a scanning angle range according to the thickness of the metal layer; and activating all array elements of the phased array ultrasonic probe, and starting a gain compensation mode of the phased array ultrasonic flaw detector. According to the method, the multi-array-element electronic scanning and real-time imaging technology is utilized, a large-area area can be covered through single-time fan-shaped scanning, early-stage defects (such as micro air gaps and cracks) which do not cause temperature rise can be sensitively recognized, the detection efficiency and the detection capacity are remarkably improved, and the problems of infrared leak detection and low radiographic detection efficiency are effectively solved.

The invention relates to the technical field of monitoring equipment, in particular to multi-optical-axis optical imaging infrared night vision equipment and a control method thereof. Fusing the real-time image data of each optical axis to generate a fused real-time imaging image; if the image entropy of the real-time imaging image is greater than a preset threshold value, the real-time imaging parameter of the infrared night vision equipment is not regulated and controlled; if the image entropy of the real-time imaging image is not larger than a preset threshold value, an imaging parameter deviation value of an imaging module is obtained, a preset deviation correction measure is obtained according to the imaging parameter deviation value in combination with matching of a B tree-index map, and real-time imaging parameters of the infrared night vision equipment are regulated and controlled according to the preset deviation correction measure. According to the invention, the imaging quality, the stability and the adaptive capability of the infrared night vision equipment in the monitoring work are effectively improved.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

The invention provides a real-time inversion method and system for aeromagnetic measurement of an unmanned aerial vehicle, and relates to the field of geophysics, and the method comprises the steps: carrying out the mesh generation of an underground space of a target region, and obtaining all subdivided meshes; calculating a weighting matrix for inversion according to the position information of the subdivision grid; acquiring aeromagnetic data of the current observation point in real time and preprocessing the aeromagnetic data to obtain magnetic anomaly data; calculating a kernel vector according to the position information of the current observation point; incorporating the kernel vector into a kernel matrix; determining an initial model of a current observation point through a real-time inversion magnetic body model obtained at a previous observation point; and performing real-time inversion through the initial model, the weighting matrix and the kernel matrix to obtain a real-time inversion magnetic body model of the current observation point, and performing visual display to complete the real-time imaging of the magnetic distribution result of the underground space. According to the technical scheme of the invention, the method achieves the real-time and rapid inversion function under the condition of guaranteeing the inversion accuracy.