1513 results about "Image system" patented technology

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating synthetic images depicting synthetic environments that can then be matched to a real world example. The systems and methods can include obtaining a search query, which can be utilized to generate a prompt input that can be processed by an image generation model to generate a plurality of model-generated images. A selection can then be received that selects a particular model-generated image to utilize to query a database.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

The invention relates to a CL imaging system based on multi-axis motion control, the CL imaging system comprises a platform, a side table, a large hollow rotary table, supporting legs and a control system, the platform is provided with an X translation table, the X translation table is located below the large hollow rotary table, the X translation table is slidably connected with a Z lifting table, the Z lifting table is slidably connected with a ray source support, and the ray source support is provided with a ray source; a hollow double-drive XY translation table is arranged above the large hollow rotary table, and the hollow part of the hollow double-drive XY translation table and the hollow part of the large hollow rotary table are overlapped; the side table is arranged close to the side edge of the platform, the side table is perpendicular to the platform and provided with a rocker arm driving rotary table, the rocker arm driving rotary table is connected with a rocker arm translation table, the rocker arm translation table is slidably connected with a detector support, and a detector is fixedly arranged on the detector support. According to the invention, the relative position of the radiation source and the detector is adjusted through the high-precision multi-axis motion control mechanism according to the characteristics of large thickness and large size of a PCB, and full-angle and local flexible CL data acquisition is realized.

The invention relates to the technical field of charging and battery swapping, and discloses an electric truck battery swapping station pre-guiding accurate parking system and method, and the system comprises the ground, a battery swapping station, a battery swapping shed, an electric truck, a laser guiding system, a radar image system, and a parking line. The laser guiding system comprises a laser projector and an adjustable device which are installed on the top of a battery changing area of the battery changing station. The radar image system comprises a radar device installed below the head of the electric truck and a central control display device in the cab of the electric truck, the electric truck can more quickly and accurately drive into the battery replacement area of the battery replacement station through the pre-guiding accurate parking system, the repeated adjustment time caused by inaccurate parking position is reduced, and the accuracy of the electric truck is improved. Therefore, the overall efficiency of battery replacement is greatly improved, the battery replacement station can provide battery replacement service for more electric trucks in unit time, the occurrence rate of battery replacement faults caused by parking deviation is reduced, and the success rate and reliability of battery replacement operation are improved.

Imaging systems and techniques are described. In some examples, an imaging system extracts a plurality of features from the plurality of images of an environment. The plurality of images include different perspectives on the environment. The imaging system processes the plurality of features to generate a voxel-based representation of the environment. The voxel-based representation includes a plurality of voxels. The imaging system analyzes the plurality of images and the voxel-based representation to classify a first subset of the plurality of voxels into a first object category and to classify a second subset of the plurality of voxels into a second object category.

Systems and methods are provided herein for developing and deploying active-prompt-tuned, domain-specific image diagnosis and categorization applications. Processes of the present disclosure may control and provide for human-confirmable diagnostics from images, based on controlled instructions provided to vision-language models. The controlled instructions may be developed by systems provided herein, which generate system prompts and example prompt sets using active prompt tuning approaches.

The invention provides an asphalt mixture production quality defect traceability analysis method, which comprises the following steps of: acquiring time sequence process parameters such as raw material attributes, mixing temperature and paving speed and quality defect characteristics such as segregation degree, void ratio and compaction degree through a distributed sensor network and an image system, and performing filtering, denoising, standardization and characteristic zooming on the parameters; constructing a unified defect-parameter association data set; historical data and expert experience are utilized to establish a process semantic network and an extensible meta-path template, a defect propagation path is dynamically activated, node embedding and path weight are optimized through online comparative learning of a neural network, and defect cause chain visualization and future trend prediction are realized. According to the invention, the accuracy of defect tracing and the quality control efficiency of the production process are improved.

The invention discloses an SAR (Synthetic Aperture Radar) image MTF (Modulation Transfer Function) quality evaluation method and system based on a natural scene edge, and the method comprises the steps: building a selection standard system for automatic edge screening of a natural scene SAR image, and determining a high-contrast linear edge according to the standard system; automatically detecting a high-contrast linear edge in the natural scene, and intercepting a region of interest for subsequent calculation based on the position of the linear edge; gray level distribution is extracted in the normal direction of the linear edge, and an edge spread function is constructed and used for describing gray level transition response of the imaging system in the edge area; carrying out normalization and smoothing processing on the edge spread function, and carrying out spatial domain first-order differential calculation to obtain a line spread function; and performing fast Fourier transform on the line spread function to obtain a modulation degree transfer function curve, and representing the detail transfer capability of the system under different spatial frequencies. According to the method, the imaging quality of the SAR image of the natural scene can be automatically, accurately and quantitatively evaluated under the condition that manual field arrangement is not needed.

Systems and methods are provided for obtaining and using training data for training a super-resolution model that transforms images from a first-low resolution to a second-high resolution. The methods include generating high-fidelity high-resolution images for the training data from underlying images at the second-high resolution and that have a relatively lower fidelity. The high-fidelity high-resolution images are paired with correlating low-resolution images and used to train the super-resolution model.

An imaging system according to an embodiment includes an imaging unit configured to image a subject, a viewing angle acquiring unit configured to acquire viewing angle information of the subject using an image captured by the imaging unit, a subject information acquiring unit configured to acquire, using the image, position information and posture information of the subject and position information of an object present in a visual field region of the subject, and a region calculating unit configured to calculate, based on the viewing angle information, the position information, and the posture information of the subject and the position information of the object present in the visual field region, at least one of a dead angle region that cannot be grasped by the subject or a visual recognition region that is a region obtained by excluding the dead angle region from the visual field region.

An imaging system includes: an illuminator that outputs illumination light to be radiated onto a target object; an imager that receives reflected light originating from the illumination light and coming from the target object and generates a compressed image in which image information of wavelength bands included in a target wavelength range is compressed as one piece of image information; and a processor that generates reconstructed images based on the compressed image, each reconstructed image corresponding to a different one of the wavelength bands. The wavelength bands include a first wavelength band and a second wavelength band. A light intensity in the first wavelength band included in the illumination light and a light intensity in the second wavelength band included in the illumination light are different from each other.

The invention discloses a shock wave diffusion process testing method based on double cameras and digital schlieren. The method comprises the steps that two high-speed cameras are used for shooting digital schlieren images generated in the shock wave diffusion process; performing image splicing on the acquired images shot by the double cameras; the position of the shock wave is calculated through the spliced image, shock wave position data at different moments are obtained, and the speed of shock wave propagation in the x-axis direction and the y-axis direction is obtained. Based on binocular vision, a digital schlieren system is adopted to collect an air flow field information image containing a shock wave propagation process; splicing of double-camera images is achieved through an improved homography matrix method, the shock wave testing range is expanded, the whole shock wave propagation process is successfully captured, the shock wave diffusion testing accuracy is improved, and visual monitoring of wave types represented by shock waves in various transparent media can be achieved.

Systems and methods of virtual displays to generate virtual images. Some display systems comprise a light source and a plurality of specular reflectors to produce virtual images that have a monocular depth that is closer to a viewer than an exit aperture optic or other optical component of the display system. In some embodiments, sensors or cameras detect a property of a viewer or of an environment to impact the virtual image or to provide sensory feedback to the viewer.

The present invention relates to novel image reconstruction methods and technologies. Embodiments of the invention specifically relate to image reconstruction using a flat lensless camera, or any other imaging device and / or imaging system, and a pre-trained diffusion model with a control network and a learned separable transformation. Additional embodiments of the invention include the addition of textual descriptions and / or text captions of the captured scene to further enhance image reconstruction.

A method and apparatus for calibrating an imaging system provides a program stored in the imaging system having a graphical user interface and providing a plurality of tools to align hardware components of the imaging system including cameras for imaging cell culture vessels received by the imaging system and having a tool for providing a video image output of a cell culture vessel received in the imaging system.

The invention discloses a preoperative discussion record automatic generation method and system based on a knowledge graph and natural language processing. The system automatically obtains multi-modal data from an electronic medical record, inspection and image system, and carries out standardization processing in combination with doctor input; medical entity recognition and relation extraction are realized through natural language processing, and a patient digital portrait is constructed; reasoning and calling a dynamic template engine based on the specialized knowledge graph, and generating a personalized preoperative discussion record; the generated content has interpretability, a doctor can modify and confirm, and continuous optimization is realized by system record feedback. The system is composed of a data input module, a data processing module, an intelligent generation module, an interactive display module and a learning optimization module. According to the method, intelligent, standardized and personalized generation of the preoperative discussion record is realized, and the writing efficiency and the medical safety are improved.

Systems and methods for detecting artificial intelligence generated images are provided. The system accepts an input image (e.g., a digital still image, or a frame from a digital video file or image stream) and subdivides the input image into a set of patches using a patch partitioning algorithm. The system then processes each patch and produces a feature embedding for each patch within a high dimension space. The system then utilizes these patches with further processing as input to machine learning models, which allows the system to achieve image, patch-level, and video-frame generated image classification and localization alongside identification of the generative model used to synthesize the image.

A Multi-Angle Dynamic Image system provides multi-angle observation capabilities comprising lamps strategically positioned to obtain high quality images of the security documents or items under analysis, to obtain images with variations in the observation angle of the security document or item under study. The system includes a box platform for placing the security document or item thereupon, the box platform changes its orientation, allowing the system to capture the variations in color and structure as the orientation and the angles of the observation and illumination change. The system also includes a high-resolution linear camera to capture the intricate details while avoiding distortion and parallax issues. The system also includes a computer configured to run algorithms to process image acquisition data for a complete set of observation angles, to pre-process image acquisition data including crop and image standardization, to calculate differences between adjacent angle images, eliminate noise, to calculate a total optical flow using the images at different angles and their differences to generate the Dynamic Images vectorial field, one per orientation, and the Dynamic Map, a heat map generated using the magnitude from the Dynamic Image vectorial field, and calculate from the Dynamic Image the different parameters associated with dynamic properties of the OVD.

An imaging system for generating an x-ray image of a subject. The imaging system including an imaging gantry having an x-ray emitter for emitting x-rays through the subject and an x-ray detector for detecting the x-rays that have passed through the subject. The imaging gantry is movable relative to the subject. The imaging system further including a control system configured to provide a user of the imaging system with a quick, easy, and efficient workflow of the imaging system to lead the user through a series of well-defined steps for setting up the imaging system.

The utility model provides a double head-up display fusion imaging system, which relates to the field of automobiles, and generates a first light beam and a second light beam carrying different projection information through an image generation unit, and adopts a diffusion element to carry out uniform light diffusion on the first light beam and the second light beam. The diffused first light beam is projected to a first position of the windshield by adopting the reflector assembly, the diffused second light beam is projected to a second position of the windshield, the light beam projected to the first position generates a diffraction effect under the action of the holographic optical element, and a close-shot image is formed in front of the windshield; the light beam projected at the second position forms a long-shot image in front of the windshield so as to display the long-shot image information carried by the second light beam. In the imaging system, only one holographic optical element and one set of optical transmission system are needed to complete display of two paths of projection information, and the system is simple in structure and smaller in size.

An imaging system (MIS), optionally a medical imaging system, with wireless communication capability and related method. The imaging system comprises a gantry (RG) rotatable around a rotation axis. The gantry includes a detector device (D) capable of recording, in plural spatial positions, measurement data in relation to a subject (such as a patient) (PAT) to be imaged. The system also includes a radio transmitter (TX) for generating a directed radio beam propagatable along a propagation axis to transmit the measurement data to a radio receiver (RX). The radio transmitter (TX) is arranged at the rotatable gantry and is operable so that the propagation direction intersects the rotation axis in a location that is situated away from the rotatable gantry.

A process can obtain a RT image of an article from the RT imaging system, the article comprising a reference feature, identify a first portion and a second portion of the first RT image, wherein the first portion and the second portion overlap, and classify each pixel in the first portion and the second portion using a pore classification model. A pore map can then be generated and mapped onto the article based on data received from the at least one sensor. A process can identify rejected regions on the pore map, wherein the rejected regions exceed a rejection threshold based on predefined rules. These rejected regions can then be displayed.

The invention discloses a photoelectric imaging system multi-component optimization method based on full-link model driving. The method comprises the following steps: determining a parameter value range of to-be-optimized sensor parameters of multiple components in a target photoelectric imaging system; the to-be-optimized sensor parameters comprise focal length, aperture, pixel size and integration time; based on a pre-constructed full-link simulation model of a target photoelectric imaging system and a target genetic algorithm, performing iterative optimization on the parameter value range of the to-be-optimized sensor parameters to obtain target parameter values of the to-be-optimized sensor parameters under aberration-free and stray-free conditions; and determining a target aberration range and a target stray irradiance range of the target photoelectronic imaging system based on the target parameter values of the optimized sensor parameters. According to the method, the synergistic effect and the mutual coupling restriction relation between different component parameters can be integrated in the optimization process, and the performance of the optimized target photoelectric imaging system is improved.

Methods and systems are provided for adaptively configuring time delays between scans of a scan sequence performed using an imaging system, to maintain a temperature of components of an X-ray tube of the imaging system within a threshold temperature. A software tool is provided that allows a user to import, modify, and / or create scan sequence protocols (e.g., such as image quality (IQ) protocols) using a dedicated graphical user interface (GUI). The software tool parses the scan sequence protocols, using a thermal physics model of the X-ray tube to calculate a plurality of adaptive delays to be inserted between each scan of the scan sequence, such that all the components of the tube stay within predefined thermal limits for robust IQ or within a thermal range typical of a clinical site's thermal operating range. Each adaptive delay may be of a different length of time.

The invention relates to the field of high-pressure pressure distribution calibration and imaging, in particular to a high-pressure diamond anvil cell internal pressure calibration / imaging system and method based on wide-field optical detection magnetic resonance. The invention discloses a high-pressure diamond anvil cell internal pressure calibration / imaging system based on wide-field optical detection magnetic resonance. The system comprises a fluorescence excitation and collection unit which comprises a wide-field optical detection magnetic resonance pressure distribution imaging light path based on nano-diamond NV color center fluorescence and a pressure calibration light path based on a ruby microsphere fluorescence spectrum. Compared with the prior art, the technical effects of the invention are that a traditional single-point detection mode is broken through through a wide-field microscopic imaging method, submicron spatial resolution and 0.0045 GPa / Hz1 / 2 noise measurement sensitivity are realized, and a brand new stress field characterization means is provided for a high-pressure experiment.

The application relates to the field of machine vision and image recognition, and discloses a high-precision edge extraction method based on image automatic processing, which comprises the following steps: a standardized image system is constructed, and an initial standardized wood template image is acquired through the standardized image system; the initial standardized wood template image is subjected to multimodal fusion pretreatment; an Otsu algorithm is used to determine a high threshold value and a low threshold value, an initial edge image and an edge gradient image are generated after edge detection of a binary image; then, the initial edge image is input into a pre-trained lightweight adaptive U-Net model, and an edge probability image is output; the edge probability image is sequentially subjected to morphological opening operation denoising processing, B-spline curve smoothing fitting processing and coordinate system calibration processing, and wood template edge coordinates are obtained; the average error of the wood template edge coordinates and standard template edge coordinates is calculated. The application realizes accurate conversion of wood template edge from an image to actual physical coordinates.

The invention relates to the technical field of image processing, and discloses a fish school density determination method and device based on multi-range adaptive partition, computer equipment and a storage medium. According to the invention, the multi-modal perception model is used to replace the traditional mode of reading and marking the range of the sonar image depending on manual visual reading, and the polar coordinate-Cartesian coordinate mapping model is constructed based on the analyzed range parameters, so that the self-adaptive geometric partitioning and geometric distortion correction of the original sonar image are realized. A sonar image is decomposed into a plurality of microcosmic local block masks by generating local block masks, local effective fish school and local water volume are independently calculated in the local block masks, and finally the overall fish school density is determined. The method can be applied to the field of cultivation insurance insurance claim settlement business, and the capability of eliminating image distortion when an image system identifies and scans an image is improved.

Systems and methods described herein relate to fabricating photonic chip-to-chip couplings. In one embodiment, a system for fabricating a photonic chip-to-chip coupling bonds a substrate to first and second photonic chips. The system also generates, based on images of the bonded substrate and the first and second photonic chips captured by an imaging system, an initial optimum design for a waveguide within the substrate to optically couple the first and second photonic chips. The system also etches a first portion of the waveguide in accordance with the initial optimum design using a laser that polymerizes regions of the substrate. The system also monitors the etching of the first portion of the waveguide via the imaging system and generates an updated optimum design for a second portion of the waveguide that compensates for detected error in the first portion of the waveguide.

The invention discloses a medical image diagnosis method based on a hierarchical differential privacy federated learning method. The method comprises the following steps: constructing a medical institution federated learning network system; preprocessing the collected medical image data and dividing a data set; initializing a deep neural network diagnosis model architecture and gradient sensitivity evaluation parameters; calculating a local gradient and a hierarchical gradient variance of the client; dynamically evaluating the hierarchical gradient sensitivity; the server aggregates the sensitivity and updates the dynamic threshold; implementing layered and differentiated privacy budget distribution; the client receives the feedback signal and adjusts the learning rate; dynamically adjusting the local privacy budget; differential privacy noise is injected into the gradient; uploading the noisy gradient to a server and updating the global model; calculating verification loss and generating a feedback signal; adaptively adjusting the global privacy budget; broadcasting the updated model and parameters; iterative training is carried out until convergence; deploying the final diagnosis model to each medical institution to execute medical image real-time diagnosis; the defects of a medical image system are overcome.