2478 results about "Image system" patented technology

An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.

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 are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.

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.

Provided herein are imaging systems for a patient including an imaging probe and an imaging assembly. The imaging probe includes an elongate shaft with a rotatable optical core positioned within a lumen of the elongate shaft. The imaging probe further includes an optical assembly to direct light to tissue to be imaged and to collect reflected light from the tissue to be imaged. The system further includes an imaging assembly optically coupled to the imaging probe. The system further includes a processing unit with a processor and a memory coupled to the processor, and the memory stores instructions for the processor to perform an algorithm. The system records image data based on the reflected light collected by the optical assembly, such that the image data comprises data collected from a segment of a blood vessel during a pullback procedure. The algorithm can analyze the image data.

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.

The invention relates to a trauma first-aid intervention time optimization management system and method based on multi-modal data fusion, and is suitable for high-timeliness trauma treatment scenes. The method comprises the following steps: S1, collecting and standardizing multi-source heterogeneous data from physiological monitoring, an image system, text recording and the like; s2, extracting each modal feature, and generating an intermediate semantic representation; s3, constructing a multi-mode cooperative control mechanism, and dynamically allocating a dominant mode and an auxiliary mode according to a TIPT task node state to realize semantic information intercommunication; s4, adjusting the fusion weight based on the time sensitivity score, and realizing adaptive regulation and control of modal fusion; s5, the task path scheduling module automatically starts a standby strategy when the key mode is missing or delayed, and task propulsion continuity is guaranteed; and S6, outputting diagnosis and treatment suggestions and performing task closed-loop feedback. The method can effectively improve the data fusion efficiency and decision reliability in the time-sensitive medical task, and has good clinical practicability and popularization prospects.

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.

In certain embodiments, ophthalmic laser system includes an auxiliary light system, laser system, imaging system, and computer. The auxiliary light system directs auxiliary light towards a test target according to a planned test pattern to yield one or more actual auxiliary spots of an actual test pattern on the test target. The planned test pattern indicates one or more planned auxiliary spots located relative to a planned laser spot in a predetermined manner. The laser system directs a laser beam to yield an actual laser spot of the actual test pattern on the test target. The imaging system generates a digital image of the actual test pattern. The computer analyzes the digital image to compare the actual to the planned test pattern, detect a deviation of the actual from the planned test pattern, identify an issue indicated by the deviation, and provide output in response to the issue.

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.

Systems and methods for performing one or more medical imaging analysis tasks on PCCT (photon-counting computed tomography) images are provided. Image acquisition parameters of a PCCT image acquisition device are determined for acquiring PCCT images. One or more PCCT images of an anatomical object of a patient acquired using the PCCT image acquisition device configured with the image acquisition parameters are received. One or more medical imaging analysis tasks analyzing the anatomical object are performed based on the one or more PCCT images using one or more machine learning based models. Results of the one or more medical imaging analysis tasks are output.

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.

In certain embodiments, an ophthalmic laser system includes a laser system, imaging system, and computer. The laser system accesses a planned test pattern of planned laser spots and directs a laser beam towards a test target located at a target plane according to the planned test pattern to yield an actual test pattern of actual laser spots on the test target. The actual laser spots correspond to the planned laser spots. The imaging system has a digital camera that generates a digital image of the actual test pattern. The computer analyzes the digital image to: compare the actual test pattern to the planned test pattern; detect a deviation of the actual from the planned test pattern; identify an issue indicated by the deviation; and provide output in response to the identified issue.

The invention discloses a low-permeability rock breakthrough pressure testing method based on schlieren imaging. The method comprises the following steps: putting a test rock sample into a confining pressure cavity of a rock sample holder; the injection end of the rock sample holder is connected with the fluid injection module, the outlet end of the rock sample holder is connected with the schlieren cavity, and the confining pressure cavity is connected with the confining pressure injection module; vacuumizing a pipeline of the testing device, injecting a degassed purified water medium into the schlieren cavity, and then carrying out optical path debugging until a clear schlieren image is acquired; loading confining pressure stress on the test rock sample, injecting water until the test rock sample is saturated, injecting carbon dioxide, observing a schlieren imaging system, recording a schlieren image of carbon dioxide breakthrough by a high-precision camera when the carbon dioxide breaks through the saturated rock sample, recording the breakthrough moment of the carbon dioxide, and recording the upstream and downstream pressure difference value at the moment; the breakthrough pressure is the breakthrough pressure of the carbon dioxide of the tested rock core sample. According to the invention, a trace concentration of carbon dioxide can be visually observed to break through the rock sample, so that the breakthrough pressure of the low-permeability rock can be accurately detected.

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.

A system is provided for fenestration within a body lumen. The system includes an intraluminal device and a processor. The processor is configured to, from an imaging system, obtain a planning image including the lumen and a branch lumen extending from the lumen, and, in the planning image: identify a treatment device; identify a centerline of the branch lumen extending from the branch lumen to a desired puncture point on the treatment device; and identify a desired trajectory of the intraluminal device relative to the puncture point. The processor is also configured to, from a second imaging system, obtain a live procedural image including the lumen and the branch lumen; and in the live procedural image, identify the treatment device, the centerline of the branch lumen, the desired puncture point, the desired trajectory of the intraluminal device, and the actual trajectory of the intraluminal device.

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.

Method and device(s) for provision of a pair of real world and image sensor correspondence points for use in calibration of an imaging system (405) for three dimensional imaging based on light triangulation. Said real world point (514-1; 529-1) being provided (801) as a first virtual intersection between a first real world line (512a; 527a) and a second real world line (512b; 527b). Said image sensor point (544-1; 554-1) being provided (802) as a second virtual intersection between a first image line (542a; 552a) and a second image line (542b; 552b). A first image (540a; 550a) by the imaging system comprises captured light that images the first real world line (512a; 527a) and a second image (540b; 550b) by the imaging system comprises captured light that images the second real world line (512b; 527b). The first image line (542a; 552a) corresponds to positions of intensity peaks of said captured light in the first image (540a; 550a) and the second image line (542b; 552b) corresponds to positions of intensity peaks of said captured light in the second image (540b; 550b).

Imaging systems and associated methods are described. According to one aspect, an imaging system includes an antenna array having transmit and receive antennas, the transmit antennas emit electromagnetic energy from a plurality of different positions about a target imaging volume and the receive antennas receive reflections of the electromagnetic energy at the different positions, a transceiver configured to control the emission of the electromagnetic energy and to generate radar data that is indicative of the reflections of the electromagnetic energy received via the receive antennas; and processing circuitry configured to focus the radar data to provide first focused data in a first dimension, to focus the radar data in a second dimension to provide second focused data, and use the second focused data to focus the radar data in a third dimension to provide third focused data comprising an image of the target imaging volume.

The utility model discloses a novel wavelength selection switch, which relates to the technical field of all-optical communication and comprises an optical fiber collimation array, a Fourier lens, a 4f imaging system, a diffraction grating, an LCOS (Liquid Crystal On Silicon) device and an MEMS (Micro Electro Mechanical System) device which are sequentially arranged along the direction of an optical path. According to the utility model, by utilizing the fine modulation and deflection characteristics of the LCOS device to the light beam and combining the wide-angle scanning characteristic of the MEMS device, the wavelength selective switch capable of greatly increasing the number of output ports is provided, the reconfigurable optical add-drop multiplexing function is realized, the miniaturization and standardization of the WSS module are realized, and the optical communication technology is high in efficiency and wide in universality.

A hybrid augmented navigation system for a vehicle includes a windshield including a primary viewing envelope, the primary viewing envelope including a tactical region and a strategic region, an imaging system including a tracking camera, and a navigation system including navigation data. The hybrid augmented navigation system also includes a controller that is communicatively coupled with the imaging system and the navigation system. The controller is configured to generate a hybrid augmented navigation at the windshield via a hybrid augmented navigation application. The hybrid augmented navigation application includes tactical navigation graphics projected at the tactical region of the primary viewing envelope and strategic navigation graphics projected at the strategic region of the primary viewing envelope. The tactical navigation graphics include a navigation path, and the strategic navigation graphics include landmark indicia based on the navigation data.

The invention relates to an intelligent hospital management system based on clinical scientific research integration, and the system comprises a clinical scientific research integration platform which is provided with a special disease database data service module which is used for integrating patient clinical data with a patient as a center; the special disease database data service module comprises a special disease scientific research data center which is used for storing high-quality multi-dimensional structured patient data processed by an artificial intelligence technology; the regional decision application module is used for collecting multi-hospital-area data and carrying out hospital diagnosis and treatment and multi-dimensional analysis of medication data; the regional collaborative application module is used for realizing medical resource sharing of multiple hospital areas; and the regional multi-center-line image integration module is used for acquiring image system data of a plurality of courtyards and realizing sharing and mutual recognition. According to the invention, multi-center medical data integration and scientific research collaboration are realized, and the collaborative work and collaborative diagnosis and treatment efficiency is improved.

Systems, methods, and computer programs disclosed herein relate to training a machine learning model and using the trained machine learning model to generate synthetic medical images.

The invention relates to a device and a method of a high-sensitivity suspension single-droplet sensor for monitoring PM2.5 pollution, belongs to the technical field of aerosol microdroplet spectrum trace analysis, and solves the problem that ppb-magnitude gas cannot be monitored in the prior art. The method comprises the following steps: pumping aerosol into a sample cell of a droplet suspension system in a single droplet form; introducing required reaction gas into the sample pool through an atmosphere control system; scattered light signals of the single liquid drops are respectively input into the dynamic signal processing system and the microdroplet imaging system; acquiring the characteristic peak displacement change of the metal ion sensing microdroplet; establishing a gas particle distribution Mie scattering inversion model based on micro-droplet dynamic response; inverting the radius of the liquid drop according to the stimulated Raman scattering / stimulated elastic scattering signal; according to the quantitative relationship of the reaction, calculating the generation of sulfate by the droplet suspension system (sensor); and judging which gas in the actual atmosphere is a main oxidation pathway for oxidizing sulfur dioxide to generate sulfate pollutants according to a calculation result.

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.

The invention belongs to the field of photoelectric detection imaging, and provides a photoelectric detection imaging integrated chip and a use method thereof, and the chip comprises a visible light miniature light-emitting diode array and a photoelectric detector array which are connected with each other in a one-to-one correspondence manner. Photoelectric detection imaging is completed through direct conversion of the detection target optical signal and the visible light imaging signal between the pixels, and the frame rate of the photoelectric detection imaging system is greatly improved; a reading circuit, a signal processing circuit and an imaging system in a traditional photoelectric detection imaging system are replaced by the miniature light-emitting diode display array, the power consumption of the photoelectric detection imaging system is effectively reduced, the imaging resolution and the display effect of the photoelectric detection imaging system are improved, and miniaturization and portability of the photoelectric detection imaging system are facilitated.

The invention discloses a femtosecond laser three-dimensional pumping detection imaging method, which belongs to the technical field of ultrafast laser observation, and particularly comprises the following steps of: generating a laser pulse by using an ultrashort pulse laser, splitting the laser pulse by using a beam splitter to generate two beams of pulse light, namely pumping light and detection light, ablating a material by using the pumping light as an excitation source, reflection or transmission imaging is realized at different moments after the probe light passes through the time delay table; a detection angle is freely adjusted in space around a sample to be detected by rotating the light path propagation system, and a detection mode is switched between a reflection mode and a detection mode by rotating the imaging system; a multi-angle two-dimensional transient image is fused into a three-dimensional graph, plasma and a double-temperature model are expanded, the electronic dynamic characteristics of three-dimensional space distribution and the plasma eruption process can be calculated in an ultrafast scale, and three-dimensional information of a femtosecond laser ablation material is reduced. The problem that an existing imaging method cannot achieve three-dimensional imaging of the femtosecond laser processing ultrafast process at any angle in the space is solved.

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.