901results about "Image acquisition" patented technology

The invention relates to the technical field of industrial detection, and discloses a multi-channel self-adaptive glass component defect detection method which sequentially comprises the following steps: S1, multi-channel image acquisition; performing rapid switching and imaging of three illumination modes by adopting a time-sharing stroboscopic technology to obtain a multi-channel image of the glass component; s2, multi-channel image registration is carried out; s2, registering the multi-channel images obtained in the step S1 so as to align the features of the multi-channel images, and obtaining registered multi-channel images; s3, multi-channel feature extraction and fusion; performing single-channel feature extraction on the registered multi-channel image, and combining a channel attention mechanism and a space attention mechanism to obtain a multi-channel image fusion feature map; s4, segmenting a defect region; and S5, a post-processing scoring mechanism is used for preventing over-killing. Through a multi-channel image acquisition technology, multi-scale feature extraction in deep learning, a self-adaptive attention mechanism and a post-processing scoring mechanism are combined to prevent over-killing, and more efficient and more accurate plane glass component defect detection is carried out.

There is provided a computed tomography imaging system including a gantry including a rotating member on a rotating side, a stationary member on a stationary side, and a data communication system. The rotating member on the rotating side includes an X-ray source configured to emit X-rays, an X-ray detector configured to generate detector data, a data storage unit configured to store the detector data, and processing circuitry configured to process at least part of the stored detector data to generate a processed data set. The stationary member on the stationary side is communicatively coupled to the rotating member on the rotating side, and the data communication system is configured to transfer the processed data set from the rotating member on the rotating side to the stationary member on the stationary side.

The method according to one aspect of the present disclosure is a method being performed by an electronic device comprising at least one processor, the method comprising: acquiring at least one two-dimensional scan image by scanning of the three-dimensional scanner and generating a three-dimensional scan data set regarding a subject's oral cavity based on the acquired at least one two-dimensional scan image, the three-dimensional scan data set comprising multiple three-dimensional coordinate values; generating first plane data corresponding to a virtual occlusal plane; determining multiple reference coordinate values based on the three-dimensional scan data set; generating second plane data corresponding to an occlusal plane of the subject's oral cavity based on the multiple reference coordinate values; and aligning the three-dimensional scan data set on the virtual occlusal plane by matching the first plane data with the second plane data.

The invention provides a high-resolution machine vision detection method and system for precise chromatic aberration detection and a medium, and the method comprises the steps: carrying out the calibration of a camera based on a camera calibration tool, and synchronously calibrating a light source parameter and a color parameter; setting shooting parameters based on the calibrated camera, obtaining a workpiece image in real time, preprocessing the workpiece image, mapping the preprocessed image to a standard color space from an original RGB space, and extracting color features of the preprocessed image; comparing the color feature with the color feature of the standard sample, calculating a color difference index, and comparing with the color difference index based on a set color difference threshold to obtain a detection result; by calibrating various parameters of the camera, the visual detection precision is ensured, and by performing color space mapping on the workpiece image and analyzing the difference between the color difference index of the color feature and the color difference threshold value, the color abnormal area is accurately analyzed, and the detection precision of the abnormal color is improved.

A three-dimensional (3D) model generation method includes obtaining, based on a missing region of an initial 3D model of a target object, a camera pose sequence for performing photographing on the target object, where the initial 3D model is obtained by performing 3D modeling based on a first image sequence, and the first image sequence is obtained by performing photographing around the target object; obtaining a second image sequence, where the second image sequence is an image sequence obtained by performing photographing on the target object based on the camera pose sequence; and filling the missing region of the initial 3D model based on the second image sequence to generate a target 3D model.

An ultrasound modular front-end framework. An ultrasound modular front-end includesa first ultrasound front-end circuit that generates digital ultrasound data, and a communication module that is configured to be communicatively coupled to an ultrasound probe and a main console. The main console constructs ultrasound images based on the digital ultrasound data. The ultrasound front-end circuit is disposed within a housing that is separate from a housing of the main console.

In a general aspect, a data management system for spatial phase imaging is described. A data management system for spatial phase imaging includes: a storage engine configured to receive and store input data in a record format, the input data including: pixel-level first-order primitives generated based on electromagnetic (EM) radiation received from an object located in a field-of-view of an image sensor device; and pixel-level second-order primitives generated based on the first-order primitives. The data management system further includes: an analytics engine configured to determine a plurality of features of the object based on the pixel-level first-order primitives and the pixel-level second-order primitives; and an access engine configured to provide a user access to the plurality of features of the object determined by the analytics engine and to the input data stored by the storage engine.

The invention provides a calibration-free visual guidance alignment method based on multiple ArUco codes, and belongs to the technical field of image processing, and the method comprises the steps: installing an ArUco code positioning module on an operation target; the positioning module deploys the number, position and angle of ArUco codes according to a positioning requirement; a mechanical arm is controlled to approach a target through a manual teaching operation method to complete alignment, mechanical arm alignment images are collected in real time through a camera at the tail end of the mechanical arm, and pose information of all joints of the mechanical arm when the mechanical arm alignment images are synchronized; a guiding track is generated through a mechanical arm alignment image collected by a camera and mechanical arm joint pose information; and when the robot performs automatic positioning, the mechanical arm is driven to complete alignment according to the guide track by using the image feature relationship. According to the method, the problem that a complicated calibration process and specific texture or feature identification are needed when workpieces with complicated surface characteristics such as transparent parts, reflective parts and black parts are processed by a traditional positioning method is solved.

This document describes techniques and apparatuses for computational photography under low-light conditions for an image-capture device on a mobile computing device. In aspects, described are techniques and apparatuses for an image-capture device to utilize sensor data in determining whether to enable flash photography or capture multiple images of the scene without use of a flash under low-light conditions. In other aspects, an image-capture device may utilize device data in determining whether to enable flash photography or capture multiple images of the scene without use of a flash under low-light conditions. The disclosed techniques and apparatuses may provide improved computational photography under low-light conditions for an image-capture device on a mobile computing device.

A method for motion synchronization-based head pose estimation, by a head mounted display (HMD) device and an HMD device for performing the same are provided. The method includes receiving, by the HMD device, motion data from a plurality of motion sensors of the HMD device, receiving, by the HMD device, a plurality of image frames from at least one simultaneous localization and mapping SLAM camera of the HMD device, estimating, by the HMD device, a plurality of motion parameters of head movements of a user from the plurality of image frames received from memory, generating, by the HMD device, a filtered subset of the motion data received from the plurality of motion sensors based on the plurality of motion parameters of the head movements, synchronizing, by the HMD device, the plurality of image frames received from the memory and filtered subset of motion data, and estimating, by the HMD device, the head pose based on the synchronized plurality of image frames and motion data.

The invention provides a transmission time sequence dynamic configurable simulation image high-speed injection system and an operation method thereof, and the method comprises the steps: image transmission time sequence generation and system control software generates a simulation image transmission time sequence, controls NVMe SSD simulation image writing, and manages simulation image information and storage address information; recording a corresponding relation between a simulation image transmission time sequence and image storage information, and controlling the ARM-based transmission time sequence management module to start and stop working and select a task mode; the ARM-based transmission time sequence management module receives a simulation image transmission time sequence file through a network or a serial port for storage and management, and controls the FPGA-based simulation image transmission module to perform image transmission and start and stop; and the simulation image transmission module based on the FPGA receives the control command, reads a simulation image of the NVMe SSD, and outputs the simulation image through an optical fiber according to a transmission time sequence and a simulation image format requirement. According to the invention, a camera image transmission time sequence can be verified and a simulation image injection source can be provided for other equipment.

In one aspect, a computerized method useful for automating computer application tasks using application guides, markups and computer vision includes the step of automating a human-implemented computer task. This includes determining a human workflow via a set of images. This also includes automatically deriving the workflow based on the set of images and a set of human user inputs. The method includes the step of, based on the automated human-implemented computer task, automatically implementing a decisions on behalf of a human user. The method includes the step of, implementing the automated human-implemented computer task using an in-application guide or a computer-vision step to determine a task the human user has performed and then performing the same task as the human user.

A recognition system of a chip in a game parlor having a game table includes a game recording device which records a state of the chips stacked on the game table as an image using a camera and a chip determination device which analyzes an image of the state of the recorded chips to determine the number and the type of the chips bet by a player. The chip determination device has a function of storing a characteristic of an image of a predetermined state of the chip, and of outputting and displaying, as a determination result, a fact of an unclear determination when the image obtained from the game recording device at the time of determining is the image of the predetermined state.

A system and method is provided for measurements of building façade elements by combining ground-level and orthogonal imagery. The measurements of the dimension of building façade elements are based on ground-level imagery that is scaled and geo-referenced using orthogonal imagery. The method continues by creating a tabular dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and / or paint), windows or doors. The tabular dataset can be part of an estimate report.

The invention provides an image restoration method based on a memristor array genetic algorithm, and relates to the technical field of image processing. The method comprises the following steps: segmenting an image, converting a data matrix, and storing image gray value information by using a memristor array; encoding and initializing a population; calculating a fitness value, the process degrading the restored image into a degraded image, and comparing the degraded image with the original degraded image; biological heredity is simulated, in the process, the gray value of the image stored by the memristor is selected, crossed and varied, so that the gray value is converged to an optimal solution; and recovering the image, realizing memristive array iteration updating individuals through a genetic algorithm until a stopping criterion is met, and recovering the image. The method has the advantages that the advantages of storage and calculation integration, high-density array, parallel operation and the like of the memristor are utilized, partitioning processing is carried out on the image, the efficiency and the recovery effect of the algorithm are effectively improved, and the problems that due to the fact that the number of image pixels is large, an initial population is difficult to generate excellent individuals, and the convergence speed is low are solved.

Various methods and systems are provided for display of live images. In one example, a method for motion compensation in the live images includes acquiring a first set of imaging data from a visible sector of an imaging system, the visible sector including a region of interest displayed to a user, and acquiring a second set of imaging data at an area offset from the visible sector, during the acquiring of the first set of imaging data. The second set of imaging data is used to compensate for gross motion of the region of interest resulting in displacement of at least a portion of the region of interest outside of the visible sector.

Methods and systems for managing processes performed by a host device are disclosed. To manage the processes performed by the host device, the future state of operation of the host device performing the process may be identified. To identify the future state of operation, the actual state of operation at various points in time during performance of the process may be obtained. The actual state of operation may be obtained using information presented by a graphical user interface managed by a process performed by the host device at different points in time. By doing so, the identified future operating state may be used to manage the continued performance of the process to facilitate completion of the process.

The invention discloses a cloud-side-end collaborative meat intelligent detection system and a cloud-side-end collaborative meat intelligent detection method. The system realizes high precision, low delay and low resource consumption of meat detection through three-level cooperation of the mobile terminal, the edge device and the cloud server and a dynamic task scheduling strategy based on confidence, and is suitable for meat safety supervision in a large-scale and complex environment.

The embodiments of the disclosure provide an image data processing method for laser imaging, a computer device and a computer-readable storage medium. In the embodiments, in case where the gap distance corresponding to a previous laser is not an integer multiple of the preset width of pixel row, the image resolution for a scan area associated with a next adjacent laser is increased to the second resolution to decrease the width of pixel row in the associated scan area, thereby more pixel rows may be obtained in the same area in the raw scan image, and the pixel rows closer to the position actually scanned by the laser spot may be selected as the target pixel rows, which may decrease the deviation between the position of the pixel row actually scanned by the laser and the theoretical position of the pixel row, and further improve the laser scan imaging accuracy.

Provided is an artificial intelligence (AI) system that mimics functions, such as recognition and determination by human brains, by utilizing a machine learning algorithm, such as deep learning, and applications of the AI system. An image acquisition device is disclosed including a camera configured to acquire a first image, wherein a portion of a main object is hidden from the camera by a sub-object; at least one processor configured to input the first image to a first AI neural network; detect, by the first AI neural network from data corresponding to a plurality of objects included in the first image, first data corresponding to the main object and second data corresponding to the sub-object from the first image by inputting the first image to an AI neural network, remove the sub-object from the first image, and generate, using a second AI neural network, a second image by restoring third data corresponding to at least a portion of the main object hidden by the removed sub-object by using the AI neural network, wherein the third data replaces the second data; and a display configured to display at least one of the first image and the second image.

A display apparatus transmits a picture acquisition request for getting picture information to an external image apparatus connected through a predetermined interface to the display apparatus from the external image apparatus at predetermined intervals and gets a plurality of pieces of picture information from the external image apparatus to be displayed. The plurality of pictures may be switched at predetermined intervals, for example, to be displayed, so that the plurality of pictures may be displayed in a so-called slide show manner. A plurality of pictures for thumbnail may be produced from the plurality of pieces of picture information and be arranged together to be displayed in one picture screen of a display device.

An alpha channel is generated, typically in real time, using image data acquisition that contemporaneously captures image data representing the visible portion of the light spectrum and image data representing the invisible portion of the light spectrum. In some embodiments, the invisible portion of the light spectrum is generated by a fluorescent dye applied to an object or actor in a scene, while in other embodiments the invisible portion of the light spectrum is generated by a light source located behind the object or the actor.

The invention provides a welding spot cavity and bridging defect intelligent automatic test system, and relates to the technical field of defect detection, and the method comprises the steps: a data collection module is used for collecting image data of a to-be-detected welding spot, carrying out the standardization processing, and obtaining standard image data; the void defect detection module is used for identifying a low-density region in a standard image data welding spot, calculating an area proportion, and if the area proportion exceeds a preset area threshold value, judging that the welding spot is a void defect; the bridging defect detection module is used for calculating the minimum distance between standard image data welding spots, and if the minimum distance is smaller than a preset distance threshold value, a bridging defect is judged; the confidence coefficient analysis module is used for obtaining the detection confidence coefficient and re-collecting image data for secondary analysis of a detection result lower than a confidence coefficient threshold value; and the report generation module is used for generating a structured detection report comprising the defect type and the defect severity level. The technical problem that in the prior art, welding spot cavities and bridging defect detection accuracy is not high is solved.

Systems, methods, devices, media, and computer-readable instructions are described for local image tagging and processing in a resource-constrained environment such as a mobile device. In some embodiments, characteristics associated with images are used to determine whether to store content (e.g., images and video clips) as ephemeral content or non-ephemeral content. Based on the determination, the image is stored in a non-ephemeral camera roll storage of the mobile device, or an ephemeral local application storage. Additional storage operations such as encryption or backup copying may additionally be determined and performed based on the analysis of the content. In some embodiments, such images may be indexed, sorted, and searched based on the image tagging operations used to characterize the content.

A medical visualisation system including a main component including an image sensor and a light emitter; a first auxiliary component configured to transmit image data based on the signals; a second auxiliary component configured to receive signals from the main component and to transmit image data based on the signals, the second auxiliary component including a second memory having embedded therein data; and a video processing apparatus including a high frequency wireless transceiver configured to establish an image data communication channel with the high frequency wireless transceiver of the first auxiliary component or with the high frequency wireless transceiver of the second auxiliary component and to receive the image data with the image data communication channel, wherein the first auxiliary component is configured to, based on the data, cause adjustment of one or more components of the main component or the video processing apparatus.

A computer-implemented method for combining a plurality of road graphs that partially overlap with an adjacent area, the method comprising: an acquisition step of acquiring a plurality of road graphs; a labeling step of grouping the plurality of road graphs into groups, and assigning a label to each of the road graphs in each of the groups; and a merging step of selecting one label and executing, in parallel for the groups, a process of merging a first road graph to which the selected label is assigned and a second road graph adjacent to the first road graph, wherein the merging step is repeated, with selecting a different label in each repetition, until all of the plurality of road graphs are merged.

A foreign matter detection device (10) for detecting foreign matter contained in scrap, said device comprising: an image acquisition unit (131) for acquiring images captured by a camera that moves so as to follow a work unit performing prescribed work on the scrap and captures images of the surroundings of the work unit; and a determination unit (132) for detecting candidates for the foreign matter on the basis of the images and determining the presence / absence of foreign matter on the basis of detection results for the candidates for the foreign matter.

The invention relates to sensor system arrangements and configurations. In particular, the invention provides methods, devices, systems and computer program products for integrating, compositing and / or processing data representing a measurable state within a region-of-interest, that has been received from a plurality of sensors that respectively have different input sensitivities, spectral sensitivity ranges and / or input capture ranges.

The invention provides a blind area point cloud self-adaptive completion method and a welding seam automatic tracing method applying the same, and the method comprises the following steps: starting a camera, and collecting 3D point cloud data of a target object; processing the 3D point cloud data, and analyzing an area where a target blind area to be supplemented is located; the execution mechanism is controlled to drive the laser contourgraph to move to the position near the target blind area, the execution mechanism is controlled to drive the laser contourgraph to scan the target blind area, and contour data of the target blind area are obtained; and identifying the welding seam in the blind area according to the collected blind area data. According to the method provided by the invention, the area of the blind area caused by the limited visual field of the camera is analyzed, the blind area range is scanned by using the laser contourgraph, the blind area point cloud of the method is adaptively completed, and the complete feature information including the blind area is obtained by combining the global shooting of the camera with the local fine scanning of the contourgraph. And features in blind areas such as welding seams are automatically tracked based on complemented data.