645results 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.

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.

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.

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.

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.

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.

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 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.

A circular dome for photographing vehicles includes curved frames that support a skin. Contoured walls offset from the curved frames to define a recess adapted to receive cameras and lights for photographing vehicles around a perimeter of the dome. A door matching the contour of the curved frames completes the dome and is size to receive a vehicle, to collectively implement subtractive lighting along the perimeter of the dome. A system and method are provided for automatically photographing vehicles in an enclosable circular domed structure where an automated process captures a series of vehicle images and uploads the captured images to a web template for display and recordation.

The invention provides an image generation method, wearable equipment and AR glasses, and the method comprises the steps: responding to a generation instruction of a target image, determining the reading information of the target image in an on-chip memory, and enabling the reading information to comprise the metadata of the target image, a first reading address and offset data; according to the first reading address, determining a target memory in the plurality of off-chip memories and determining at least one target memory block in the target memory, the target memory block at least storing target pixel data of the target image; and determining and reading target pixel data in the target storage block according to the offset data so as to generate a target image according to the target image metadata and the target pixel data. According to the method and the device, the problem of data secondary copying generated when the off-chip memory reads the image data can be solved, and the image generation efficiency is improved.

An electronic apparatus for storing wine includes a door; memory storing instructions; a camera; and at least one processor, wherein the instructions, when executed by the at least one processor, cause the electronic apparatus to acquire a captured image via the camera based on the door being open; acquire, based on the captured image, wine storage information including a shelf location where a wine object is placed and a wine location of the wine object; acquire wine feature information corresponding to the wine object; store wine information including the wine storage information and the wine feature information in the memory; and transmit the wine information to a user terminal to cause the user terminal to display at least one of the wine storage information, the wine feature information, a storage recommendation based on the wine information, or a food pairing recommendation based on the wine information.

Disclosed is a system for assisting in guiding and performing a procedure on a subject. The subject may be any appropriate subject such as a living or non-living subject or inanimate object and / or an animate object.

A method for intraoral imaging generates one or more output imaging signals from an intraoral probe and acquires multimodal image content from intraoral surface locations according to tissue response from the one or more imaging signals and associates spatial coordinates to the acquired multimodal image content. A surface contour of the patient dentition is generated by stitching the acquired multimodal image content and preserving the association of spatial coordinates with the stitched multimodal image content. Tooth outlines for one or more teeth are generated from the generated surface contour and the generated outlines arranged as a dental chart representing a spatial ordering of the one or more teeth and of supporting gum tissue adjacent to the teeth. The dental chart is populated by analyzing the acquired multimodal image content and associating the analysis to positions on the dental chart according to the preserved association of spatial coordinates and is displayed.

A stream of events from an event-based sensor is processed for trajectory determination. Each event comprises a pixel position in a pixel array of the event-based sensor, and a time stamp. A grid of cells is defined for the pixel array, with each cell comprising a plurality of pixels. In the trajectory determination, incoming events are mapped to the grid of cells during a first time period, and summary data with a representative position for the pixel positions that fall within the respective cell during a first time period is generated. An intra-cell evaluation of the summary data generated for a second time period is performed to generate a cell trajectory of representative positions within the respective cell. An inter-cell evaluation of a plurality of cell trajectories generated for a plurality of cells for the second time period is performed to generate a grid trajectory.

The invention relates to the technical field of surveying and mapping information, and discloses a data access method for quickly displaying and browsing massive point clouds, which comprises the following steps: sequentially reading obtained original point cloud data files into a memory in batches; reconstructing the batch data in the memory into spatial rule data with an octree structure; and sequentially writing the reconstructed spatial rule data into a target file in batches to obtain a customized massive point cloud data file. And based on the customized massive point cloud data file, only the spatial data corresponding to the root node of the octree is retrieved and loaded during display, and only the spatial data in the corresponding range of the view area is retrieved and loaded during browsing. The data access method for quickly displaying and browsing the massive point clouds has the advantages of quickly displaying the point cloud data with ultra-large data volume on a common computer and realizing smooth browsing.

An image processing apparatus includes: a virtual viewpoint image generation unit configured to generate a virtual viewpoint image on the basis of a plurality of captured images from a plurality of imaging units configured to be mounted on a movable apparatus; and a specification unit configured to specify, as a projecting region, a region where a structure projecting from the movable apparatus has been imaged in the captured images, the virtual viewpoint image generation unit is configured to generate the virtual viewpoint image such that the projecting region specified by the specification unit is not included.

The invention relates to a binocular visible light and infrared image fusion method and device and computer equipment, and the method comprises the steps: reading two paths of visible light image data when the real-time cache line number of each path of visible light image data collected by a binocular sensor reaches a preset line number; the preset line number is determined by a lens distortion parameter of the binocular sensor and a preset correction algorithm parameter; reading infrared image data corresponding to the visible light image data, and respectively correcting each path of visible light image data and infrared image data; and splicing the corrected two paths of visible light image data in real time, and performing real-time fusion based on a splicing result and the corrected infrared image data to obtain a target image. According to the invention, the problems that the output delay of the fused image is high and the real-time output cannot be ensured are solved, the output delay of the fused image is effectively reduced, and the real-time output is ensured.

Disclosed are a method, a device, and a recording medium, according to one embodiment, the method comprising the steps of: acquiring scan data for an oral cavity; acquiring undercut data including data on undercut location and undercut depth determined on the basis of an insertion path of an insert body corresponding to the oral cavity; acquiring an oral modeling image including an undercut area divided into a plurality of areas on the basis of the scan data and the undercut data; acquiring an updated oral modeling image on the basis of the undercut depth for an area adjacent to a target area according to a user input applied to the target area including one of the plurality of areas; and displaying the updated oral modeling image.

Systems, methods, and computer program products are provided for detecting connection of a medical device to a needleless connector. An example system includes an image capture device and at least one processor. The image capture device may be configured to capture a set of images of a movable component of a needleless connector. The at least one processor may be configured to receive the set of images of the movable component of the needleless connector; and process the set of images of the movable component of the needleless connector to determine whether a medical device is connected to the needleless connector.

A system may include a waterslide having a waterslide entrance and a waterslide exit. The system may include a first camera positioned at the waterslide entrance in which the first camera may capture a first video feed. The system may include a second camera positioned at the waterslide exit in which the second camera may capture a second video feed. The system may include a processing device that may: determine an incoming guest count at the waterslide entrance by detecting a ride vehicle occupancy at the waterslide entrance based on the first video feed; determine an outgoing guest count at the waterslide exit by detecting the ride vehicle occupancy at the waterslide exit based a second video feed; and match the incoming guest count and the outgoing guest count.