487results about "Image acquisition" patented technology

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.

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.

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 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.

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.

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.

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.

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.

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 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. (Figure 6A)

An imaging device includes a display control unit configured to display a first indicator indicating a recommended imaging position and a second indicator indicating a current imaging position in a superimposed manner on an imaging monitor image, and perform processing for changing display of the first indicator in accordance with image obtaining processing for obtaining image data, and an imaging control unit configured to perform the image obtaining processing in accordance with a result of a matching determination between the first indicator and the second indicator on a screen.

Methods and apparatus are disclosed for determining a distance from a cut face of an active sample to a target plane, using data acquired from a reference sample. The active and reference samples have congruent structure, allowing reference data to be used as an index. An SEM image of the cut face is compared with the reference data to determine position within the active sample, and thereby the remaining distance to the target plane. The technique can be applied repeatedly between phases of ion beam milling until an endpoint at the target plane is reached. Consistent, accurate endpointing is achieved. The technique is suitable for preparing 5-100 nm thick lamella for TEM analysis of electronic circuits and can be used in a wide range of applications. Variations are disclosed.

A method for inspecting a vehicle includes: acquiring a to-be-inspected image of an inspected vehicle (S11); acquiring a visual feature of the to-be-inspected image using a first neural network model (S12); retrieving a template image from a vehicle template library based on the visual feature of the to-be-inspected image (S13); determining a variation region between the to-be-inspected image and the template image (S14); and presenting the variation region to a user (S15). The system for inspecting a vehicle includes a radiation imaging device (150), a display device (130), an image processor (140), and a storage device (120). The present disclosure further includes a computer-readable storage medium.

To allow an image of a hand to be used for biometric authentication to be stably acquired even in a non-contact state.SOLUTION: A biological information acquiring apparatus includes a first camera for capturing a first image of a hand of a user inserted into an image capturing area, a second camera for capturing a second image of the hand of the user to be used for biometric authentication, and a processor for causing the second camera to capture the second hand image upon detection of a stationary state of the hand of the user based on the hand image captured by the first camera.SELECTED DRAWING: Figure 1

Both time resolution and recording time are attained even in the case where there are fluctuations in the walking speed of the subject. Iris image pick-up devices 401 to 404 perform image pick-up of an iris of a moving subject. Images from the iris image pick-up devices (401 to 404) are written to storage areas for transfer (521 to 524) in a memory (502). A readout device (504) reads out an image stored in the storage areas for transfer (521 to 524) to a storage area for image processing (525) at a frame interval corresponding to the movement speed of the subject. An image processing unit (503) executes processing using the image read out to the storage area for image processing (525).

The invention discloses a plant three-dimensional reconstruction and phenotype extraction platform and a plant three-dimensional reconstruction and phenotype extraction method, and relates to the field of computer vision. A data acquisition controller in the platform judges whether all target plants enter a shooting window according to the center line deviation of a shooting trolley and the distance between the target plants and a distance measurement module; if yes, a differential motor PID closed-loop control algorithm is adopted to control the shooting trolley to decelerate to a preset shooting speed, the shooting trolley is controlled to shoot the target plant at multiple visual angles at the same time, a processing module adopts a NeRF model to conduct three-dimensional reconstruction on the target plant according to the image set, and a target plant surface point cloud is obtained; processing the surface point cloud of the target plant by adopting a Pointnet + + segmentation model to obtain a point cloud subset of each leaf and a stem point cloud subset; and obtaining phenotypic parameters according to the stalk point cloud subset and the leaf point cloud subset. The method and the device have the advantages of high precision, fast processing and field operation adaptability.

The invention provides a novel graph and image processing system which comprises an image acquisition module which adopts a high-resolution image sensor, has automatic focusing and exposure adjusting functions and is used for quickly and accurately acquiring static image and dynamic video image data. According to the novel graph and image processing system provided by the invention, through a parallel computing technology and an efficient algorithm, the image processing time is greatly shortened, and an application scene with a relatively high real-time requirement is met; through application of a deep learning algorithm and multi-modal fusion processing, the accuracy of image recognition, classification and analysis is improved, and image features can be extracted and a target object can be recognized more accurately. The system integrates various image processing functions and can process multi-modal data, so that diversified requirements of different fields and different users are met; meanwhile, due to the real-time feedback and interaction functions, the user can operate and control the image processing process more visually and conveniently, and the satisfaction degree of the user is improved.

A method for constructing a table including information on a pooling type based on ranges of scale of at least one object in at least one image for constructing table is provided. The method includes steps of: generating a first pooled feature map by applying max pooling and a second pooled feature map by applying avg pooling; and acquiring a first candidate bounding box by using the first pooled feature map and acquiring a second candidate bounding box by using the second pooled feature map; and comparing a first degree of similarity between the first candidate bounding box and a GT bounding box with a second degree of similarity between the second candidate bounding box and the GT bounding box to thereby construct the table so as to include information on respective optimal pooling types by respective ranges of the scale of the object.

A method for monitoring eye strain implemented in an electronic device includes obtaining an infrared thermal image of eyes of a target user; analyzing the infrared thermal image of the eyes, and obtaining a temperature value of the eyes; monitoring whether the temperature value of the eyes is greater than a preset threshold of the eye temperature; and in response that the temperature value of the eyes is greater than the preset threshold of the eye temperature, outputting a prompt as to eye strain.