2832 results about "Image acquisition" patented technology

We provide the system. [Solution] A processing device for acquiring image data using an input device and analyzing the characteristics of an animal from that image data, A computing device that acquires data using an input device and analyzes the characteristics of animals from that data, A search means that searches for matching information by comparing it with existing information in an information storage device based on the characteristics of the analyzed animal, A notification means that notifies relevant individuals based on the search results, A means including a method for acquiring the characteristics of an animal using an image acquisition device and transmitting them to a computing device in real time, A system that includes this.

Embodiments of the present application disclose an object grabbing method, a computer readable storage medium and an electronic device. The method comprises: obtaining an RGB image collected by an image collection device for a target container in a grabbing work area, the RGB image comprising image content related to a plurality of objects stacked in the target container; calling a feature extraction model with the RGB image as input, and determining a target object to be grabbed and extracting feature information of the target object from the RGB image by the model; if the feature information indicates that a physical label is attached to the outer packaging of the target object, and the hardness information of the outer packaging material is not greater than the hardness information of the physical label, determining a region where the physical label is located as a grabbing region; determining a target end effector capable of performing a grabbing operation on the physical label; and controlling an intelligent grabbing device to perform a grabbing operation on the grabbing region of the target object by the target end effector, thereby realizing intelligent grabbing of the target object. This helps to improve the success rate of grabbing, and the grabbing strategy is more universal and compatible.

The application provides a radiotherapy breathing control threshold adaptive adjustment method based on image feedback, which comprises the following steps: before any fraction treatment, guiding a patient to perform deep inhalation breath holding, and acquiring chest three-dimensional image data of the patient through an image acquisition device; determining whether a breathing control threshold optimization condition is met based on the chest three-dimensional image data; when the breathing control threshold optimization condition is met, optimizing the breathing control threshold, and determining a new breathing control threshold for triggering radiotherapy beam output. The application uses the real lung volume calculated by three-dimensional image as a feedback variable to adaptively correct the control threshold based on inhaled gas volume in the traditional ABC system, so as to establish a closed-loop breathing control mechanism based on internal anatomical state.

This invention relates to a two-stage battery positioning method and device for new energy vehicles, comprising the following steps: S1, establishing a positioning reference: using multiple image acquisition units set on the positioning device, and driven by corresponding moving components, to acquire and record the position information of multiple preset reference points on the battery; S2, disassembling and moving the battery; S3, first-stage coarse positioning: controlling the positioning device to return from the charging position to the initial position according to the recorded moving path; S4, second-stage fine positioning: finely adjusting the pose of the positioning device based on the recorded position information of the multiple preset reference points until the multiple image acquisition units are re-aligned with the corresponding multiple preset reference points. The above technical solution decomposes the positioning process into coarse positioning based on path memory and fine positioning based on a visual reference, balancing positioning speed and accuracy, significantly reducing the probability of positioning failure, and achieving fast, accurate, and stable battery positioning.

We provide the system. [Solution] Image acquisition device, An analysis device that analyzes images received by the aforementioned image acquisition device to identify products, An information collection device that collects information on products identified by the aforementioned analysis device, An explanation generation device that generates an explanation from the information collected by the aforementioned information collection device, A display device that visualizes the explanation generated by the explanation generation device, A display device that displays product information using the aforementioned display device, A system that includes this.

The application provides a millimeter wave radar and video fusion tower clearance real-time monitoring method, which comprises a video monitoring camera system and a millimeter wave radar system; first, the two systems are installed at the bottom of the cabin and rotated to point to the blade clearance area, realizing image acquisition and radar reflection point data acquisition in the blade movement cycle; then the controller system calculates the blade tip clearance value according to the collected image data and radar reflection points, qualitatively evaluates the deviation of the two according to the spatial relationship between the blade tip trajectory line and the blade tip reflection point, and ensures the high-precision clearance monitoring of the blade tip and the tower. The clearance monitoring method of the fusion of the two sensors can realize the functions of mutual checking of the accuracy between the systems in normal weather, selection of the clearance for unit control in severe weather, stronger environmental adaptability and working condition adaptability, and avoids the problems of failure of a single sensor due to environmental influence or low clearance accuracy.

A vehicular image display apparatus 10 comprises: an image acquisition unit 20 that acquires, as an image to be displayed, an image of a vehicle interior; an identification unit 32 that identifies , as a person to be displayed, a person appearing in the image to be displayed; an information acquisition unit 33 that acquires, as person-related information, information related to the person; an image generation unit 35 that executes image processing based on the person-related information acquired in advance by the information acquisition unit on a portion in which the person to be displayed appears within the image to be displayed to generate an alternative image; and a display unit 36 that can display the image to be displayed acquired by the image acquisition unit, and displays the alternative image instead of the image to be displayed under a predetermined environment.

The invention relates to a forklift truck (120a,b) for transporting goods (140), particularly in a warehouse. The forklift truck (120a,b) comprises one or more image acquisition units (130a), in particular cameras (130a), which are configured to acquire a plurality of image data of the forklift truck's (120a,b) surroundings, and a control unit (123) which is configured to add additional image information to the plurality of image data.Furthermore, the industrial truck includes a pair of data glasses (128), in particular an assisted reality pair of data glasses (128), which can be put on by a driver of the industrial truck (120a,b) and are designed to display the additional pictorial information, in particular the multitude of image data together with the added additional pictorial information, on a display element of the data glasses (128), in particular in an area of ​​the display element that lies in a secondary field of vision of the driver of the industrial truck (120a,b).

This invention relates to the field of computer graphics processing and 3D modeling technology, specifically to an automated intelligent generation system for 3D modeling of shoe exteriors. The system includes: data acquisition and streaming, where an image acquisition terminal generates and sends four-channel image data using a high-precision sensor array; feature reconstruction and representation, where a topological semantic reconstruction server extracts semantic features and constructs an initial geometric representation using an implicit function based on pixel alignment and a decoder to predict the symbolic distance function; topology optimization and segmentation, where topological streamline optimization and component semantic segmentation are performed based on the curvature field to generate a structured 3D model with independent component structures; and interaction and local updates, where an interactive terminal responds to user editing operations on independent component structures, sending local topology update commands, and the server performs parametric recalculation of the local mesh based on the commands. This invention solves the problem of the separation between geometric structure and semantic information, achieving real-time and refined model updates.

This utility model discloses a warehouse visual recognition device, including a loading vehicle body. The loading vehicle body includes a protective shell, a base plate, a drive motor, drive wheels, a steering wheel, and auxiliary support wheels. The drive wheels are limited and installed on both sides of the loading vehicle body via drive shafts. The base plate of the loading vehicle body is equipped with auxiliary support wheels. The device utilizes a combination of U-shaped fixing rods, U-shaped mounting rods, and buffer spring columns to prevent damage to the loading vehicle body due to collisions caused by external influences during operation. A high-definition image acquisition module and an image processing module preprocess the acquired images, effectively improving image quality. The recognition and analysis module employs a deep learning model trained on a large number of samples, enabling rapid and accurate extraction and recognition of warehouse features, significantly improving the efficiency of warehouse recognition. The supplementary lighting module automatically adjusts brightness according to lighting conditions, ensuring clear images can be acquired even in low-light environments.

The invention relates to a method for determining the position of a front camera (18) of a motor vehicle (4) in relation to at least one image-capturing device (6a, 6b), wherein a motor vehicle (4) region (31) to be evaluated is optically detected by the at least one image-capturing device (6a, 6b), and a 3D point cloud of the region (31) to be evaluated is calculated, the region (31) to be evaluated comprising a windshield (41) of the motor vehicle (4). The following steps are carried out: - identifying at least one first surface in at least one 2D image of the region (31) to be evaluated using an image-based segmentation algorithm, - identifying a second surface within the first surface using an image-based segmentation algorithm, the second surface being a surface of the front camera (18); and - determining the position of the front camera in the 3D reference system of the at least one image-capturing device (6a, 6b) by projecting at least one reference point of the second surface from the 2D image into the 3D point cloud.

A computing device receives calibration images acquired by an image sensor in the presence of infrared light emitted by an infrared light source and / or in the presence of a variable transmissivity screen between the image sensor and items behind the variable transmissivity screen. The computing device analyzes the calibration images to determine whether the image sensor is saturated and / or whether features of the items are discernible in the calibration images. When the image sensor is not saturated and / or the features are discernible, the computing device controls the infrared light source to adjust settings of the infrared light source and / or the variable transmissivity screen example to find settings where the image source is saturated and / or the features are not discernible. Such settings may be used in a block mode to prevent consumer cameras from acquiring images of the items.

A resilient image capture system and method of use is described. Embodiments of the system can be implemented to calibrate a display device in non-ideal lighting environment. The system can implement one or more methods to aid in calibrating the display device in the non-ideal lighting environment. A first method can be implemented to map UV coordinates between a display device and a camera.

This invention discloses a method and system for detecting coating defects on the surface of rollers based on image generation, belonging to the field of industrial product quality inspection technology. The method includes the following steps: acquiring continuous image data of the roller during a stable rotational speed phase and a sudden increase in rotational speed, recording the start time of the speed change, and generating rotational speed change identification information; organizing the continuous images in chronological order based on the rotational speed change identification information, comparing the brightness distribution of the images before and after the speed change, extracting areas of sudden brightness increase, and generating a set of bright areas. This invention achieves precise correspondence between image acquisition and roller operating state by introducing rotational speed change identification information, eliminating interference from sudden changes in illumination on texture recognition; and through dynamic backtracking of the texture real image set and peeling risk information, it achieves continuous tracking and adaptive detection of coating defects, improving recognition stability and detection reliability.

The present invention relates to a markerless-based object recognition method for walking images and a computer-readable recording medium having a program for performing the same. The method comprises: a walking image acquisition step in which a walking image of a pedestrian walking without a marker is acquired; a preprocessing step in which the walking image is preprocessed; and an object recognition step in which a pedestrian is recognized as an object for each frame of the preprocessed walking image. The invention also relates to a computer-readable recording medium having a program for performing the same.

The disclosure provides an image management method, server and image capture device. The method performs image inspection operations on uninspected second images among multiple first images arranged in chronological order. The operations include: identifying target objects and determining their orientations; evaluating the completeness of various parts of the target objects based on their orientations; and generating corresponding completeness codes. Finally, the image with the highest completeness code is selected as the target image for output. This method effectively filters out the most suitable images for person re-identification, thereby enhancing overall system performance.

This invention proposes a method and system for fault detection of power transmission line insulators based on semi-supervised ensemble learning and edge computing, comprising: Step S1: Constructing a hierarchical imbalanced insulator image dataset; constructing a high imbalance dataset in conjunction with actual power inspection scenarios; Step S2: Training a lightweight two-stage deep learning model on the host side; including training a lightweight two-stage model that meets the requirements for edge deployment on the development board; Step S3: Designing a semi-supervised ensemble learning fault diagnosis framework based on Fourier feature enhancement, achieving dual utilization of labels and data distribution through distance threshold collaborative decision-making; Step S4: Model conversion and lightweight deployment on edge devices, including implementing model inference on the development board; Step S5: Integrated fault detection and real-time response at the edge, including realizing an integrated process from image acquisition to target detection to fault diagnosis to alarm output.

This invention relates to the field of product quality inspection, and in particular to a visual inspection method and apparatus for tubular injection molded parts. It includes a visual inspection method for tubular injection molded parts, which detects dents, cracks, and impurities in the tubular injection molded parts through steps such as image acquisition, preprocessing, region segmentation, defect detection, defect judgment, and result output, and determines whether the parts are qualified based on the results. It also includes an inspection apparatus suitable for this method, consisting of a rotating stage, a visual recognition module, and a transfer module, which can realize the loading, inspection, unloading, and waste collection of tubular injection molded parts. This invention achieves the technical effects of efficient and accurate quality inspection of tubular injection molded parts, improving inspection efficiency and accuracy, and reducing labor costs.

The present application belongs to the technical field of gallium oxide doping regulation, and particularly relates to a gallium oxide micro-defect electrical property regulation method and system, which comprises: collecting a transmission electron microscope (TEM) bright field whole image of gallium oxide material; determining a plurality of defect sensitive areas, and performing stable cluster purification and regional clustering to form defect sensitive area clusters and de-cluster abnormal points; determining a representative area for each defect sensitive area cluster, collecting dark field images and high resolution images of the representative area and identifying defect types, and independently identifying the de-cluster abnormal points; pre-flowing according to the unrepairable leading area based on the representative area identification result; calculating a repair coefficient and recommending a doping parameter for the un-flowed area; the system is used to implement the above method, and the present application can reduce the subsequent image collection quantity and area-by-area identification burden, and improve the gallium oxide micro-defect detection and electrical property regulation efficiency.

The application discloses a kind of lamination batch polishing device and method, belong to high-end equipment manufacturing and precision machining technical field.The device includes rack assembly, material and feeding assembly, lamination polishing assembly and processing sleeve assembly.The core of the present application is that the lamination polishing assembly is provided with redundancy drive system consisting of main drive source and standby drive source, and polishing disc axial feed can be driven selectively, which greatly improves the reliability of equipment operation.At the same time, through the image acquisition unit and control unit integrated in the bottom of the processing sleeve, the full-process automation and intelligent control of lamination feeding, conveying, positioning, polishing and discharging are realized.The method is based on machine vision, realizes automatic correction of lamination, accurate positioning and self-adaptive clamping, and monitors the driving state in real time during polishing process, realizes seamless switching under fault.The present application solves the problems of low automation, lack of redundancy protection and insufficient processing precision stability in the prior art, and is especially suitable for efficient and high-reliability polishing of key lamination components in new energy, electronic information and other fields.

Efficiency of farm work is improved. A support device 2 according to one embodiment of the present disclosure includes: an image acquisition unit (imaging unit 20) for acquiring an image of a plant body in a field; a control unit 10 for determining, on the basis of the image, work to be executed on the plant body by a worker during a period in which the plant body is planted in the field; and a marking unit 30 for attaching a mark indicating the determined work.

This invention provides a method and apparatus for photoelastic stress reconstruction based on physically constrained deep learning, relating to the fields of experimental mechanics and optical mechanics. The method involves acquiring images of the interference fringe state of a transparent specimen under load to obtain multi-channel tensor input data; using a physically enhanced convolutional neural network model for feature extraction and processing, and performing differential calculations to obtain full-field stress component output data; visualizing and rendering the full-field stress component output data to obtain reconstructed visual data; comparing the full-field stress component output data with reference benchmark data, calculating error indices, and recording process time to obtain accuracy and efficiency evaluation data; and simultaneously integrating and displaying the reconstructed visual data and the accuracy and efficiency evaluation data to obtain a comprehensive evaluation and reconstruction result. This invention solves the inherent limitations of traditional phase unwrapping and stress separation techniques.