112 results about "Image pattern" patented technology

Various embodiments of the present disclosure relate to operator assistance based on operator monitoring. For instance, during long drives, a driver may become drowsy or may not otherwise be alert. As such, particular embodiments have the capability of starting a conversation with the driver based on driver interests and / or detecting that the driver is getting drowsy. In an illustrative example, a Driver Monitoring System (DMS) camera of a vehicle may employ a component that derives pixel-level information showing head nodding, hands dropping, or the like. Based on image pattern characteristics in the image data, particular embodiments generate a score representing an alertness level. A representation of the alertness level can be provided as input to a machine learning model so that the model may generate a suitable natural language or other response, such as starting a conversation with personalized trivia, sending a control signal to honk a horn, or the like.

Several embodiments of the present disclosure relate to providing assistance to the operator based on operator monitoring. For example, a driver may become drowsy or otherwise inattentive during long journeys. Therefore, certain embodiments are able to initiate a conversation with the driver based on the driver's interests and / or the detection of drowsiness. In an illustrative example, a camera of a vehicle's driver monitoring system (DMS) may employ a component that derives pixel-level information indicating head nodding, dropping hands, or the like. Based on image pattern properties in the image data, certain embodiments generate a numerical value representing a level of attention.A representation of the level of attention can be provided as input for a machine learning model, so that the model can generate a suitable natural language or other response, such as starting a conversation with personalized trivialities, sending a control signal to honk the horn, or the like.

The invention provides a leaf image mode classification method and system for double cropping rice spike fertilization, and the method comprises the steps: collecting a first leaf image parameter array and a second leaf image parameter array at a preset time window of target double cropping rice and at a plurality of positions of a first leaf and a second leaf; carrying out image parameter discrete analysis on the parameter arrays to obtain a first dispersion and a second dispersion, and calculating to obtain a leaf pollution degree by combining a preset dispersion; and carrying out averaging processing and leaf pattern classification on the parameter array, and respectively obtaining two leaf pattern arrays based on the image parameters and the pollution degree, thereby determining a suitable leaf pattern and carrying out double cropping rice fertilization. The technical problem of insufficient fertilization recommendation accuracy on different fields due to insufficient test data volume in the prior art is solved, and the technical effects of realizing accurate regulation and control of the panicle fertilizer and improving the fertilization recommendation accuracy by analyzing pattern classification of double cropping rice leaf image parameters and pollution degrees are achieved.

The invention provides a self-adaptive reverse multiple exposure phase fusion technology, and relates to the field of high-dynamic-range three-dimensional reconstruction. The method includes the following steps that firstly, a saturated pixel mask matrix is obtained by judging pixels of a high-reflection area, then uniform grey-scale maps are selected step by step through a gradient adjustment method to obtain the optimal local projection intensity, and local coding and decoding are conducted on the high-reflection area through the optimal projection intensity pattern. And replacing an invalid phase value in the high-SNR image with a local phase value under the optimal projection intensity through an edge matching and phase fusion technology, and obtaining high-quality complete three-dimensional imaging information through coordinate mapping after a complete phase diagram is obtained. According to the method, the optimal projection intensity is adaptively determined through a small number of patterns, meanwhile, the high SNR of imaging patterns is guaranteed, and high-precision complete three-dimensional imaging is carried out on an HDR object. Experimental results show that in a traditional method, a large number of point clouds are lost in a saturated pixel area, the imaging integrity and the measurement precision cannot achieve the normal imaging effect, and the algorithm of the invention shows high integrity and high point cloud density in a dark area and a high-reflection area.

Grouping image patterns using a trained machine learning model to determine wafer behavior in a patterning process is described. The described operations include converting one or more patterned process images including the image patterns into feature vectors based on a trained machine learning model. The feature vector corresponds to the image pattern. The described operations include grouping feature vectors having features indicative of image patterns that cause matched wafer and / or wafer defect behavior during the patterning process based on a trained machine learning model. The one or more patterned process images include a spatial image, a resist image, and / or other images. The grouped feature vectors may be used to: detect potential patterning defects on a wafer during a lithographic manufacturability test as part of optical proximity correction; adjusting the layout design of the mask; and / or generating a track gauge line / defect candidate list; and other uses.

According to an embodiment, an image forming apparatus executes, if an execution frequency setting of positional deviation correction in setting information is equal to or larger than a reference value, the positional deviation correction by using an image pattern for positional deviation measurement that is formed to be equal to or larger than one cycle of a transfer belt. Further, the image forming apparatus executes, if the execution frequency setting of the positional deviation correction in the setting information is less than the reference value, the positional deviation correction by using an image pattern for positional deviation measurement that is formed to be smaller than one cycle of the transfer belt.

The invention relates to the technical field of medical informatics, and provides an interstitial lung disease HRCT image analysis method and system based on artificial intelligence. The method comprises the following steps: performing pulmonary parenchyma segmentation processing on an input HRCT image to obtain a pulmonary parenchyma region; performing multi-category lesion segmentation on the pulmonary parenchyma region to obtain a segmentation mask; performing quantitative calculation on lesion distribution characteristics according to the segmentation mask to obtain lesion distribution parameters; and carrying out image mode classification according to the segmentation mask and the lesion distribution parameters to obtain a classification result. According to the method, the efficiency and precision of HRCT image analysis are improved, and the application range of HRCT image analysis is expanded.

A method for driving a display device is performed by the display device. The method includes: displaying a first image including user convenience information through a display panel; generating sensing data corresponding to a fingerprint sensing area by using a photoelectric sensor; and determining whether a sensed fingerprint corresponding to the sensing data is a fake fingerprint by comparing expected sensing light illuminance information based on the first image with sensed light illuminance information of the sensing data. The first image includes a first color pattern in the fingerprint sensing area of the display panel. A fake-determination image pattern includes the first color pattern and a second color pattern different from the first color pattern.

A method is provided that determines authenticity of a second recording medium mounted in a second device by using a first device mounted with a first recording medium. A non-user area of the first recording medium previously records first identification information and first algorithm data. A controller of the first recording medium causes a first display device to display a first image pattern and, after display of the first image pattern, causes a first imaging device to capture a second image pattern displayed on a second display device of the second device. The controller decodes first code data from the second image pattern and utilizes the first algorithm data to perform arithmetic that uses the first identification information and a first variable value. The controller determines the second recording medium to be authentic if the decoded first code data matches an arithmetic result.

An image forming apparatus includes a powder holding member and a transfer member. The powder holding member holds a powder pattern constituted by powder on a surface. The transfer member constitutes a nip part for nipping a recording medium on which an image pattern is formed with the powder holding member, and pastes powder constituting the powder pattern to the image pattern at the nip part. The image forming apparatus also includes a powder supply member that supplies powder to the surface of the powder holding member, and an adhesion force of the powder to the conveyance member is smaller than an adhesion force of the powder to a part where the powder pattern is formed on the surface of the powder holding member.

A method for determining at least one height of a surface of an object comprises projecting a patterned radiation beam onto an object so as to form an image of a pattern. The image of the pattern comprises first and second portions, each of the first and second portions comprising at least one line, wherein at least one line of the first portion is disposed at a non-zero angle to at least one line of the second portion. The method further comprises receiving a portion of the patterned radiation beam reflected from the substrate. The method further comprises determining at least one height from a combination of: (a) a part of the received portion of the patterned radiation beam reflected from the first portion of the pattern; and (b) a part of the received portion of the patterned radiation beam reflected from the second portion of the pattern.

A device for uniformly feeding and paving granular crops comprises: a uniform feeding silo for controlling the speed and flux of granular crops during feeding and conveying, and for automatically paving, dispersing, and evenly distributing the crop particles; a linear vibration module disposed at the bottom of the uniform feeding silo; a uniform speed perturbation module disposed within the uniform feeding silo; a visual monitoring module disposed at the outlet of the uniform feeding silo; a material conveying module; an image acquisition module; and a computer system. The present invention uniformly spreads and disperses large quantities of granular crops within the imaging field of view of a machine vision module, and adjusts the feeding speed and flux in real time according to changes in the density of the crop particles, so that the sample particles form an easily detectable image pattern and maintain the spatiotemporal uniformity of the feeding, thereby utilizing the detection and recognition algorithm combined with the device to perform efficient and intelligent appearance quality and quarantine testing on large quantities of granular crops. This is a key technical issue that urgently needs to be addressed in the field of food security.

This invention relates to the field of physics experiments, and more particularly to a convex lens imaging experimental method and system based on machine vision and data collaboration. The system includes a guide rail, a convex lens, a sliding frame, a light source, a support frame, a stepper motor, a lead screw, a screen, an extension arm, a camera, a controller, and a processor. This invention automatically identifies the optimal imaging position by combining a camera and a processor, eliminating the subjectivity of human judgment, improving the objectivity and reliability of experimental conclusions, and uploading experimental data to the cloud in real time. This enables the aggregation, sharing, and visualization analysis of multiple sets of data, ensuring the objectivity and accuracy of a single measurement while supporting the summarization of imaging patterns from multiple sets of data, thus enhancing the scientific rigor and depth of the experiment.

The invention discloses a camera quality detection method and system based on data analysis, and relates to the technical field of camera quality detection, and the system comprises a position determination module which is used for determining the positions of a camera and a to-be-shot image; the imaging feedback module is used for acquiring a pattern image of the camera and feeding the pattern image back to the system platform to splice a Sudoku image; the pattern recognition module is used for recognizing the sudoku image based on a sudoku image algorithm and matching a pattern recognition result with pattern information stored offline in advance; and the quality detection module is used for mapping the condition of abnormal pattern imaging to a corresponding camera index directory, determining the number of the camera for shooting, and feeding back the quality problem of the corresponding camera. According to the method, the group of patterns are shot through each group of cameras, the structure information of each pattern picture is recognized through an algorithm, the pattern image with problems is obtained, and the subdivision quality problem occurring in the cameras is recognized.

An LED light device has geometric art lighted pattern surrounding has an AC power or DC power pack incorporated with Circuit to drive LED light beam pass though decorative pieces which has geometric art, design, window, printed film, slide, holes, cutouts to form the desire geometric image, art, shape, character lighted pattern surround the LED light has the Prongs, lamp base, Battery pack to shown the lighted geometric art, image pattern surrounding the said LED light on the wall, ceiling, surface.

1. The name of this design product: Rotating Projection Lamp (Tree Top Star). 2. The purpose of this design product: used for image pattern projection in homes, festivals, scenes, decoration, lighting, etc. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1.

The invention discloses a monitoring information full-process management and control method and system based on artificial intelligence, and belongs to the technical field of computers, and the system comprises a process management and control middle table, a self-adaptive acquisition module, a transmission flow prediction module, a data transmission module, a data analysis module and a visual presentation module. Determining image acquisition parameters, acquiring image information of a target area, outputting a future transmission flow prediction result, determining a transmission bandwidth size, transmitting the image information according to the transmission bandwidth size, and obtaining an image feature, an image mode and an image analysis result output by the multi-dimensional analysis model; and generating an information presentation interface from the image features, the image modes and the image analysis results according to the user portrait and the current use scene, and displaying the information presentation interface. According to the invention, the quality of image information and the real-time performance and reliability of transmission are improved, and the analysis capability of monitoring information and the decision-making efficiency of the whole management and control process are improved.

This invention relates to an image forming apparatus that, in film formation processes, reduces toner consumption in the toner image pattern of an image while suppressing detection errors in the adhesion detection mechanism. The image forming apparatus forms a toner image pattern, such as a scraping toner pattern (Kp), which is input to a cleaning component, such as a cleaning squeegee, used to clean the surface of an image carrier (e.g., an intermediate transfer belt), without transferring it to a recording medium. This toner image pattern is a long strip-shaped pattern in an orthogonal direction to the surface movement direction of the image carrier. Furthermore, the toner image pattern is formed by a method in which the input toner dose to a location corresponding to the placement position of the adhesion detection mechanism (e.g., an optical sensor (40F, 40C, 40R) of the cleaning component) is greater than the input toner dose to a location not corresponding to the placement position of the cleaning component.

A method is provided for fabricating an optical lens using vat photopolymerization (VPP). The method includes generating a digital lens model and printing the lens in discrete layers along a print direction. During printing, defocused image patterns are projected to mitigate lateral surface pixelation across the layers. Following printing, a photocurable resin is applied to the outer surface of the lens. The lens is then spin coated, distributing the resin uniformly and smoothing layered steps along the print direction. Finally, the coated resin is cured, producing a lens with improved surface quality.

Disclosed herein is a computing system. The computing system includes a memory and a processor. The memory stores processor-executable instructions for a workflow recommendation assistant engine. The processor is coupled to the memory. The processor executes the workflow recommendation assistant engine to cause the computing device to analyze images of a user interface corresponding to a user activity, perform pattern matching of the images with respect to existing automation, and provide a prompt indicating that an existing automation matches the user activity.

Arrangements for detecting polymorphic botnets using a pattern matching engine are provided. The platform may train a pattern matching engine to generate image pattern statuses based on a training set of historical image patterns. The platform may automatically generate real-time interaction information based on monitoring interactions between user devices and cloud platforms. The platform may generate a potentially malicious image pattern based on the real-time interaction information. The platform may then input the image pattern into the pattern matching engine to generate an image pattern status for the image pattern. The platform may store the image pattern to a pattern storage repository. Based on identifying the image pattern as malicious, the platform may initiate a security action. The platform may update the pattern matching engine based on the image pattern and its image pattern status to detect future polymorphic botnet attacks.

The invention discloses an optical lens adjustment method and system, and the method comprises the steps: collecting a lens imaging image through an image sensor, and analyzing the image deformation of the lens imaging image, and obtaining an image deformation value; comparing the obtained image deformation value with an image deformation threshold value, and if an unqualified signal is generated, determining that the lens image is unqualified; based on the unqualified signal, analyzing all potential factors possibly causing lens imaging pattern change; obtaining a change correlation value; comparing the obtained change correlation value with a change correlation threshold to generate a correlation signal and a non-correlation signal; based on the correlation signal, obtaining a correlation influence factor; analyzing the correlation influence factors to obtain a correlation degree value; arranging the correlation influence factors based on the correlation degree values, and adjusting the optical lens according to the arrangement sequence of the correlation influence factors until the lens imaging picture is qualified; according to the invention, the adaptability of the lens under the influence of different factors is enhanced, and stable imaging quality is maintained.

A mechanical physical pixel screen image display system (100) and method (200) based on servo cluster control, which are applied to the field of mechanical physical pixel screen image display or the field of kinetic skins. The system (100) comprises: an image data acquisition module (101), which acquires source data of a video or an image; an image pixel collection module (102), which collects, according to the resolution of a mechanical physical pixel screen, a pixel value of a corresponding coordinate position in a video frame or in the image, so as to obtain pixel data; a pixel motion mapping unit (103), which is used for mapping pixel grayscale data into servo motion data of each physical pixel unit; and a cluster signal transmission module (104), which is used for distributing the servo motion data to a control module (105) of a corresponding physical pixel unit by means of a cluster network, and performing synchronous servo control on each physical pixel unit to move precisely by a certain value, such that the mechanical physical pixel screen presents an image pattern corresponding to the frame or image of the source data. Thus, the dynamic display process of a mechanical physical pixel screen, from the input of source data of a video or an image to physical pixel frames, is realized.

To provide a floating display device.SOLUTION: A floating display device comprises a display light source, an optical imaging sheet, and a microlens array sheet. The microlens array sheet includes a plurality of microlenses arranged in an array. The optical imaging sheet includes a plurality of sub-image units arranged in an array, corresponding to the microlenses. The sub-image units have a plurality of first sub-image units and a plurality of second sub-image units. Each of the first sub-image units has a first main image pattern, each of the second sub-image units has a second main image pattern, and the first main image pattern and the second main image pattern have the same pattern. The second sub-image units are arranged so as to constitute an auxiliary image pattern, at least partial second sub-image units each have a base image pattern, and the base image pattern is located around the second main image pattern.SELECTED DRAWING: Figure 1

An image recognition system includes: an acquisition unit that acquires a captured image from a camera mounted on a vehicle; a person recognition unit that recognizes a human in the captured image; and a determination unit that takes the human in the captured image as a subject person, and determines, from the captured image, whether or not the subject person is carrying baggage. The determination unit extracts a partial image from the captured image, the partial image having a predetermined shape and size and including a hand of the subject person in the captured image, and, when an image pattern different from a background image is recognized at a tip of the hand in the partial image, determines that the subject person is carrying baggage.

An information handling system includes a camera and a display controller. The camera captures multiple images to form a video stream. The display controller outputs a background image pattern on a display screen. The color temperature and the brightness of the background image pattern are set to defined levels. The display controller receives the video stream from the camera. The display controller outputs the video stream as a separate stream from the background image pattern on the display screen. The luminance of the video stream is controlled independent from the color temperature and brightness of the background image pattern.

The invention relates to the field of image processing technology and image mode classification, and particularly provides a mode classification method based on multi-scale basic belief allocation negation, which comprises the following steps: dividing a preprocessed image into feature maps of different scales through a feature pyramid network; carrying out convolution on the feature map and outputting a total feature map of full connection layer features; different distances are calculated for different scale features in the total feature map, and a point double-sequence correlation coefficient and a membership degree are added to calculate a basic belief distribution value; transversely splicing the basic belief distribution values into a basic belief distribution graph of each class; defining negative of basic belief distribution, expressing all basic belief distribution on the basic belief distribution graph in a negative form, and calculating the accuracy of the model corresponding to the quality function; calculating the negative of the weight corresponding to the quality function of the basic belief distribution; and calculating an output category based on the negative of the weight corresponding to the quality function and the negative of the basic belief distribution, thereby realizing the efficient recognition of the image category and improving the recognition accuracy.

The flash system here is able to modify the flash from a flash unit to suit the subject being photographed. The camera (a digital camera or a smartphone camera) takes two very quick shots of the subject in rapid succession. The first shot serves only to gather information about the light distribution. This image is displayed on an inactive, transparent LCD screen. The first version only compensates for the lighting conditions (using a black-and-white LCD screen), while the second (with a color LCD screen) can also enhance color contrast.

According to an embodiment, an image forming apparatus executes, if an execution frequency setting of positional deviation correction in setting information is equal to or larger than a reference value, the positional deviation correction by using an image pattern for positional deviation measurement that is formed to be equal to or larger than one cycle of a transfer belt. Further, the image forming apparatus executes, if the execution frequency setting of the positional deviation correction in the setting information is less than the reference value, the positional deviation correction by using an image pattern for positional deviation measurement that is formed to be smaller than one cycle of the transfer belt.