67 results about "Colour coding" patented technology

The invention provides a hierarchical labeling method and device for a lung cancer pathological image, equipment and a storage medium. Relates to the technical field of medical image processing. The method comprises the following steps: carrying out digital scanning and image preprocessing on a lung cancer pathological section; labeling according to a three-stage progressive sequence of a macroscopic tissue area, a microscopic characteristic structure and a cellular level characteristic, wherein each stage adopts color coding and diagnosis priority rules exclusively corresponding to lung cancer subtypes and pathological characteristics; carrying out post-processing and standardized output on the labeling result; and training an AI model by using the standardized annotation data and applying the AI model to auxiliary diagnosis. Through a unified color coding system, a hierarchical labeling framework and a standardized data processing flow, the problems that an existing labeling system is disordered and poor in reusability are solved.

Systems, methods, and instrumentalities are disclosed for cross-component depth-luma coding. Depth information may be used as information for joint or cross-component coding of texture information (e.g., luma, chroma, or R, G, B colour component information). The depth information may be used to jointly code the corresponding texture information. In examples, a device may determine whether a coding mode, such as a joint depth-color coding mode (JDCC) (e.g., joint depth-luma coding mode (JDLC)) is used for a current block. If JDCC coding mode is used for the block, then the device may decode depth sample(s) in the block and predict the corresponding color sample(s) (e.g., luma sample(s) and / or chroma sample(s)) in the block based on the decoded depth sample(s).

The present invention relates to a novel training device designed to enhance the skill and performance of golfers by optimizing their swing mechanics. The device is adaptable to various training environments, enabling both indoor and outdoor use, and is compatible with a range of golf clubs. This invention represents a significant advancement in golf training methodologies. This invention can also provide one or more color coding systems to enable corrective feedback to the user.

A satellite (140) for operation in an orbit around the Earth includes an ADCS (131, Fig. 1) configured to mechanically steer the satellite in an azimuth direction to extend a dwell time (1105) during which a target is visible from the satellite when the satellite is orbiting above the target of choice. A processor at a ground station can be configured to process raw SAR data from any of the satellites described herein. The raw SAR data can be processed in a variety of ways to provide image information, including but not limited to forming multi-view images, compiling video sequences, and color coding images.

The invention discloses a cross-belt sorting system and method based on visual monitoring, and relates to the technical field of logistics sorting, and the method comprises the steps that a data acquisition and processing module obtains the operation data of cross-belt sorting equipment in a target area in real time, and dynamically evaluates the operation state of the equipment; the visual monitoring module obtains the actual spatial layout of the equipment, constructs a visual planar graph, maps the visual planar graph to the planar graph through color coding in combination with the operation state of the equipment, and constructs an equipment operation state dynamic updating graph; the key operation index module obtains key operation indexes of the equipment by using a sliding time window technology; the early warning and decision support module sets a dynamic threshold value, automatically triggers a grading early warning system, couples atlas to highlight and display abnormal equipment, and generates an equipment preliminary optimization suggestion; the operation cockpit module integrates multi-dimensional data of a graph, key operation indexes, early warning information and personnel performance, an integrated operation cockpit view is constructed, and a cross-belt sorting scheme of visual monitoring is completed. According to the invention, the monitoring manpower is saved.

The invention discloses a three-dimensional power grid training simulation method based on a virtual reality technology, and relates to the technical field of power grid training simulation, and the method comprises the following steps: initializing a virtual reality environment, loading a mountainous area power grid three-dimensional model, and generating a power transmission line node; setting training environment parameters; calculating an effective wind speed at each line node according to the terrain gradient; calculating the line galloping amplitude in real time; dynamically rendering a line galloping effect in a VR environment, and visually displaying a dangerous section through color coding; students can deploy anti-galloping devices interactively, and the system updates the damping effect in real time and recalculates the galloping amplitude. The system continuously monitors the safety state, provides a real-time alarm and generates a training evaluation report. According to the invention, a terrain-adaptive galloping amplitude real-time calculation algorithm is introduced, and a virtual reality training system deeply fused with a real geographical environment is constructed, so that simulation and visualization of the galloping behavior of the high-voltage transmission line in a mountainous complex terrain can be realized.

This product is connected to a valve installed in a fluid passage, such as a liquid or gas, via a mechanism that transmits rotational force. The rotational force of the motor moves the valve, opening and closing the passage and adjusting the fluid flow rate per unit time. Approximately in the center of the front side, there is an opening degree indicator that shows the degree of opening of the passage. The opening degree is represented as 0% when the passage is completely closed and 100% when the passage is completely open. This opening degree indicator is the part for which design registration is sought as a partial design. The front view and perspective view show the state when the opening degree is 50%. The opening degree indicator is color-coded so that the opening degree can be seen at a glance. To explain this using an enlarged front view showing only the partial design portion when the opening degree is 50%, the fan-shaped area in the range from 0% to 50% is colored green, and the fan-shaped area in the range from 50% to 100% is colored red. As the opening degree increases, the green area becomes larger, and when the opening degree reaches 100%, the red area disappears, and only the green area remains.

The invention discloses a cable pipeline visual alarm method and system. The method comprises the following steps: constructing a three-dimensional space database of the cable pipeline, wherein the three-dimensional space database comprises space coordinates, laying depth and operation parameters; establishing a health degree evaluation model based on risk evaluation, and comprehensively considering the operating age limit, the load rate and the environmental condition; pipeline space distribution is displayed on a three-dimensional visualization platform in real time, and health degree grades are distinguished through color coding; setting multiple levels of alarm thresholds, including early warning, alarm and emergency thresholds; and triggering corresponding alarms according to the health degree scores, respectively displaying yellow, orange and red identifiers, and executing early warning notification, work order pushing or emergency processing. The system comprises a data acquisition module, a risk assessment module, a visual display module and an alarm processing module. According to the invention, accurate monitoring and intelligent alarm of the cable pipeline are realized, and the fault positioning accuracy and the emergency disposal efficiency are obviously improved.

A method, a system and a computer program product for lead management and SPOC control are disclosed. The method includes integrating CRM systems and vendor systems to access lead and vendor data into a lead management system. The method also includes assigning a first lead to a first agent via a lead management module. The method further includes assigning a DID number and a masked email address to the first lead, and routing all communication through lead management system to ensure secure, centralized, and compliant interactions. The method includes dynamically tracking first agent's compliance with lead retention conditions. The method also includes automatically reassigning first lead to a second agent if the first agent is non-compliant with the plurality of lead retention conditions. The method further includes providing a color-coded UI that visually displays lead status and agent compliance for monitoring both lead engagement levels and agent performance.

This application discloses a vision-color coding-based intelligent safety belt system and protection monitoring method, belonging to the field of intelligent security monitoring technology. The system includes: color-coded webbing for machine vision recognition; a dual-confirmation self-locking buckle for outputting a digital signal of the buckle's closed state; an LED electrically connected to the dual-confirmation self-locking buckle for displaying the corresponding color and strobe mode according to the buckle's closed state; a BLE module electrically connected to the dual-confirmation self-locking buckle for broadcasting the buckle's closed state digital signal, power level, and environmental data; an edge acquisition terminal for acquiring images containing the color-coded webbing, performing visual reasoning on the images, and generating compliance judgment results and control commands based on the buckle's closed state digital signal; and a relay lock interface electrically connected to the edge computing box for receiving the control commands and inserting them into the construction equipment control circuit to achieve hardware-level emergency shutdown; achieving instant system monitoring and control.

A lamp control signal conversion and transmission method includes: R coded data, G coded data and B coded data generated in three successive sampling periods T0 being transmitted in each transmission period T1 respectively in a first preset sequence, a second preset sequence and a third preset sequence, and colors correspondingly controlled by coded data that is first transmitted in the first preset sequence, the second preset sequence and the third preset sequence are different, such that even if only the first color coded data can be transmitted due to the incompleteness of output color data caused by insufficient power supply when the duty cycle of lamp control signals is low in the process of converting four-wire transmission of the lamp control signals into two-wire transmission, the R, G and B coded data can still be obtained three sampling periods T0 later, which improves completeness of colors of a lamp.

The application relates to the technical field of image recognition, in particular to a wire board wiring method and system based on image recognition, equipment and a medium. The application obtains standard format drawing data by pre-processing a cable layout drawing, extracts key features of the wire by using computer vision technology combined with color ID coding rules, and matches an adaptive wire board template from a standard template library; based on the feature data and the template parameters, the system calculates a non-crossing wire layout scheme and an optimal card placement rod distribution scheme; in actual operation, a display dynamically displays a process guide pattern, a camera is used to monitor the operation process in real time, and an alarm is given and a rollback operation is performed in a timely manner when an abnormality is found. The application solves the problems of low efficiency and unstable quality of traditional manual operation, realizes automatic planning of the wiring path, ensures controllability of the operation process, and improves the automation level and product quality of the wire board manufacturing.

The invention discloses a biofeedback equipment database detection operation method based on augmented reality, and relates to the technical field of biofeedback, real-time adjustment is carried out through gait anomaly detection and AR visual feedback, a patient can see gait data in the training process, gait errors can be visually perceived through color-coded anomaly marks, and the training accuracy is improved. Wrong gait solidification is avoided; in addition, personalized gait analysis is carried out by combining Transform and GNN with transfer learning, compared with traditional anomaly judgment of a fixed threshold, the detection standard can be dynamically adjusted, self-adaptive optimization is carried out in combination with individual features of a patient, misjudgment is reduced, gait guidance is provided by using augmented reality (AR) equipment, and the detection accuracy is improved. Comprising the steps of virtual gait reference marking, gait alignment identification, dynamic footprint projection and target point setting, so that a patient obtains gait adjustment guidance visually, and in combination with vibration feedback and voice prompt of the intelligent insole, an instant adjustment signal is provided when an abnormal gait occurs.

In an illustrative embodiment, systems and methods for extracting, and organizing, and visualizing details of options provided by multiple organizations responsive to a risk fulfillment request include analyzing unstructured electronic documents to recognize various quote aspects in their contents, label the quote aspects according to a classification, and store semantically linked quote aspects. The systems and methods, for example, may enhance semantically-linked groups of quote aspects with attributes according to a corresponding ontology, and confirm the labeling, grouping, and enhancing through feedback interactions performed with a user via a graphical display. The confirmed information may be used to generate a visualization of options for fulfilling the request, each option qualified and / or color-coded through automated learned analysis for review by the user.

According to the multi-mode emotion regulation subtitle generation method fused with cognitive intervention, classroom teaching audio is collected through an omnidirectional condenser microphone, multi-dimensional acoustic features are extracted after preprocessing such as mute segment removal, noise suppression and signal normalization, the audio is converted into a text through a DNN-ASR model and a pre-training BERT model, and a semantic embedding vector is generated. An improved CNN-LSTM model is adopted to fuse acoustic and semantic features for emotion recognition, and a primary cognitive tag is generated in combination with a classroom situation knowledge base. Based on an emotion cognition theory, secondary modeling is carried out on emotion signals through an explanatory subtitle generation sub-model and a background annotation adjustment sub-model, an emotion adjustment factor matrix is formed, and weights are dynamically controlled. And finally, according to the adjustment factor, generating a multi-mode subtitle, matching a color code, a dynamic icon and a font style, and presenting the information on a teaching terminal. According to the invention, classroom teaching information processing efficiency can be effectively improved, and deaf students and other groups can be assisted to better understand teaching contents.

This image is used to generate and train an AI model for "wire tracking," which extracts the actual shape (trajectory) of wires within a cable from multiple cross-sectional images of the cable, which is made up of an assembly of numerous wires. As shown in the reference diagram showing the usage status and the reference diagram showing the names of each part, this image has an image list area, a toolbox area, an image display settings area, a progress display area, and a start learning button. The image list area displays the names of, for example, 10 images selected from multiple CT images (computed tomography images) of the cable, which is made up of an assembly of numerous wires. Selecting a specific image from the multiple images displayed in the image list area displays the selected CT image. The toolbox area contains various operation buttons for color-coding and labeling wires, coatings, and jigs in the displayed CT image. The image display settings area contains various operation buttons for zooming in and out of the displayed CT image, moving it, and displaying or hiding specific color labels. The progress display area displays the progress of color-coding labeling of the multiple CT images displayed in the image list area. The Start Learning button is an operation button for starting the generation and learning of an AI model using color-labeled CT images.

This image is used to generate and train an AI model for "wire tracking," which extracts the actual shape (trajectory) of wires within a cable from multiple cross-sectional images of the cable, which is made up of an assembly of numerous wires. As shown in the reference diagram showing the usage status and the reference diagram showing the names of each part, this image has an image list area, a toolbox area, an image display settings area, a progress display area, and a start learning button. The image list area displays the names of, for example, 10 images selected from multiple CT images (computed tomography images) of the cable, which is made up of an assembly of numerous wires. Selecting a specific image from the multiple images displayed in the image list area displays the selected CT image. The toolbox area contains various operation buttons for color-coding and labeling wires, coatings, and jigs in the displayed CT image. The image display settings area contains various operation buttons for zooming in and out of the displayed CT image, moving it, and displaying or hiding specific color labels. The progress display area displays the progress of color-coding labeling of the multiple CT images displayed in the image list area. The Start Learning button is an operation button for starting the generation and learning of an AI model using color-labeled CT images.

A real-time monitoring system for skid-mounted reciprocating natural gas compressors. The system not only monitors performance and makes analytical diagnostic predictions of potentially problematic valves and such, but also has alert system for real-time monitoring, troubleshooting and diagnosing of such natural gas compressors—both locally and remotely. Operators can more efficiently and effectively manage maintenance and operation of the skid-mounted compressors with the implementation of LED equipped sensors that allow operators to locally quickly identify valves and other components requiring maintenance. Additionally, operators can remotely identify and understand deviations from optimal performance with the implementation of color-coded soft gauges.

The specification provides a log processing method and device, electronic equipment and medium. The method comprises: receiving an ANSI format log; determining an ANSI escape code in the log; for each ANSI escape code, if the ANSI escape code contains color coding, determining a style class name corresponding to the color coding; and rendering a log page according to the log content in the ANSI escape code and the style class name.

The graphical user interface displays the colors of a patient's tooth model, allowing the user to color-code specific teeth. The user can scroll or click the GUI to view and color-code. Figures 5.3–5.4 are for reference purposes only and do not constitute part of the design for which registration is sought. “X” in the figures represents various numbers and / or letters and / or symbols. The appearance of the images transitions continuously between the images shown in Figures 5.1–5.2. The transition process or duration from one image to another does not constitute part of the design for which registration is sought. 5.1) Front view; 5.2) Front view; 5.3) Reference drawing; 5.4) Reference drawing

A real-time monitoring system for skid-mounted reciprocating natural gas compressors. The system not only monitors performance and makes analytical diagnostic predictions of potentially problematic valves and such, but also has alert system for real-time monitoring, troubleshooting and diagnosing of such natural gas compressors—both locally and remotely. Operators can more efficiently and effectively manage maintenance and operation of the skid-mounted compressors with the implementation of LED equipped sensors that allow operators to locally quickly identify valves and other components requiring maintenance. Additionally, operators can remotely identify and understand deviations from optimal performance with the implementation of color-coded soft gauges.

The application provides a color correction method of CMYK printed products, relates to the field of digital image processing, and comprises the following steps: based on printing characteristics of a printing device, a linear model of color information collected by the printing device and initial color coding is constructed, and parameters of the printing device are determined in combination with correction of environmental conditions; image information to be printed is acquired, the image information to be printed is corrected based on the parameters of the printing device and in combination with a preset correction mode; and the corrected image information to be printed is input into the printing device, and a printed product after standard correction is obtained through printing. Through two-stage decoupling of calibration of the environment first and then calibration of the device, the application breaks through the limitation that single-stage calibration in the prior art cannot distinguish between device and environmental error, realizes precise decoupling of inherent deviation of the device and environmental interference error, and lays a foundation for cross-scene color correction.

of the invention SYSTEM AND METHOD FOR PERFORMING UNCERTAINTY ANALYSIS A computer system (200) and method of performing uncertainty analysis for a product design. The method comprises receiving, by a processor (204), one or more design variables associated with an objective function from an input device (212). Further, an unconstrained design space corresponding to the design variables is sampled to generate a set of primary samples. Based on the primary samples, an interpretable Self-Organizing Map (iSOM) is initialized. For each of the primary samples, a plurality of secondary samples is generated. The initialized iSOM is trained based on each of the secondary samples and the objective function value corresponding to the secondary sample. A final iSOM is trained based on variations in weight vectors associated with the trained duplicated iSOMs. Further, a color-coded visualization of uncertainties in each of the design variables and the objective function based on the final iSOM are generated on a graphical user interface (216).

This application discloses a method and apparatus for generating materials for CAD models, relating to the field of image data processing technology. The method includes: parsing an uploaded CAD model file to extract several parts contained in the CAD model file; assigning a corresponding part identifier to each part, mapping the part identifier to a color identifier, and obtaining a color-coded image corresponding to the CAD model by combining the color identifiers corresponding to each part; calling a preset rendering engine to render the color-coded image into a corresponding rendering preview image; locating and segmenting the part regions corresponding to each part in the rendering preview image, and constructing a corresponding appearance feature vector for each segmented part region based on the appearance characteristics of the part region; matching the appearance feature vector with the material appearance features in a preset material library to determine the material parameters corresponding to each part, and obtaining the material of the CAD model based on the material parameters corresponding to each part.

Battery life cycle management is facilitated with distinct visual cues of colors and color-coded combinations. The color-codes enable battery types and characteristics over the course of the life of the battery to be determined. The color-codes are based on a color system that indicates a performance rating of the batteries. A system for managing the color-coded batteries selects color-coded batteries for use based upon color, maintaining color based functionality, and color-coded battery indication for destruction of the battery at the end of its life cycle.

In a central monitoring solution, one or more predetermined criteria are established which includes data from several clinical parameters to provide visual indications of patient alarm priority and identify patients that may need more attention than others. If preset criteria for appropriate zones are met, the patient will be indicated either in “red zone” demanding immediate attention; or in a “yellow zone” indicating moderate level of attention; or in a “blue zone”. Indicating no criteria are met. This color-coding scheme will help care givers / teletechs an opportunity to sort patients based on their clinical condition.

The invention discloses a method based on CVAamp; the invention discloses a UTC double-region division and six-color coding data quality evaluation framework and a management method. A data quality problem is divided into a CVA warm color system single record problem and a UTC cold color system cross-system problem, six fixed color codes of white, orange, red, blue, grey and green are combined, and one-to-one mapping with six dimensions of integrity, effectiveness, accuracy, uniqueness, timeliness and consistency is performed, so that a globally initiated visual, standardized and easy-to-land data quality treatment system is formed. The method can be widely applied to enterprise data governance, CDMP and other examination teaching, data compliance and AI data governance and supervision scenes, and has extremely high novelty, creativity and practicability.

The graphical user interface displays the colors of a patient's tooth model, and the user can color-code specific teeth. The user can scroll or click the GUI to view and color-code. Figure 2.2 is for reference purposes only and does not constitute part of the design for which registration is sought. The "X" in the figure represents various numbers and / or letters and / or symbols. 2.1) Front view; 2.2) Reference drawing

As shown in the reference image Figure 2, the search criteria setting window (1) is expanded to set the search criteria for the search items, a past process performed on the wafer is searched, the desired process is selected from the search results list (2), and the data of the selected process is displayed in a graph (3) or map (4). The graph (3) may, for example, display the temperature change of the wafer with respect to the processing time, and may also display data (8) for a specific time. The map (4) may, for example, display a color-coded temperature map on the wafer along with a color sample (5).