115 results about "Colour coding" patented technology

The invention discloses a distributed intelligent warehouse scheduling system based on artificial intelligence, and belongs to the technical field of warehouse scheduling. Comprising a multi-source environment sensing module, a dynamic inventory management module, a distributed task scheduling module, an intelligent path planning module, a resource dynamic allocation module, an anomaly detection and emergency response module, an energy consumption optimization module, a supply chain collaboration module and a man-machine interaction and visualization module. A warehouse digital twinborn model is constructed, immersive display of a storage state and a scheduling strategy is realized, an AR scene is superposed through a color coding path, a thermodynamic diagram and a particle flow form, a manager can intuitively master inventory distribution, task progress and an abnormal region, eye movement tracking and a gesture recognition technology support an interactive decision, and the workload of the manager is reduced. The AR marking function can mark an abnormal area and synchronize the abnormal area to a decision making system, and through combination of AR and AI, a brand new interaction normal form is provided for intelligence and humanization of warehouse management.

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).

Battery life cycle management is facilited 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.

The invention relates to the field of image data processing, in particular to a real-time three-dimensional visualization system of a wind power plant. The elastic data fusion module is used for aggregating fan SCADA, weather station and weather forecast data in real time, inputting the data into a data fusion cascade architecture, supplementing dynamic parameters and generating data streams. The three-dimensional visualization module is used for obtaining a basic geographic scene through a three-dimensional modeling tool in combination with the oblique photography image; constructing three-dimensional digital assets by adopting a three-dimensional modeling engine, and obtaining a static digital scene; updating by using the data stream to obtain a dynamic three-dimensional scene; and a visual prompt is sent through a mechanism of changing the visual attributes of the three-dimensional digital assets. And the rendering maintenance module is used for outputting a rendering maintenance updating prompt by analyzing the data stream, and carrying out coloring rendering updating by dynamic color coding. Through the data fusion cascade architecture and the three-dimensional modeling engine, the problem that a visual scene is disjointed from reality due to data interruption is solved, and the operation reliability of the system is remarkably improved.

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.

To provide a protector which can be easily adjusted by a wearer by hand and which can be provided as a mass-produced product while responding to individual differences. [Solution] The protector comprises a plate-shaped protector body (10) made of a thermoplastic material that softens when heated, and an instruction display (1a) that is displayed on the surface of the protector body and indicates the area to be heated or the amount of heat by color. The protector body has a front and back made of materials that deform by different amounts when heated, and the instruction display can be displayed according to the different amounts of deformation on the front and back of the protector body, and the instruction display visibly indicates the area to be heated on the protector body by color coding or pattern.

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.

The application discloses a kind of multi-modal feature fusion digital person video generation method and device based on timing position coding, comprising: constructing key point based on monocular video;Using the face Faceverse coefficient detected by Faceverse model, the face Flame coefficient of SMPLX model is fitted and replaced, the Mano hand shape detected using Hamer model, the hand representation of SMPLX model is fitted and replaced, to obtain the optimized SMPLX model;Color coding representation image and eye gaze image are obtained based on key point drawing, while based on the depth image, semantic image and normal image obtained by drawing the optimized SMPLX model;In image generation model, timing position coding for enhancing timing consistency is introduced, while based on the multi-modal feature formed by all images, a plurality of digital person images are continuously generated, and audio is added to obtain digital person video, which has wide application prospect in many fields.

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.

This application relates to a progress monitoring method and BIM information management system based on digital twins, which provides a method for automating the progress monitoring process and can provide more accurate and objective construction activity progress information. By using three-dimensional information elevation views and semantic segmentation technology based on deep learning, the completion percentage of construction activities can be detected and reported. This application can help construction managers track the progress of main structures such as beams, columns, and floor slabs, and detect potential delays or problems as early as possible during the construction process. Through BIM color coding and point cloud segmentation technology, the progress of each activity can be visualized, helping project managers make more informed decisions and optimize resource allocation.

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.

As shown in Reference Image Figure 2, search conditions for search items (7) are set in the search condition setting window (1), search for past processes performed on wafers, etc., select desired processes from the search result list (2), and display data for the selected processes on a graph (3) or map (4). Graph (3), for example, displays the temperature change of the wafer over processing time, and may also display data for a specific time. Map (4), for example, displays a color-coded temperature map on the wafer together with a color sample (5).

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.

The application discloses a cross-arranged longitude and latitude color light source and a surface topography detection method. The method uses a cross-arranged longitude and latitude color light source and surface topography detection. The light source is a semispherical dome. LED particle light sources are arranged in the longitude direction and the latitude direction inside the semisphere. In the latitude direction, blue-green-red or blue-cyan-green-yellow-red color light sources are arranged from the equator to the north pole. In the longitude direction, blue-green-red or blue-cyan-green-yellow-red color light sources are arranged at equal angles. The LED particle light sources are replaced by expanded color laser light sources or projection light sources controlled by a computer. The color can be switched according to needs. A controller is used to open the longitude light source and the latitude light source at different times, and images are collected respectively. The color light source information collected by the camera in the longitude and latitude directions is color coding information of the color light source. The application avoids the complexity and low adaptability of a model in a traditional modeling method and overcomes the field of view problem of a single small ball calibration in the traditional method.

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 invention discloses an intelligent automatic bead stringing system and method based on APP pixelated customization. The APP in the system realizes image pixelated parameter customization, color coding and instruction generation, and order management; according to the bead stringing machine, an upper feeding mechanism array type single-color independent bead storage unit such as a double-opening bottle (a single-opening bottle, a matrix box and the like) is innovated, and a middle executing mechanism and a lower bead stringing mechanism are optimized to complete operation. The method comprises user APP parameter setting, instruction generation, order placing and payment, command transmission by a production background and bead stringing process execution by a machine. According to the invention, intelligent personalized beaded bead customization is realized, the production efficiency and reliability are improved by means of mechanical structure innovation and full-process automation, and space and color adaptation is optimized.

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 disclosure comprises systems and methods for identifying color-coded tags on tools in a storage container where the identification sensor can be calibrated and adjusted. The method can include capturing image data comprising a plurality of pixels of an identification tag associated with a tool in a storage container. The method can include correlating a plurality of pixels to a numeric hue value. The method can include identifying a pattern of pixels from the plurality of pixels, wherein the pattern of pixels is correlated to a known pattern of color parameters consistent with the identification tag associated with the tool in the storage container. Further in response to identifying the pattern of pixels is consistent with the identification tag, determining the presence or absence of the tool in the storage container. The method can further include implementing a color gain to adjust a boundary range for a color.

The invention discloses an automatic measurement-while-drilling device for multi-scale in-situ information of a deep stratum and further discloses an automatic measurement-while-drilling method for the multi-scale in-situ information of the deep stratum. A high-frequency sound wave assembly, an intermediate-frequency sound wave assembly and a low-frequency sound wave assembly are arranged at the same time, and through cooperative work of the high-frequency sound wave assembly, the intermediate-frequency sound wave assembly and the low-frequency sound wave assembly, the measurement accuracy is improved; by combining the cooperation of a ground sensor module and a drill rod measuring short section, the multi-scale in-situ information acquisition of a small-scale rock core internal structure of a deep stratum, the characteristics of a stratum around a medium-scale drill hole and a large-scale regional geologic structure is realized; according to the method, an RGB color coding mode is adopted, multiple parameters such as a structure field, a stress field and an intensity field are mapped into visual color information, visual expression of complex geological parameters is achieved, and key information such as the integrity and the stress state of a feature stratum can be conveniently and rapidly recognized.