801 results about "Interactive displays" patented technology

The invention relates to the field of low-altitude airspace monitoring, and relates to a low-altitude monitoring system based on multi-source heterogeneous perception fusion and rule engine driving, which comprises a perception access layer used for completing data standardization and protocol adaptation and realizing data stream release through message middleware; the processing calculation layer is used for generating a structured alarm event; the application support layer is used for three-dimensional visual interactive display of target situation data and alarm events, unified access of multiple types of sensors such as radar, photoelectricity, radio frequency, ADS-B and meteorological sensors is realized through a plug-in protocol adapter, and target state estimation and track smoothing are realized by combining space-time registration and extended Kalman filtering. The limitation that an existing system can only process a single data source or simple superposition is overcome, and the target recognition precision and the track continuity are remarkably improved.

The invention discloses a smart city monitoring system and method, and relates to the field of city monitoring, and the system comprises a digital twin model, an intelligent cooperation module, a decision optimization module, an execution module, a feedback and adjustment module, an interactive display module, and a public participation platform. Meanwhile, the city modeling and the city entity are subjected to state synchronization work through the Internet of Things; the intelligent cooperation module is used for subdividing city monitoring into a plurality of sub-tasks, and each sub-task is responsible for a specific intelligent agent; and the decision optimization module performs decision optimization on the intelligent cooperation module through a reinforcement learning algorithm. According to the smart city monitoring system and method, omnibearing and three-dimensional city information collection is achieved, the coverage range is wide, data sources are rich and complementary, the city operation state can be obtained in real time, and sufficient data support can be provided for subsequent analysis and decision making.

The described technology is generally directed towards automated and dynamic creation of a consolidated summary of medical information pertaining to a patient. Rather than a caregiver having to trawl through numerous reports and medical information, utilizing consolidated reports enables efficient review of medical information to enable expedited determination and treatment of the patient. In an example sequence of operation, a collection of patient / medical reports can be individually summarized to form a collection of summarized versions of the original reports. The summarized reports can be further collectively summarized to generate a consolidated summary. Hence, the consolidated summary is a summary of the initial collection of patient / medical records. A consolidated summary can comprise patient information, medical history, medical images, pertinent medical research, etc. A consolidated summary can be presented on an interactive display, with the respective initial patient / medical reports accessible via selectable hyperlinks presented in the consolidated summary.

The present invention provides a data interactive display method and system for a digital exhibition hall, and relates to the technical field of display content recommendation. The method includes: collecting historical display interactive behavior data of multiple display devices in the exhibition hall, extracting user browsing behavior preference characteristics to determine multiple browsing behavior preference patterns; extracting browsing time period preference characteristics and determining time period distribution patterns, generating a first interactive display strategy; collecting historical display environment data of multiple display devices and performing content environment association analysis, constructing a content environment analysis model and generating a second interactive display strategy; fusing and generating a target interactive display strategy and performing interactive display optimization; obtaining real-time display interactive behavior data of display devices and performing user behavior collaborative impact analysis, generating multiple interactive collaborative optimization strategies to perform interactive display collaborative optimization. The present invention realizes dynamic and personalized display content optimization.

The invention relates to the technical field of machining, and discloses a lathe tool wear self-inspection alarm system which comprises a multi-source sensing module, an intelligent analysis module, a dynamic response module, an interactive display module and a self-adaptive energy supply module. The multi-source sensing module synchronously acquires the surface abrasion loss, the vibration spectrum and the acoustic emission signal of the cutter through an optical sensor, a capacitive sensor and an MEMS triaxial accelerometer, and outputs the surface abrasion loss, the vibration spectrum and the acoustic emission signal to the intelligent analysis module; and the intelligent analysis module performs fusion analysis on the multi-source data by adopting a mixed feature extraction and double-model decision mechanism. High-precision monitoring and dynamic evaluation of lathe tool wear are realized through optical, vibration and acoustic emission sensors of the multi-source sensing module in combination with mixed feature extraction and a double-model decision mechanism of the intelligent analysis module. By means of the mode of combining multi-dimensional monitoring and intelligent analysis, machining defects and equipment failure risks caused by tool abrasion can be reduced.

The invention relates to the technical field of data processing, in particular to an integrated multi-mode culture resource intelligent data governance and management system. The system comprises a data acquisition module, an intelligent processing module, a data management module, a knowledge organization module and an interactive display module. Synchronous acquisition of videos, audios, images and three-dimensional point clouds is realized through camera equipment, audio acquisition equipment and a laser scanner, and cultural elements are extracted through action recognition, speech recognition model processing dialect transcription, image semantic segmentation and named entity recognition by adopting a convolutional neural network. The system realizes structured description and semantic mapping of data on the basis of non-abandoned domain ontology, and constructs a knowledge graph by means of a graph database and a graph neural network. And finally, realizing three-dimensional visual display of the cultural resources by combining a virtual reality technology. According to the method, the problems of non-abandoned multi-modal data processing splitting, insufficient semantic organization and weak display interactivity in the prior art are solved, and the digital governance level and the propagation capability of cultural resources are improved.

The invention discloses a real-time dynamic rendering method and system for holographic interaction display, and relates to the technical field of holographic interaction display and real-time light field rendering, and the method comprises the steps: collecting a multi-modal interaction signal in real time, and dynamically generating an attention thermodynamic diagram through a space-time alignment algorithm; compressible motion primitives in the scene are extracted based on Lie group SE (3) motion manifold analysis; constructing a sparse sampling light field calculation model according to the attention thermodynamic diagram and the motion primitives, and dynamically adjusting the compression ratio; and performing non-rigid deformation correction on a phase error caused by interaction by adopting a dual-channel feedback compensation mechanism. Holographic display is driven based on a multi-mode interaction signal, the motion trajectory prediction precision is improved through Lie group SE (3) motion manifold analysis, and motion errors are reduced; in combination with an attention thermodynamic diagram and a light field compression strategy, optimal allocation of computing resources is realized, and rendering time delay is reduced; the phase error and non-rigid deformation are suppressed through a dual-channel feedback compensation mechanism, the holographic image quality is improved, and the interaction experience is enhanced.

The invention relates to the technical field of engineering cost based on AI, in particular to an engineering cost database platform based on AI intelligent identification and a use method, and by arranging the engineering cost database platform based on AI intelligent identification comprising a measurement and calculation and AI module and an interactive display module, precipitation and index analysis can be carried out on measurement and calculation data, and the calculation and calculation efficiency is improved. And through data matching, the data in the list can be automatically compared, and the tedious work of manual comparison is avoided. By setting a database, an index library and a material price library, project cost data, including a standard list, project amount data and market price data, of already-completed construction projects of an enterprise can be collected and sorted, and then various indexes influencing the construction project cost are abstracted from the project cost data; and the method is used in the cost consultation service to realize rapid measurement and calculation of the cost of the project to be constructed, and assists the whole process cost management and control of the construction project at the same time; and finally, continuous improvement of the cost consultation service value is realized.

The invention discloses a large language model auxiliary optimization strategic decision-making system and a large language model auxiliary optimization strategic decision-making method. The system comprises six core modules. The dynamic knowledge fusion module constructs a three-layer distributed knowledge network, constructs an entity association weight matrix through a bidirectional Transform model based on an attention mechanism, and realizes knowledge dynamic association in combination with a time attenuation factor and a hybrid coding technology. The large language model module performs field fine tuning by adopting incremental pre-training and low-rank adaptation technologies, and introduces an exclusive word segmentation list to improve professional analysis precision. The full-process intelligent writing module covers submodules for report generation, revision and the like, and supports full-life-cycle management of reports. The strategic decision intelligent deduction module integrates scene impact factors, and realizes multi-scene deduction through reinforcement learning and Monte Carlo tree search. The interaction display module provides a visual interface, and the multi-mode interaction module realizes full task chain management. According to the invention, real-time knowledge support and intelligent deduction capability are provided for strategic decision making, and decision making efficiency and accuracy are improved.

An interactive display system for a dog includes a display module, a sensor and a controller. The display module displays an image. The sensor is senses the dog's condition. The controller determines at least one of the dog's approach, whether the dog views a video and the dog's emotion based on sensed data of the sensor and controls an operation of the interactive display system.

The invention provides a textile culture knowledge visual presentation method and system combined with virtual reality, and the method comprises the steps: firstly obtaining a target textile culture data set containing the textile technology, history and material attribute information, and constructing a three-dimensional textile model set containing a plurality of textile culture element three-dimensional models based on the target textile culture data set; dynamically matching the three-dimensional model with a corresponding textile culture data unit according to a preset rule to generate a virtual reality textile culture scene, then responding to an interaction operation instruction of a user in the scene, extracting interaction behaviors and semantic features, and finally adjusting three-dimensional model display parameters according to the interaction behaviors and the semantic features. And the updated virtual reality textile culture scene is rendered and output in real time, so that vivid and interactive display of textile culture knowledge is realized.

The invention discloses an augmented reality and digital product fusion display system, which can identify preset identifiers such as a two-dimensional code, a graphic code and a radio frequency identification tag through an identifier identification module, is integrated on an intelligent terminal or augmented reality equipment, is convenient for a user to operate at any time, improves the use convenience, and improves the user experience. The three-dimensional model database stores appearance structures, internal components and interactive function data, provides comprehensive product information for users and meets diversified requirements, the scene fusion calculation module realizes accurate positioning and reasonable proportion zooming of a three-dimensional model in a real scene by means of a virtual reality fusion degree calculation formula, dislocation and disproportionality are avoided, and the user experience is improved. The interactive display module supports multi-mode interaction modes such as gestures, voice instructions and equipment sensors, rich and natural interactive experience is provided, the real-time interaction function enables a user to see the influence of operation on the model in real time, interactivity and feedback are enhanced, and the digital product display effect and the user experience are integrally improved.

The invention discloses a complex system data visualization modeling method based on GIS and topological graph fusion, and relates to the technical field of data visualization modeling, and the method comprises data fusion modeling, space-time anomaly reasoning, state propagation modeling and multi-dimensional visualization enhancement. The method comprises the following steps: performing unified access, cleaning and standardization processing on operation data, topological relation data, geographic space data, function configuration data and environment data of a complex system, and constructing a unified data model fusing geographic attributes and topological attributes; realizing abnormal root cause reasoning and spatial constraint propagation modeling of a system state by using a convolutional time sequence modeling method combined with a graph neural network; a dynamic evolution rule of a node state is described through a time gating mechanism, and interactive display is realized; according to the method, global visualization of the operation state of a complex system, dynamic backtracking of an abnormal propagation path and hierarchical analysis of key nodes can be realized, and the intelligent monitoring, situation awareness and decision support capabilities of the system are improved.

The invention discloses a portable swallowing function screening system based on multiple modes. The portable swallowing function screening system comprises a signal acquisition device, a data processing device and an interactive display device which are connected in sequence, the signal acquisition device is used for acquiring a laryngeal pressure signal, a laryngeal acoustic vibration signal and a swallowing acoustic wave signal of a patient; the data processing device is used for performing feature extraction and feature fusion according to the throat pressure signal, the throat sound vibration signal and the swallowing sound wave signal to obtain a multi-modal fusion feature, and calculating a swallowing disorder risk probability through a preset deep learning model according to the multi-modal fusion feature; the interactive display device is used for judging the swallowing function according to the swallowing disorder risk probability and displaying the screening result of the swallowing function according to the judgment result.

The invention provides a data asset display analysis method and system based on data visualization, and belongs to the technical field of data asset display analysis. Then, carrying out visualization dimension mapping processing to obtain a visualization dimension set comprising a structure dimension, an association dimension and a circulation dimension, and constructing a multi-level display template comprising a basic display layer, an association display layer and a dynamic display layer according to the visualization dimension set; according to the method, the multi-level display template is subjected to interaction adaptation processing according to user analysis requirements to generate a visual interaction interface, operation track data of a user in the visual interaction interface is tracked, the multi-level display template is adjusted based on the operation track data, the visual interaction interface is updated, and comprehensive, visual and interactive display analysis of data assets is achieved.

A system and method for generating personalized product recommendations for a user, along with the personalized reasons for the recommendation, which can then be used as part of a product purchasing system to deliver that product to the user. A system for image analysis may perform: obtaining an image of a face or head of a person, generating face features from the image, retrieving a plurality of features of a plurality of objects from a database, generating a plurality of combined face and object features from the face features and object features of the plurality of objects, generating a ranking of the combined face and object features, selecting at least one object based on the ranking of the combined face and object features, generating an interactive display of the selected at least one object, and providing user interaction of the interactive display to provide purchase of the selected object.

The invention discloses a fish tank dynamic interaction display device based on position detection and an interaction implementation method. Belongs to the technical field of intelligent aquarium equipment and digital interaction and collects fish body images in real time, a control screen supports touch and voice interaction, and a background display screen dynamically updates display content according to the position of a fish body. The control processing hardware module integrates a microprocessor, a real-time digital graphic processing chip and an artificial intelligence processing unit, and image correction, multi-fish body detection tracking, coordinate mapping and dynamic background rendering are achieved. The method comprises the steps of image acquisition, geometric correction, position detection, coordinate mapping, dynamic rendering, cross-device linkage and the like, and supports gesture interaction, AI background generation and multi-fish tank linkage functions. Through combination of real-time position detection and a dynamic display technology, immersive interactive experience of fish moving and scene following is constructed, the problem that a traditional fish tank is insufficient in interactivity is solved, and the fish tank is suitable for families, commercial display and other scenes.

The invention relates to an online multi-cloud exhibition hall system based on 3D visualization, and relates to the technical field of information processing technologies, full life cycle management of works and materials is realized through a workbench module, and a hotspot configuration module drives flexible definition of a multi-modal interaction component. The guide management module accurately controls scene switching and media playing rhythm based on a time axis global synchronization mechanism, the multi-theme module supports dynamic loading and mixed superposition of multiple sets of theme resources, and finally the rendering engine module integrates the instructions to realize high-precision 3D rendering and cross-terminal adaptation. Three-dimensional interactive display of texts / PDF / audios and videos is achieved through multi-modal information fusion, a dynamic Bessel algorithm is adopted to intelligently adjust a guide path and node duration so as to eliminate visual angle jump, layered rendering and a resource on-demand loading technology are combined, multi-theme seamless switching and same-screen comparison are supported, and the visual angle jump is eliminated. And the performance optimization is realized while the visual effect is ensured.

An aircraft-based strategic and tactical interactive guidance system for ground operations includes position sensors for determining position information of an aircraft engaged in taxi operations (e.g., gate to takeoff, touchdown to gate) at an airport. The guidance system stores airport database information about runways, taxiways, hazards, gates, and other airport features. The guidance system analyzes and parses verbal taxi instructions from the airport control facility, into a navigation path. The guidance system fuses the navigation path with the airport database information and the aircraft's position information to present, via an interactive display surface, a strategic display, e.g., providing an overhead view of the current aircraft position, its assigned gate or destination, and the navigation path incorporating the prescribed runways and / or taxiways via which the aircraft will reach said destination. The pilot may modify the displayed navigation path via the interactive display surface.

The invention relates to the technical field of image generation, and particularly provides a digital human generation and streaming transmission method and system, and the method and system are based on an ER-NERF algorithm, and comprise the following steps: S1, carrying out the depth estimation and optical radiation field reconstruction of multi-view image data, so as to generate a realistic 2.5 D digital human model; s2, in a data transmission stage, the system pushes the preprocessed model parameters and texture information to a user terminal in a streaming media format in real time; and S3, at a user terminal, the system performs real-time analysis and reconstruction on the received data stream through a decoding module, and dynamic rendering and interactive display of the digital human are completed. Compared with the prior art, the method has the advantages that the terminal computing pressure can be reduced, cross-platform real-time interaction and efficient rendering are ensured, and the application requirements of virtual content production, remote interaction and immersive experience are met.

The invention discloses a public service facility blind area and low-efficiency area identification and facility addition method and system based on a knowledge graph, and the method comprises the steps: integrating the current data of a target city, constructing a target city graph which takes spatial form elements and current public service facility elements as entities, and takes a spatial distance as a relation; and screening out a service range sub-graph of each public service facility based on the target city map, and further identifying a service blind area and a low-efficiency area. In addition, for service blind areas and low-efficiency areas, entity nodes in the sub-graphs are intelligently screened according to multi-dimensional elements to serve as newly-added facility site selection points, and results are interactively displayed. According to the method, the multi-dimensional knowledge graph is constructed, so that the relevance characteristics between each element of the crowd and the space and the service facilities can be accurately grasped, and the service blind area and the low-efficiency area can be more scientifically and objectively identified. And meanwhile, the comprehensive site selection credibility based on the multi-dimensional elements is higher, the sub-item site selection optimization is more comprehensive, and the formed three-dimensional interactive display is more stereoscopic and visual.

A guest engagement system and associated methods provide seamless engagement with guests of facilities through the use of wireless sensing technologies. The system makes use of individual guest devices which are carried by guests and used to automatically identify and authenticate the guests throughout the facility. Services can thereby be seamlessly provided to the guests throughout the facility. The services include automatic unlocking of doors, including hotel or state room doors, based on the guests' immediate proximity to their assigned room's door. The services also include automated payment services provided at checkout or vending terminals, and automated log-on to interactive displays and portals, among others, based on secure wireless authentication of the guest devices. Antenna devices and methods for making and using the same are disclosed. An exemplary antenna device can include first and second wireless communication antennas configured to operate using first and second communication standards, respectively.

The invention discloses an exhibition hall interactive display method and system supporting artificial intelligence recognition, and relates to the technical field of data processing. Comprising the steps that interaction information of visitors is obtained, a matched artificial intelligence interaction method is opened according to the type of the interaction information, the interaction information is matched with the corresponding visitors, and based on a matching result, an exhibition hall transmits content information of exhibits to the visitors according to the matched artificial intelligence interaction method. The content information is displayed in different artificial intelligence interaction methods in different forms, and the exhibition hall executes a corresponding judgment rule based on the interaction degree of the visitor and the content information. The exhibition hall provides different exhibit information transmission for the visitors in different interaction modes according to the types of the visitors, in addition, by obtaining the interaction information of the visitors, the exhibition hall can intelligently select the proper interaction mode, and the visitors can obtain richer and deeper exhibit information in the interaction process.

The invention discloses an SF6 gas monitoring data online processing system. The system comprises a multi-mode sensing unit, an edge calculation preprocessing unit, an Internet of Things communication transmission unit, a cloud deep reinforcement learning and Transform fusion processing unit, a decision analysis unit and an interactive display unit. The multi-mode sensing unit collects SF6 gas pressure, temperature and other parameters in real time, and the parameters are uploaded to the cloud through the Internet of Things communication transmission unit after edge calculation preprocessing. The cloud end utilizes a deep reinforcement learning and Transform fusion model to mine a complex relationship and a change trend among parameters, the decision analysis unit evaluates a gas state according to the complex relationship and the change trend, and the interactive display unit visually displays a result. The system overcomes the problems of low manual efficiency, shallow data processing, poor self-adaption and the like of traditional monitoring, realizes accurate, real-time and intelligent monitoring of the SF6 gas density, and provides reliable guarantee for safe operation and intelligent operation and maintenance of substation equipment.

The invention discloses a multi-sensory interaction display system based on the Internet, and the system comprises a multi-sensory data collection layer which carries out the synchronous collection of visual, auditory, touch and temperature data, carries out the preprocessing of the collected multi-modal data, and generates a multi-modal data package with a unified timestamp; the multi-modal data coding and transmission layer is used for compressing a multi-modal data packet based on a space-time joint coding algorithm and transmitting the multi-modal data packet through a low-delay transmission protocol; the terminal rendering and interaction layer is used for generating user interaction feedback in real time by adopting a dynamic multi-sensory fusion algorithm; and the edge-cloud cooperative computing layer is used for realizing low-delay feedback control and privacy protection based on a federated learning distributed computing framework. According to the invention, through layered decoupling and cross-layer optimization, strong space-time consistency of multi-modal interaction is realized, and through three innovative technologies of space-time joint coding, dynamic multi-sensory fusion and low-delay tactile control, high-fidelity and low-delay multi-sensory interaction is realized.

The invention provides a surgical anatomy monitoring method and system based on AR glasses, and relates to the technical field of augmented reality, and the method comprises the steps: obtaining medical knowledge data through augmented reality equipment, and generating a digital data set containing a three-dimensional model, a text and a two-dimensional image; acquiring real-time image data from the surgical site, extracting corresponding anatomical structure data, and generating a three-dimensional model data set; presenting the three-dimensional model data set through augmented reality equipment, and superposing the surgical operation guidance data to generate an interactive display result; and receiving a voice control instruction, adjusting the three-dimensional model data set or the surgical operation guidance data, and generating adjusted display content. According to the method, the shielded organ structure in the image data can be analyzed, a complete anatomical structure is generated by combining database inference, and related information is automatically labeled. According to the system, by integrating medical knowledge, the augmented reality technology and image recognition analysis, visual and accurate visualization assistance is provided for an operation, and the operation precision and the teaching effect are improved.

The utility model discloses an interactive display device for a piano mechanical structure, and relates to the technical field of music education. The device comprises a key model structure, a pedal interaction structure and an audio-video playing unit. The key model structure comprises keys, supporting pieces, ejector rods, hammers and strings, one ends of the keys are connected with one ends of the ejector rods, the other ends of the ejector rods are connected with the hammers, and the striking direction of the hammers faces the strings; the pedal interaction structure comprises a pedal and a treading sensing unit, the downward pressing direction of the pedal faces the other end of the key, and the treading sensing unit is used for sensing the treading action of the foot of the human body on the pedal; and the audio-video playing unit is connected with the treading sensing unit and is used for playing a piano internal structure display video. According to the utility model, the interactive experience can be improved, the learning interest and participation sense of audiences are enhanced, and the complex mechanical principle of the piano becomes easy to understand and memorize, so that the effects of music education and musical instrument display are improved.

Techniques described herein relate to a computer-implemented method for generating a smart overlay in an interactive display. The method may include receiving a plurality of real-time event data comprising a plurality of real-time event actions, receiving a plurality of user data comprising a plurality of user actions, capturing one or more real-time user interactions with the interactive display, generating a unique relevancy threshold using the plurality of real-time event actions, the plurality of user actions, and the one or more real-time user interactions, as the plurality of real-time event data and the one or more real-time user interactions are received, generating, in real-time, at least one unique smart overlay that may have a relevancy that exceeds the unique relevancy threshold, and updating, in real-time, the interactive display with the at least one unique smart overlay.

A method may include receiving data for a game, the data comprising at least one of tracking data or event data. The method may include determining an occurrence of a trigger event within the game based on the data for the game. The method may include providing the data for the game and the occurrence of the trigger event to a first machine learning (ML) model, where the first ML model is trained to generate a graphic based on the data for the game and the occurrence of the trigger event. The method may include receiving, from the first ML model, the graphic, and generating a visual element including the graphic for presentation within a user interface. The visual element may be configured to include an interactive element or be positioned adjacent to the interactive element within the user interface.

An artificial intelligence (AI) diagnostic display device for predicting automotive diagnosis. The AI diagnostic display being configured to: receive a set of symptomatic data of the vehicle relating to detected conditions of the vehicle, the symptomatic data including: (i) one or more symptoms comprising (A) one or more generated error codes from the vehicle and / or (B) one or more symptomatic descriptions of the vehicle from a user and (ii) date data of when each symptom was detected; receive a set of repair or maintenance procedures of the vehicle relating to addressing each symptom in the set of symptomatic data; input the set of symptomatic data and the set of repair or maintenance procedures into the generative diagnostic prediction machine learning model to generate one or more predicted error conditions of the vehicle; and / or present, via an interactive display, at least a portion of the one or more predicted error conditions.