26 results about "Digital object" patented technology

A method of rendering a scene in a three-dimensional environment using a plurality of metaframes is disclosed. Data from digital objects within a three-dimensional (3D) environment is loaded. Motion for the digital objects is determined. The determining of the motion includes applying simulation or physics logic to the data. A plurality of metaframes is generated based on a plurality of scene graphs captured at a plurality of points in time. Each of the metaframes includes data describing position, scale, or rotation of the digital objects within the 3D environment at a point in time of the plurality of points of time. The plurality of metaframes is organized into a queue of metaframes. The plurality of metaframes is distributed to one or more rendering nodes in response to dequeuing of the metaframes from the queue by the one or more rendering nodes.

The application discloses a batch encapsulation method of digital objects in a network, and belongs to the field of digital object encapsulation, and comprises the following steps: splitting a plurality of encapsulation tasks in an encapsulation task queue to obtain at least one encapsulation task element of each encapsulation task; classifying all the encapsulation task elements based on a preset encapsulation classification mode to obtain a plurality of element encapsulation queues; performing parallel encapsulation on the encapsulation task elements in each element encapsulation queue to obtain encapsulation sub-data corresponding to each encapsulation task element respectively; and fusing the encapsulation sub-data corresponding to all the encapsulation task elements of each encapsulation task respectively to obtain encapsulation data of each encapsulation task. Through the chain processing mechanism of “splitting-classification-parallel encapsulation-fusion”, the application improves the business fine granularity of batch encapsulation, makes the encapsulation process further efficient, accurate and stable, and improves the problems of encapsulation result delivery quality and insufficient efficiency.

The embodiment of the application discloses a kind of security threat processing method, device, terminal and computer readable storage medium, the method comprises: monitoring to abnormal behavior log, determine the security processing large model workflow for abnormal behavior log;Security processing large model is used according to security processing large model workflow to carry out security threat processing to abnormal behavior log;Monitoring security processing large model in the current security processing stage of security processing large model workflow, by intelligent security digital object service output the large model workflow explanation information corresponding to current security processing stage.Can solve the technical problem that conventional security threat processing software is difficult to provide perceptible security threat killing process for enterprise like network security expert, so that enterprise is difficult to enhance the cognition of security threat in the process of processing security threat.

A wearable device for providing sensory feedback in an extended reality environment is disclosed. The device includes a band configured to enclose an anatomical location, such as a wrist, adjacent to a distal extremity, such as a hand. The band houses a plurality of electrodes that deliver transcutaneous electrical nerve stimulation (TENS) to the distal extremity, eliciting distally referred sensations corresponding to the user's interaction with a digital object. A controller receives sensor signals indicative of movement of the distal extremity, determines the user's motor intent, and generates a sensory feedback signal to control the delivery of TENS pulses. The device allows for anatomically congruent sensory feedback in augmented reality environments without inhibiting natural interactions with physical objects.

The application relates to the technical field of safety monitoring, and particularly discloses a well wall full-depth multi-parameter safety monitoring system and method based on distributed optical fibers, which generates a space-time event sequence by event identification and positioning of acoustic wave data and generates a strain space-time evolution sequence by dynamic feature extraction of strain data; fuses the above sequences and geomechanical parameters to construct a digital object representing a three-dimensional geological structure around a well; takes actual pumping parameters as a driving force, takes multi-field data sequences as constraints, generates a comprehensive fracture expansion behavior description through iterative calculation; obtains a three-dimensional fracture network spatial configuration corrected by multi-field data through the establishment of a matching metric quantitative relationship and automatic adjustment of uncertainty parameters in the digital object; analyzes the independent expansion paths and inter-cluster connectivity of fractures of each perforation cluster based on the configuration, realizes accurate diagnosis of interlayer channeling, and generates a comprehensive safety evaluation report; and the application improves the precision and reliability of fracturing effect evaluation and engineering risk early warning.

This application provides a data security sharing method, apparatus, and system based on a usable but invisible mechanism, applied in the field of cross-domain data sharing security technology. It constructs a secure sharing mechanism based on a three-dimensional collaborative approach of "spatiotemporal-object-rights," deeply integrating a spatiotemporal grid coding system with a digital object identification system to generate unique identifiers with spatiotemporal semantics. This is combined with a rights root mechanism to complete data ownership registration. During data circulation, relying on data network infrastructure and digital contract mechanisms, usage requests are routed to the data provider side, and a trusted execution environment bound to the contract is scheduled. This ensures that the original data completes secure computation without leaving the local domain. Simultaneously, traceable evidence information and measurable encrypted credentials are automatically generated along with the computation results. Ultimately, this achieves trusted sharing throughout the entire lifecycle of data—data that remains within the domain, usable but invisible, controllable, and measurable—providing fundamental support for a data-driven society.

The present invention provides system executing dynamic mixed reality experiences on user device including processors and non-transitory memory storing instruction receiving trigger signals from user interaction with trigger mechanisms through user devices. Trigger mechanisms comprise universal access links invoking instant applications without installation. System activates modular mixed reality engine dynamically loading mixed reality modules and digital assets, executing instant applications within sandboxed runtime environments using secure execution frameworks. System enables context-aware, dynamic, adaptive integration of virtual elements into physical environment displayed through user interfaces using real-time physical environment data and spatial analysis. Mixed reality experiences render on adaptive interactive user interfaces enabling dynamic digital placement, manipulation, transformation of virtual elements adjusted dynamically before and during rendering based on real-time physical environment data, spatial analysis, hardware-software configurations. System improves device functioning minimizing computational, overhead sandboxed execution, reducing launch latency via instant application invocation, enabling secure, adaptive, spatially consistent digital object interaction.

The described technology is generally directed towards automatic storage of data / digital objects in a self-adaptive replication system. Data replication can be switched between synchronous (sync) replication and asynchronous (async) replication between a local storage system and a remote storage system. Latency between writing data to the local storage system and the remote storage system can be determined. In the event of the latency is less than a threshold value, sync replication can be utilized, and in the event of the latent is greater than the threshold value, async replication can be utilized. Accordingly, data replication can adapt based on infrastructure, volume of data to be write, period(s) of no-data writes, etc. Async replication can use a buffer to temporarily store data during a write operation at the remote storage system. Alternatively, a list can be maintained for data to write to the remote storage system for subsequent replication.

The application provides a bridge construction scene data modeling system and method based on space-time objects; the system comprises a data classification module, a framework modeling module, a multi-dimensional description module and a model integration module; the application introduces dimensions such as cognitive intelligence, behavior action and correlation relationship, so that the digital object has the ability of perception, analysis and decision-making, and realizes evolution from a static model to a dynamic intelligent entity; through systematic description of the composition structure and the correlation relationship, a knowledge network between objects is constructed, and a leap from data integration to semantic correlation is realized; through fusion of real-time perception and cognitive intelligence, the system can actively predict risks and optimize construction schemes based on environmental changes and object states, realizes self-adaptation and self-optimization of the construction process, and improves the intelligent management level of the project.

Embodiments of the present application disclose a service processing method and device. The method comprises: receiving a display request of a digital object unique identifier (DOI), determining a service type corresponding to the display request, obtaining basic user information of a first user and pre-authenticated identity category information corresponding to the service type according to the determined service type, generating and displaying the DOI of the first user according to the basic user information and the identity category information, so that a second user performs service processing according to the basic user information and the identity category information carried in the displayed DOI. According to the embodiments of the present application, the second user can obtain the identity category information of the first user while obtaining the DOI of the first user, thereby effectively reducing or avoiding additional operations of a service provider.

A robot location planning method and apparatus based on reinforcement learning. The location planning method comprises: performing, by means of a preset positioning pen module, digital description on the location, shape and posture information of an object to be manipulated by means of a robot, so as to obtain digital object data; by using the digital object data as an input to a deep neural network of a simulation platform corresponding to the robot, and using, as an output, a manipulation location at which the robot controls the object, performing training to obtain an initial location planning model of the robot; on the basis of an application scenario of the object, selecting a corresponding observation space and task return logic to perform scenario optimization on the initial location planning model, so as to obtain a robot location planning model; and on the basis of the robot location planning model, predicting the digital object data of the object to be manipulated, so as to obtain a target location at which the robot manipulates the object to be manipulated. Therefore, on the basis of a trained robot location planning model, the robot planning accuracy meets the requirements of various industrial scenarios, and the workload involved in manual operations is greatly reduced.

The present disclosure provides a system and method for harmonizing digital objects with lighting conditions of a physical environment. The system includes one or more processors and a non-transitory memory storing instructions. The instructions, when executed by the one or more processors, cause the system to receive an image of the physical environment captured by one or more sensors of a user device, analyze the image to determine environmental parameters, and generate harmonization data. The harmonization data is applied to the digital object using an artificial intelligence model and / or a non-artificial intelligence algorithm to achieve visual coherence with the physical environment. The system implements a modular mixed reality engine for rendering the harmonized digital object and dynamically optimizing the rendered digital object in real time.

A system for rendering an augmented image frame includes a sensor, an interface, a memory, a processor, and a display. The sensor captures an environment image of an external environment of a vehicle that includes a physical object. The interface receives an augmentation class to be applied to the environment image frame. The memory stores an augmentation engine that causes the processor to receive the environment image frame and the augmentation class. The augmentation engine further causes the processor to determine an identity and location of the physical object, and retrieve a digital object associated with the physical object and the augmentation class. Subsequently, an augmented image frame is rendered including the digital object disposed at the location of the physical object in the external environment. Finally, the display depicts the augmented image frame to present the user with an aesthetically appealing synthetic view of the external environment.

The present disclosure provides a system and method for detecting and classifying shadows in a physical environment. The system includes one or more processors and a memory storing executable instructions. The system receives an image of a physical environment from one or more sensors of a user device, generates a depth map of the environment, and detects one or more shadow regions using a trained shadow detection model. The system classifies the image as a first or second shadow-type scene based on a generated shadow mask and the depth map. The system analyses light-ray distribution applies mathematical or HDRI-based estimation for light parameters, and maintains temporal coherence across sequential frames. The system outputs scene-classification data that triggers selection of a rendering or harmonization pipeline to ensure accurate lighting adaptation in mixed-reality environments.

A method for generating shadows for digital objects within a digital image using a height map is disclosed. This disclosure relates to a system, method, and non-transient computer-readable medium for generating a height map for a digital object depicted in a digital image and further utilizing that height map to generate shadows for the digital object. In practice, in one or more embodiments, the disclosed system generates (e.g., using a neural network) a height map indicating the pixel height of pixels representing digital objects depicted in the digital image. The disclosed system uses the pixel heights and lighting information for the digital image to determine how the pixels of the digital image are projected to create shadows for the digital object. Furthermore, in some implementations, the disclosed system utilizes the determined shadow projection to generate (e.g., using another neural network) soft shadows for the digital object. Therefore, in some cases, the disclosed system modifies the digital image to include shadows.

A system and method enable creation and modification of digital objects within an extended reality (XR) environment using voice commands in combination with detected physical user inputs. An XR hardware device detects a spoken command requesting creation or modification of a digital object and detects a physical input indicative of a spatial location within the XR environment. Spatial coordinates corresponding to the physical input are determined, and a representation of the digital object is displayed at the determined spatial coordinates. Visual attributes of the digital object may be assigned or modified based on additional spoken instructions and user interactions, including gesture-based inputs and measurement selection interfaces.

This invention relates to a digital twin-based intelligent scheduling and optimization method for the entire e-commerce warehousing process, comprising: acquiring real-time data on equipment status and storage location adjustments from the warehousing environment through a sensor network; simulating the entire order processing process using a digital twin model based on the real-time data to obtain a scheduling path; acquiring real-time tracked digital objects based on the scheduling path; predicting order conflicts under peak scheduling using machine learning algorithms based on the digital objects to identify bottlenecks in the supply chain; coordinating equipment status and order processing through a dynamic allocation algorithm for the identified bottlenecks to obtain a coordination solution that improves customer satisfaction; and simulating the entire warehousing management process based on the obtained coordination solution to obtain the final optimized output. This invention can achieve highly efficient and intelligent warehousing scheduling, reduce conflicts, lower costs, and improve the overall supply chain operational efficiency.

The application discloses an object generation method and related equipment, and relates to the field of AI. The method comprises the following steps: acquiring N reference perspective pictures corresponding to a digital object under different perspectives, wherein N is an integer greater than 1; obtaining M reference perspective pictures of the digital object based on an editing operation of a user on the N reference perspective pictures, wherein M is an integer greater than or equal to N; and generating a three-dimensional object resource of the digital object based on the M reference perspective pictures of the digital object. The application is used for efficiently generating a controllable three-dimensional object resource of a digital object.

Disclosed are methods, systems, and non-transitory computer readable memory for processing, analyzing, and visualizing complex digital object sets using large language models. For instance, a method may include receiving a set of digital objects; indexing the received set of digital objects to generate indexed data; generating a timeline prompt based on the indexed data; processing the timeline prompt to generate a timeline response; and outputting the timeline response as an interactive timeline of based on the set of digital objects.

Proposed is a digital finite state system and platform and corresponding method thereof, for processing a digital object by object-state triggered processes. The object being capturable by a digital set of defined parameter values comprising at least structural parameter values or state parameter values associated with the object, wherein the digital set of defined parameter values define an initial state and / or set-up of the object, wherein the object is automatedly processed by the digital systems by processing the digital object by a sequence of process steps through which the digital object passes from an initial state to a final state. The digital system comprises a finite state machine engine, wherein the processing of each digital object is based on a finite state automaton comprised in or associated with the digital object, the finite state automaton comprising all possible states and associated transition rules for the digital object, the transition rules at least comprising the process steps and condition parameter values for the digital object to be processed form one finite state to a next finite state by the finite state machine engine. The possible states and their transition rules for the digital object are configurable within the digital object and are implicitly processed as part of an initial digital object configuration process, wherein the initial state and / or set-up of the object at least comprise the possible states and associated transition rules as digital object configuration.

Systems and methods of enabling and providing digital objects across multiple environments are provided. A method includes: extracting, by a computing system, image content from a digital object, whereby the image content satisfies a filter regarding prohibited content; causing, by the computing system and based on the image content, a provisioning of the digital object to an application to display the digital object as being associated with a card; receiving, by the computing system, a credential associated with a third-party system depicting a digital representation of the card; providing, by the computing system, the received credential to the third-party system depicting the digital representation of the card; and linking, in response to a verification of the received credential, the computing system with the third-party system.

The application discloses a kind of digital object metadata gradually gathered under large-scale cyber environment, and relates to cyber field.It includes: the metadata of digital object published by the present cyber node is determined as the metadata to be reported by itself;The present cyber node creates and executes metadata reporting task, to report the metadata to be reported by itself of the present cyber node and the metadata that the child cyber node of the present cyber node has reported to the present cyber node, to the parent cyber node of itself, and trigger the parent cyber node of itself to execute metadata reporting process;The metadata to be reported of each cyber node in cyber, along the path of the cyber node to root cyber node in hierarchical tree structure, is gathered to root cyber node through one or more times of metadata reporting process, to control digital object in cyber by the metadata gathered by root cyber node, and master the construction of overall digital object in cyber.

This invention discloses a method for motion association between virtual objects and digital objects in a virtual scene, comprising: constructing a virtual object model in the virtual scene; obtaining connection information of the constructed virtual object model, splitting it according to the connection information to obtain virtual object sub-models, and constructing a restricted range of motion between the virtual object sub-models according to the connection information; obtaining the feature information matrix of the virtual object and combining it with the three-dimensional spatial structure to obtain a digital object model; obtaining a digital object sub-model V according to the three-dimensional spatial structure of the virtual object sub-models; calculating the motion information matrix V1 of each virtual object sub-model; and performing a matrix multiplication operation between the digital object sub-model V and the motion information matrix V1 to obtain the moved digital object sub-model V' = V × V1. This method enables the digital object model to obtain motion information, facilitating subsequent real-time operation of the digital object model. Through matrix operations, the computational load is small and the real-time performance is high.

Disclosed in the embodiments of the present disclosure are a digital content display method, a head-mounted display device and a computer-readable medium. A specific implementation manner of the method comprises: acquiring an object image set corresponding to a target object (201); on the basis of the object image set, performing model training on a pre-constructed digital content display model, so as to generate digital content display information (202); loading the digital content display information into a pre-created digital content editing space (203); and on the basis of the digital content display information in the digital content editing space, displaying, in a head-mounted display device, a projection picture of the target object that corresponds to target pose information (204). The implementation manner provides a digital content display manner, such that imaging of a 3D digital object in each dimension can be displayed at a higher fidelity under lower computing power overheads and time overheads, thereby improving the visual experience of a user.