126 results about "Object system" patented technology

The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems, the creation, development, maintenance, and use of a set of custom objects (and core objects) for use in a wide range of activities, including sales activities, marketing activities, service activities, content development activities, and others, as well as improved methods and systems for sales, marketing and services that make use of such entity resolution systems and methods as well as custom objects.

Systems and techniques are described herein for detecting objects. For instance, a method for detecting objects is provided. The method may include obtaining image data representative of a scene and point-cloud data representative of the scene; processing the image data and the point-cloud data using a machine-learning model, wherein the machine-learning model is trained using at least one loss function to detect moving objects represented by image data and point-cloud data, the at least one loss function being based on odometry data and at least one of training image-data features or training point-cloud-data features; and obtaining, from the machine-learning model, indications of one or more objects that are moving in the scene.

The invention relates to an airplane airborne BIT system testability verification method based on a correlation model, and the method comprises the steps: carrying out the testability modeling of an object system, and obtaining a dependency relation model which describes the relation between a fault mode of the object system and a test method of the object system; based on the dependency relationship model, obtaining a BIT theoretical fault report set of each fault mode under all test methods by utilizing reachability analysis, and deducing an optimal diagnosis fault fuzzy group; constructing a fault sample library, verifying the BIT theoretical fault report set by using samples in the library, and adjusting the dependency relationship model according to a verification result; and performing fault simulation based on the verified dependency matrix, and calculating a total fault detection rate and a fault isolation rate of the object system according to a generated fault report. According to the method, the isolation rate index of the fault can be effectively verified in the incomplete and unformed stage of the fault diagnosis strategy.

Provided is a robot control device making it possible to implement interlocking control with a numerical control device that has a plurality of control systems, without creating further complication. A robot control device 3 is provided with: a program input unit 32 for acquiring, from a storage unit 31, a robot control program for controlling a robot 30; an analysis unit 33 for analyzing the robot control program inputted from the program input unit 32, and acquiring a read command and a write command with which are set a variable of a numerical control program for controlling a numerical control device 2 and system information for identifying a subject system from among the plurality of control systems of the numerical control device; a system setting unit 37 for outputting a command for reading / writing a variable of the subject system on the basis of the information acquired by the analysis unit 33; and a data communication unit 39 for transmitting the command for reading / writing the variable of the subject system to the numerical control device 2, thereby causing the numerical control device 2 to update the variable of the subject system.

An XR system using interactive virtual objects having gelatinous attributes is provided. The XR system captures tracking data of a first hand and a second hand of a user. The XR system generates an interactive XR user interface with an interactive virtual object associated with a location on the first hand. The system renders the interactive virtual object using specific attributes and displays it as a component of the interactive XR user interface. The XR system detects a hover event of the user holding a digit of the second hand in proximity to the location on the first hand without touching the location, and in response, renders the interactive virtual object using a second set of attributes and re-displays the interactive virtual object. The XR system applies gelatinous attributes to the interactive virtual object to convey a state of an interactive XR user interface.

An eXtended reality (XR) system is provided that causes display of an interactive XR user interface of an XR application including an interactive virtual object. The XR system renders the interactive virtual object using a first set of interactive virtual object attributes and causes display of the interactive virtual object to a user as a component of the XR user interface. The XR system detects a pinch gesture of a hand of the user in proximity to the interactive virtual object and determines a set of pinch attributes of the pinch gesture. In response to detecting the pinch gesture, the XR system renders the interactive virtual object using a second set of interactive virtual object attributes based on the set of pinch attributes. The XR system then causes re-display of the interactive virtual object to the user and performs an action based on the set of pinch attributes.

The invention discloses a museum cultural relic environment monitoring method and system based on a fusion technology. The method comprises the following steps: monitoring a cultural relic circuit in real time by using a graph convolutional neural network, extracting node features to construct a logic circuit directed graph, determining fault nodes, and obtaining a fault diagnosis result; obtaining fixed reference objects and environment perception data in the museum to form environment information, inputting the environment information into a multi-reference object system analysis model, and analyzing the influence of environment factors on fault nodes to obtain an environment analysis result; combining the two results to position a cultural relic associated equipment power device which needs to be optimized emphatically; carrying out refined segmentation, simulation and optimization adjustment on the devices by utilizing a simulation technology, and generating a targeted power regulation and control strategy; and outputting the strategy so as to carry out environment adjustment and equipment maintenance treatment according to the strategy. By implementing the method provided by the invention, collaborative linkage of cultural relic state monitoring, environmental risk assessment and equipment power regulation and control can be realized, and comprehensive guarantee is provided for safety of cultural relics in a museum.

Systems and methods are provided herein for creating interactive 3D content for XR devices using a single camera. This may be accomplished by receiving a first piece of content comprising a plurality of segments, wherein the first piece of content is recorded by a first camera. A system may identify a first object within a first segment of the first piece of content and compare the first object with a plurality of 3D models stored in a database. In response to determining that a first 3D model of the plurality of 3D models corresponds to the first object, the system then generates a second piece of content, by combining the first 3D model with the first piece of content. The system also generates an index associated with the second piece of content.

Systems and methods for automatic verification of static and dynamic graphic objects rendered by a graphic engine are provided. In certain embodiments, a method includes receiving a signal from the graphic engine indicating that a triggering event has occurred. For each triggering event, the method includes copying data that includes at least one graphic object from a frame buffer to a test buffer; calculating a timing value for the at least one graphic object; overlaying the timing value on the at least one graphic object; and comparing the at least one graphic object with an expected graphic object.

Systems and methods for performing bulk actions on multiple graphical objects are described herein. The presently disclosed systems and methods may provide a client interface which may allow a user to select multiple objects and a bulk action interface which may allow a user to select one or more bulk actions that may be applied to issues associated with the previously selected multiple objects. In response to a selection of the one or more bulk actions, the systems and methods disclosed may cause the selected one or more bulk actions to be performed with respect to each of the selected multiple objects.

Systems and methods are described for training and / or using a machine-learning model. A first set of textual data is received. Using a trained machine-learning model that is applied to the first set, a classification of the first set is generated. The trained machine-learning model has been trained based on a subset of textual data that resulted from filtering a set of training textual data. The filtering of the set of training textual data to generate the subset of textual data is based on a comparison between the training textual data and a second set of textual data.

In one aspect, an example method can be used with a system comprising a set of domain specific language (DSL)-compatible modules. The method can include: (i) designing a template for an interactive media object, wherein the template includes one or more fixed portions and one or more variable portions; (ii) curating the designed template by at least using received input to modify the one or more variable portions of the designed template; (iii) modifying the curated template by replacing a content placeholder of the curated template with a corresponding content item, thereby automatically converting the curated template into an interactive media object definition file; and (iv) using the interactive media object definition file to render and present, via a media selection menu of a presentation device, an interactive media object defined by the interactive media object definition file.

The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems, the creation, development, maintenance, and use of a set of custom objects (and core objects) for use in a wide range of activities, including sales activities, marketing activities, service activities, content development activities, and others, as well as improved methods and systems for sales, marketing and services that make use of such entity resolution systems and methods as well as custom objects.

Systems and methods for optical and other sensory analysis of nutritional and other complex objects are disclosed. For example, techniques may include capturing an RGB-D image of a food using an integrated camera; inputting the RGB-D image into an instance detection network configured to detect food items; segmenting a plurality of food items from the RGB-D image into a plurality of masks, the plurality of masks representing individual food items; classifying a particular food item among the individual food items using a multimodal large language model; estimating a volume of the particular food item by overlaying an RGB image associated with the RGB-D image with a depth-map to create a point cloud; and estimating the calories of the particular food item using the estimated volume and a nutritional database.

An extended Reality (XR) system provides methodologies for scaling a virtual object in an XR user interface of the XR system. The methodologies include providing to a user an XR user interface of an XR system, where the XR user interface includes a virtual object displayed to the user. The XR system determines a pinch location of a pinch hand pose being made by the user and scales the virtual object based on the pinch location and a virtual object center point of the virtual object. The XR system redisplays the scaled virtual object to the user in the XR user interface.

Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Systems, methods, apparatuses, and computer-readable media for management of physical object authentication are described. For example, a system may include a physical object and an authentication device coupled to the physical object. The authentication device may include an antenna, a processor, a secure enclave comprising a private key uniquely associated with the physical object via a public key stored in a blockchain; and memory comprising instructions that, when executed by the processor, cause the processor to receive signals comprising a challenge element via the antenna, identify the challenge element as corresponding to a verification request, sign the challenge element with the private key to produce a verification token for authentication of the physical object, transmit signals comprising the verification token via the antennae, wherein the verification token enables authentication of the physical object via the public key stored in the blockchain. Other embodiments are described.

Systems and techniques are described herein for tracking objects. For instance, a method for tracking objects is provided. The method may include generating features based on a sensor-data frame; detecting an object based on the features; generating a bounding box based on the object; tracking the bounding box over a plurality of sensor-data frames to generate a tracklet, wherein the tracklet comprises a respective bounding box for each sensor-data frame of the plurality of sensor-data frames and an identifier; and combining the bounding box and a bounding box of the tracklet to generate an output bounding box.

Systems and methods of tracking objects, including a sensor configured to detect data related to one or more attributes of the object, a tracking device attachable to the object to transmit data detected by the sensor, a software application modifiable by a user to receive transmitted data from the tracking device according to a frequency of data transmissions selected by the user, including firmware within a chip on the tracking device configured to determine a frequency of data transmissions from the tracking device to the software application based on instructions related to characteristics of transmitted data, wherein the instructions are modifiable by the user based on the characteristics of transmitted data.

The application discloses a reference model switching method and device based on model estimation error trend, and the method comprises the steps of constructing a segmented model of a controlled object system, collecting system state information of the controlled object system through a sensor, extracting adjacent first and second models from a model set according to the system state information, respectively estimating first and second system state values of the first and second models, calculating errors between the system state value of the controlled object system collected by the sensor and the first and second system state values to obtain first and second deviation values, calculating a first error trend set based on the first deviation value and a second error trend set based on the second deviation value, respectively calculating first and second sub-control laws according to the first and second models, and outputting a target control law in combination with the first and second deviation values and the first and second error trend sets.

Systems and methods for detecting and tracking objects are provided. In one example, a computer-implemented method includes receiving sensor data from one or more sensors. The method includes inputting the sensor data to one or more machine-learned models including one or more first neural networks configured to detect one or more objects based at least in part on the sensor data and one or more second neural networks configured to track the one or more objects over a sequence of sensor data. The method includes generating, as an output of the one or more first neural networks, a 3D bounding box and detection score for a plurality of object detections. The method includes generating, as an output of the one or more second neural networks, a matching score associated with pairs of object detections. The method includes determining a trajectory for each object detection.

The invention discloses an IMA system fault diagnosis modeling tool based on a logic algebraic model, which comprises an ICD information management module and a fault diagnosis logic definition module, and is characterized in that the ICD information management module is used for realizing reading, analysis and data storage of an ICD file set and obtaining messages and parameters defined in ICD files; and the fault diagnosis logic definition module is used for defining various fault diagnosis logic algebraic models by defining variable names and logic operators according to the messages and parameters analyzed by the ICD information management module. According to the method, a visual and efficient logic modeling tool can be provided for IMA fault diagnosis function design and developers, and a diagnosis logic model is modified and solidified aiming at an object system, so that a high-adaptability agile design and development way is provided for the IMA system diagnosis function.

Systems and methods are provided herein for generating customized pieces of content for a user based on the user's preferences and measuring the effectiveness of the customized pieces of content. This may be accomplished by a system identifying one or more objects depicted in a first piece of content and then assigning labels to the one or more objects. The system may determine that a user skipped the first piece of content when the first piece of content was displayed to the user. In response to the user skipping the first piece of content, the system may identify one or more objects depicted in the first piece of content to change. The system may use the assigned labels and user preferences to generate a second piece of content. The second piece of content may then be displayed to the user.

Systems and methods for generating a collaboration object are provided. In particular, a computing device may detect an intent to generate a meeting invitation for a meeting by a meeting organizer via a first application, provide a meeting invitation template including one or more collaborative components, receive a first set of collaborative components, cause the meeting invitation to be sent to at least one invitee via the first application, in response to causing the meeting invitation to be sent to at least one invitee, generate the collaboration object associated with the meeting based on the first set of collaborative components, determine one or more additional collaborative components from the plurality of collaborative components that are relevant to the meeting, and update the collaboration object to include the one or more additional collaborative components.

An extended Reality (XR) system provides methodologies for scaling a virtual object in an XR user interface of the XR system. The methodologies include providing to a user an XR user interface of an XR system, where the XR user interface includes a virtual object displayed to the user. The XR system determines a pinch location of a pinch hand pose being made by the user and scales the virtual object based on the pinch location and a virtual object center point of the virtual object. The XR system redisplays the scaled virtual object to the user in the XR user interface.

Systems and methods for the automatic routing of an object from an origin to a destination. In one embodiment, the method includes modeling a route as a fluid dynamics potential flow. The object is an analogue of a flow particle, the origin is an analogue of a source, and the destination is an analogue of a sink. Intermediate destinations from the origin to the destination are defined as a stream function (Ψ) defined by irrotational and incompressible potential flow that independently represents a flow phenomenon operable to influence the route. The method includes dynamically calculating an optimal route for the object based on a current location and an aggregate stream function including a sum of each of the flow phenomena acting on the object between the current location and the destination. The method also includes routing the object through the intermediate destinations based on the optimal route to the destination.

The application discloses a kind of heterogeneous equipment's internet of things systems, and relates to the field of power system.Heterogeneous equipment's internet of things systems, comprising: at least one internet of things device, internet of things device includes the device model of the device information of the power device, the first adapter for receiving the call of power processing system to interface and the second adapter of the operation corresponding to interface to power device is executed;Each internet of things device is used to assist one type of power device access power processing system, realizes the compatibility and intercommunication of heterogeneous equipment in power system, greatly improves the integration efficiency and operation consistency of system.

This invention relates to the field of network information technology, and in particular to a method, apparatus, device, and storage medium for setting the position and height of a game character. The method includes: acquiring a target terrain file and performing two-dimensional sampling on the target terrain in the target terrain file; generating a two-dimensional array based on the sampling results and saving the two-dimensional array to a target data file; acquiring the planar position coordinates of the game character in the target terrain in real time during game execution; searching for the corresponding terrain height value in the target data file based on the planar position coordinates; and setting the current height value of the game character in the target terrain based on the terrain height value. Compared to existing methods that set the current height of a game character through an object system library, this invention effectively reduces the game package size, improves game smoothness, and facilitates development.

Systems and methods for classification of data comprise optimizing a neural network by minimizing a rhino loss value, including receiving a training batch of data samples comprising a plurality of samples for each of a plurality of classifications, extracting features from the samples to generate a batch of features, processing the batch of features using a neural network to generate a plurality of classifications to differentiate the samples, computing a rhino loss value for the training batch based, at least in part, on the classifications, and modifying weights of the neural network to reduce the rhino loss value.

Systems and methods are provided. For example, a method includes determining a position of a user's hand and identifying a manipulation gesture performed by the user targeting a virtual object. The method also includes determining a three-dimensional (3D) origin point based on the position of the user's hand when the manipulation gesture is performed, and determining a 3D end point based on a movement of the user's hand from the origin point. The method additionally includes deriving a 3D vector based on the 3D origin point and the 3D end point, and applying an action to the targeted virtual object based on the 3D vector, wherein the targeted virtual object is at a distance greater than the user's arm reach.