Abstract: A database system is described that includes components for storing time-series data and executing custom, user-defined computational expressions in substantially real-time such that the results can be provided to a user device for display in an interactive user interface. For example, the database system may process stored time-series data in response to requests from a user device. The request may include a start time, an end time, a period, and/or a computational expression. The database system may retrieve the time-series data identified by the computational expression and, for each period, perform the arithmetic operation(s) identified by the computational expression on data values corresponding to times within the start time and the end time. Once all new data values have been generated, the database system may transmit the new data values to the user device for display in the interactive user interface.

Abstract: In some examples, systems and methods for object tracking are provided. For example, a method includes: receiving an image frame in a sequence of image frames; identifying an object of interest in the image frame using a single-object tracker (SOT) based upon one or more templates associated with the object of interest in a template repository; generating a SOT output based on the identified object of interest; and detecting one or more objects in the image frame using a multiple-object tracker (MOT). In some examples, the MOT including a machine-learning model. In some examples, the method further includes conducting a matching between the SOT output and each detected object of the one or more detected objects to generate a match result; and generating a tracker output based at least in part on the SOT output, the one or more detected objects, and the match result.

Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame of a sequence of image frames, performing object detection using an object tracker to identify an object of interest in the first image frame, based upon one or more templates associated with the object of interest in a template repository, outputting a first indicator associated with a first image portion corresponding to the identified object of interest, and receiving a user input associated with the object of interest. In some examples, the user input indicates an identified image portion in the image frame. In some examples, the method further includes generating a retargeted template, based at least in part on the identified image portion, and determining a second image portion associated with the object of interest in a second image frame of the sequence of image frames using the object tracker, based at least in part on the retargeted template.

Abstract: Disclosed herein are systems and methods for sensor cueing. In one example, the method includes: receiving a model inference from a computing model using a first set of sensor data, the model inference associated with a target object; generating a sensor command based at least in part upon the model inference, the sensor command comprising one or more object parameters associated with the target object and one or more sensor parameters associated with a sensor; and transmitting the sensor command to the sensor via a sensor API.

Abstract: Disclosed herein are systems and methods for model selection and update operation. The methods include receiving a model request with parameters selected from a group consisting of a type of computing model, a processing characteristic, and a data characteristic; receiving information associated with a plurality of computing models from a model repository; selecting one or more computing models based upon the model request; compiling a container request based on the model request and the one or more selected computing models; transmitting the container request to a container infrastructure; and coupling the one or more selected computing models to an artificial intelligence inference platform (AIP).

Abstract: A database system is described that includes components for storing time-series data and executing custom, user-defined computational expressions in substantially real-time such that the results can be provided to a user device for display in an interactive user interface. For example, the database system may process stored time-series data in response to requests from a user device. The request may include a start time, an end time, a period, and/or a computational expression. The database system may retrieve the time-series data identified by the computational expression and, for each period, perform the arithmetic operation(s) identified by the computational expression on data values corresponding to times within the start time and the end time. Once all new data values have been generated, the database system may transmit the new data values to the user device for display in the interactive user interface.

Abstract: Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.

Abstract: Systems and methods are provided for identifying relationships between defects. The system may obtain defect items and associated information. Defect items may be compared to one another based on their attributes to determine how related they are. According to the comparisons, defect items may be grouped together into issue items for further analysis by a user. The system may further update a defect comparison model according to user interaction with defect items.

Abstract: Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.

Abstract: A database system is described that includes components for storing time-series data and executing custom, user-defined computational expressions in substantially real-time such that the results can be provided to a user device for display in an interactive user interface. For example, the database system may process stored time-series data in response to requests from a user device. The request may include a start time, an end time, a period, and/or a computational expression. The database system may retrieve the time-series data identified by the computational expression and, for each period, perform the arithmetic operation(s) identified by the computational expression on data values corresponding to times within the start time and the end time. Once all new data values have been generated, the database system may transmit the new data values to the user device for display in the interactive user interface.

Abstract: System and method for model orchestration and sensor correlation according to certain embodiments. For example, a method includes: accessing a plurality of models, each model of the plurality of models configured to process data; receiving information corresponding to a plurality of sensors associated with a plurality of edge devices; selecting one or more models from the plurality of models based on a processing request; selecting one or more sensors from the plurality of sensors based on the processing request; building one or more model pipelines based at least in part on the one or more selected models and the one or more selected sensors; and deploying the one or more model pipelines.

Abstract: Systems and methods are provided for identifying relationships between defects. The system may obtain defect items and associated information. Defect items may be compared to one another based on their attributes to determine how related they are. According to the comparisons, defect items may be grouped together into issue items for further analysis by a user. The system may further update a defect comparison model according to user interaction with defect items.

Abstract: Systems and methods are provided for improved time series databases and time series operations. A time series service responds to requests from external devices. The external devices request time series data and submit time series queries. The time series service generates planned and efficient time series queries from the initial queries. The time series service performs operations such as unit conversion, interpolation, and performing operations on time series data. The time series service can identify which time series database to query from and/or cause data to be populated into a time series database from a data pipeline system.

Abstract: An interactive user interface for displaying projects comprising a collection of links specifying data to be displayed from a plurality of different applications and/or data sources. When loading a project for display, links are automatically parsed to identify the application and/or data source they are associated with. Retrieved data associated with the links is displayed in a format based upon that of their native application. The data may be displayed in an interactive format, allowing the user to change or manipulate the data in a manner that would be possible in the data's native application. A project may be expressed as a “project link,” comprising a text string, wherein the links of the assets associated with the project are included or embedded within the text string, and which may be shared between different users, and may function as a snapshot of the project.

Abstract: Systems and methods are provided for improved time series databases and time series operations. A time series service responds to requests from external devices. The external devices request time series data and submit time series queries. The time series service generates planned and efficient time series queries from the initial queries. The time series service performs operations such as unit conversion, interpolation, and performing operations on time series data. The time series service can identify which time series database to query from and/or cause data to be populated into a time series database from a data pipeline system.

Abstract: Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.

Abstract: Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.

Abstract: A database system is described that includes components for storing time-series data and executing custom, user-defined computational expressions in substantially real-time such that the results can be provided to a user device for display in an interactive user interface. For example, the database system may process stored time-series data in response to requests from a user device. The request may include a start time, an end time, a period, and/or a computational expression. The database system may retrieve the time-series data identified by the computational expression and, for each period, perform the arithmetic operation(s) identified by the computational expression on data values corresponding to times within the start time and the end time. Once all new data values have been generated, the database system may transmit the new data values to the user device for display in the interactive user interface.

Abstract: An interactive user interface for displaying projects comprising a collection of links specifying data to be displayed from a plurality of different applications and/or data sources. When loading a project for display, links are automatically parsed to identify the application and/or data source they are associated with. Retrieved data associated with the links is displayed in a format based upon that of their native application. The data may be displayed in an interactive format, allowing the user to change or manipulate the data in a manner that would be possible in the data's native application. A project may be expressed as a “project link,” comprising a text string, wherein the links of the assets associated with the project are included or embedded within the text string, and which may be shared between different users, and may function as a snapshot of the project.

Abstract: Systems and methods are provided for identifying relationships between defects. The system may obtain defect items and associated information. Defect items may be compared to one another based on their attributes to determine how related they are. According to the comparisons, defect items may be grouped together into issue items for further analysis by a user. The system may further update a defect comparison model according to user interaction with defect items.