Abstract: Systems and methods are provided for generating and storing data snippets. A data file can be obtained from a data source through a plug-in interface. The data file can be played to a user through an application running on a computing device. An indication can be received from the user, through the application, to tag an entity depicted in the data file during playback of the data file. A snippet of the data file can be stored, wherein the snippet is a portion of the data file corresponding to the entity tagged by the user.

Abstract: Systems, methods, and non-transitory computer readable media are provided for displaying and annotating map-based geolocation data at an augmented reality (AR) headset. Users with access to the map-based geolocation data can create or confirm annotations for geospatial data that may be sent to the server computer and transmitted back to the headset of the user as well as different AR headsets associated with other users.

Abstract: Computer implemented systems and methods for annotating and linking electronic documents. In accordance with some embodiments, annotations assigned to source electronic documents are received and snippets are generated from the received annotations. The generated snippets are aggregated into clusters, which are used to generate an electronic document. Links between the snippets and their respective source documents may be generated and embedded in the generated electronic document.

Abstract: In some embodiments, a method comprises obtaining a video stream of a portion of a geographic area, the video stream comprising a plurality of video frames, each of the plurality of video frames captured at a respective first time. Contextual metadata is obtained, the contextual metadata associated with one or more objects located in the portion of the geographic area at a second time, the second time being before each of the respective first times. The contextual metadata is inserted into one or more of the plurality of video frames, thereby causing the contextual metadata associated with the one or more objects to be overlaid on one or more corresponding portions of the one or more of the plurality of video frames.

Abstract: Systems, methods, and non-transitory computer readable media are provided for generating or obtaining situations in which scores indicative of a danger or a hazard exceeds a threshold, receiving a selection of a first situation, in response to receiving the selection of the first situation, obtaining intelligence data, asset data, and operational data, analyzing the intelligence data using a trained machine learning model for the first situation; and determining a response measure based on the analyzed intelligence data.

Abstract: In some embodiments, a method comprises obtaining a video stream of a portion of a geographic area, the video stream comprising a plurality of video frames, each of the plurality of video frames captured at a respective first time. Contextual metadata is obtained, the contextual metadata associated with one or more objects located in the portion of the geographic area at a second time, the second time being before each of the respective first times. The contextual metadata is inserted into one or more of the plurality of video frames, thereby causing the contextual metadata associated with the one or more objects to be overlaid on one or more corresponding portions of the one or more of the plurality of video frames.

Abstract: An example method of determining geolocations of composite entities based on information retrieved from heterogeneous data sources comprises: identifying, by a computer system, an association of a first object and a second object with a composite object; receiving, from a first data source associated with the first object by an ontology, a first dataset including a first data item specifying a first time identifier and a first geolocation associated with the first object; receiving, from a second data source associated with the second object by the ontology, a second dataset including a second data item specifying a second time identifier and a second geolocation associated with the second object; and determining, by applying a rule set associated with the ontology to the first dataset and the second dataset, a geolocation of the composite object and a corresponding time identifier.

Abstract: Systems, methods, and non-transitory computer readable media are provided for displaying and annotating map-based geolocation data at an augmented reality (AR) headset. Users with access to the map-based geolocation data can create or confirm annotations for geospatial data that may be sent to the server computer and transmitted back to the headset of the user as well as different AR headsets associated with other users.

Abstract: Methods, systems, and non-transitory computer readable media to display a geographical map overlaid with a marker layer comprising at least one marker; receive input from a user to change a zoom level of the geographical map from a first map scale to a second map scale; display the geographical map at the second map scale; and overlay the marker layer at the second map scale with the at least one marker at a second marker size. The second marker size is determined based on a correlation between the second map scale and the second marker size, in which (i) the second marker size is increased or decreased in the same direction as the second map scale when the second map scale is within a range from low threshold point to high threshold point.

Abstract: Systems and methods are provided for improved graphical user interfaces. The system enables multiple separate applications, each of which may typically be in their own separate window or tab, to be interacted within a single window, such as a tab of a web browser application. The main window includes smaller sub-windows that can correspond to a distinct application with its own graphical user interface. A large sub-window within the main window is opened for the primary application where the user is currently interacting with a graphical user interface of the primary application. The user then is able to switch between applications (all within the same main window) and applications that are no longer being used can be minimized in smaller sub-windows off to the side of the primary sub-window. The system enables a user to drag and drop an item from one sub-window to another sub-window. Some of the interactions between the windows and data transformations are stored and can be visually presented in a graph.

Abstract: Systems, methods, and non-transitory computer readable media are provided for generating or obtaining situations in which scores indicative of a danger or a hazard exceeds a threshold, receiving a selection of a first situation, in response to receiving the selection of the first situation, obtaining intelligence data, asset data, and operational data, analyzing the intelligence data using a trained machine learning model for the first situation; and determining a response measure based on the analyzed intelligence data.

Abstract: An example method of determining geolocations of composite entities based on information retrieved from heterogeneous data sources comprises: identifying, by a computer system, an association of a first object and a second object with a composite object; receiving, from a first data source associated with the first object by an ontology, a first dataset including a first data item specifying a first time identifier and a first geolocation associated with the first object; receiving, from a second data source associated with the second object by the ontology, a second dataset including a second data item specifying a second time identifier and a second geolocation associated with the second object; and determining, by applying a rule set associated with the ontology to the first dataset and the second dataset, a geolocation of the composite object and a corresponding time identifier.

Abstract: Systems, methods, and non-transitory computer readable media may provide a view of geospatial information. A user's selection of a location may be obtained. Characteristic information describing characteristics of the location may be obtained. Activities information describing activities of the location may be obtained. An interface (e.g., user interface, API) enabling presentation of a geospatial view of the activities of the location with respect to the characteristics of the location may be provided.

Abstract: Methods, systems, and non-transitory computer readable media configured to display a geographical map overlaid with a marker layer comprising at least one marker; receive input from a user to change a zoom level of the geographical map from a first map scale to a second map scale; display the geographical map at the second map scale; and overlay the marker layer at the second map scale with the at least one marker at a second marker size. The second marker size is determined based on a correlation between the second map scale and the second marker size, in which (i) the second marker size is increased or decreased in the same direction as the second map scale when the second map scale is within a range from a low threshold point to a high threshold point, and (ii) a ratio change between two adjacent marker sizes is smaller than a ratio change between two corresponding adjacent map scales when the second marker size is outside the range from the low threshold point to the high threshold point.

Abstract: Systems and methods are provided for intelligently monitoring environments, classifying objects within such environments, detecting events within such environments, receiving and propagating input concerning image information from multiple users in a collaborative environment, identifying and responding to situational abnormalities or situations of interest based on such detections and/or user inputs.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for validating or rejecting automated detections of an entity being tracked within an environment in order to generate a track representative of a travel path of the entity within the environment. The automated detections of the entity may be generated by an artificial intelligence (AI) algorithm. The track may represent a travel path of the tracked entity across a set of image frames. The track may contain one or more tracklets, where each tracklet includes a set of validated detections of the entity across a subset of the set of image frames and excludes any rejected detections of the entity. Each tracklet may also contain one or more user-provided detections in scenarios in which the tracked entity is observed or otherwise known to be present in an image frame but automated detection of the entity did not occur.

Abstract: Systems and methods are provided for generating and storing data snippets. A data file can be obtained from a data source through a plug-in interface. The data file can be played to a user through an application running on a computing device. An indication can be received from the user, through the application, to tag an entity depicted in the data file during playback of the data file. A snippet of the data file can be stored, wherein the snippet is a portion of the data file corresponding to the entity tagged by the user.

Abstract: Systems and methods are provided for generating and storing data snippets. A data file can be obtained from a data source through a plug-in interface. The data file can be played to a user through an application running on a computing device. An indication can be received from the user, through the application, to tag an entity depicted in the data file during playback of the data file. A snippet of the data file can be stored, wherein the snippet is a portion of the data file corresponding to the entity tagged by the user.