Abstract: Systems and methods for detection and/or intervention of stress episodes such as nightmares during sleep activity or flashbacks or anxiety attacks during waking or sleep activity. In some embodiments, sensors, such as gyroscopes, accelerometers, heart rate sensors, and/or other sensors, may be used for monitoring stress indicators indicative of a user's stress level. The sensed stress indicators may be used to calculate a stress level. If the stress level meets or exceeds a stress level threshold, haptic, audio, visual, and/or other feedback or alerts may be used to draw a user's attention and thus interrupt the stress episode.

Abstract: A computer readable medium having executable code that causes one or more processors to: obtain a digital roof model corresponding to a roof of a structure; determine facet edge elements for a 3D model of the structure based on the roof model, the facet edge elements representing roof facet edges of the roof; determine roof facet meshes for the 3D model based on the roof model, the roof facet meshes representing roof facets of the roof; and provide an interface enabling a user to view at least a portion of the 3D model, the at least a portion including the facet edge elements and/or the roof facet meshes, the interface enabling the user to manipulate the at least a portion of the 3D model to alter a view and/or alter characteristics of the at least a portion of the 3D model.

Abstract: Systems and methods for detection and/or intervention of stress episodes such as nightmares during sleep activity or flashbacks or anxiety attacks during waking or sleep activity. In some embodiments, sensors, such as gyroscopes, accelerometers, heart rate sensors, and/or other sensors, may be used for monitoring stress indicators indicative of a user's stress level. The sensed stress indicators may be used to calculate a stress level. If the stress level meets or exceeds a stress level threshold, haptic, audio, visual, and/or other feedback or alerts may be used to draw a user's attention and thus interrupt the stress episode.

Abstract: A computer-implemented method for identifying property changes by analyzing differences between old and new imagery. In one embodiment, an administrator begins by creating a project with links to old and new imagery and uploading a file with parcel boundaries. The application may then divide the project into smaller batches and then automatically classify each batch. Analysts may then review these batches and reject those that are insufficiently accurate. For rejected batches, analysts may manually classify the parcels. Analysts may then review these batches again. In one embodiment, once all batches are accepted, the project may be marked as complete and suitable reports may be generated and sent. These reports may include a customer report which may include overall project statistics, a breakdown of changes by type, a heatmap showing which areas are changing fastest, and/or an estimated tax impact of the identified changes.

Abstract: A computer-implemented method for identifying property changes by analyzing differences between old and new imagery. In one embodiment, an administrator begins by creating a project with links to old and new imagery and uploading a file with parcel boundaries. The application may then divide the project into smaller batches and then automatically classify each batch. Analysts may then review these batches and reject those that are insufficiently accurate. For rejected batches, analysts may manually classify the parcels. Analysts may then review these batches again. In one embodiment, once all batches are accepted, the project may be marked as complete and suitable reports may be generated and sent. These reports may include a customer report which may include overall project statistics, a breakdown of changes by type, a heatmap showing which areas are changing fastest, and/or an estimated tax impact of the identified changes.

Abstract: A computer-implemented method for generating roof reports. In one embodiment, a user begins by entering an address into an application and clicking a “request” button. A 3D model of the structure at the address is prepared. The application may then proceed with manual or automatic roof extraction. For manual roof extraction, an analyst may outline roof facets to create a roof model. For automatic roof extraction, the application may use machine learning or another technique to automatically extract and then simplify roof facets. In either case, the application may then present the roof model to a reviewer for inspection. The reviewer may then accept or reject the roof model. If the reviewer rejects the roof model, an analyst may correct the roof model and resuming it for review. Once the roof model passes a review, the application may then proceed with converting the roof model into a roof report.

Abstract: A computer-implemented method for identifying property changes by analyzing differences between old and new imagery. In one embodiment, an administrator begins by creating a project with links to old and new imagery and uploading a file with parcel boundaries. The application may then divide the project into smaller batches and then automatically classify each batch. Analysts may then review these batches and reject those that are insufficiently accurate. For rejected batches, analysts may manually classify the parcels. Analysts may then review these batches again. In one embodiment, once all batches are accepted, the project may be marked as complete and suitable reports may be generated and sent. These reports may include a customer report which may include overall project statistics, a breakdown of changes by type, a heatmap showing which areas are changing fastest, and/or an estimated tax impact of the identified changes.

Abstract: A computer-implemented method for generating roof reports. In one embodiment, a user begins by entering an address into an application and clicking a “request” button. A 3D model of the structure at the address is prepared. The application may then proceed with manual or automatic roof extraction. For manual roof extraction, an analyst may outline roof facets to create a roof model. For automatic roof extraction, the application may use machine learning or another technique to automatically extract and then simplify roof facets. In either case, the application may then present the roof model to a reviewer for inspection. The reviewer may then accept or reject the roof model. If the reviewer rejects the roof model, an analyst may correct the roof model and resuming it for review. Once the roof model passes a review, the application may then proceed with converting the roof model into a roof report.

Abstract: A computer-implemented method for indicating positions of and directions to battlefield entities in a soldier's head-mounted display using annotated arrows which indicate units both in and out of the soldier's field of view. The method includes a Unit Identifier (100) for associating units in aerial imagery with soldiers on the battlefield, a Commander Presenter (102) for presenting the aerial imagery and unit positions to a commander, a Unit Annotator (104) for enabling commanders to identify unknown units, and a Soldier Presenter (106) for identifying and labeling units that appear in a soldier's head-mounted display.

Abstract: A computer-implemented method for generating and presenting off-road travel routes based on terrain and obstruction analysis. The method includes a Threat Analyzer (100) for assessing threats that may impede progress, a Graph Builder (102) for constructing a graph representing an individual's environment, a Route Generator (104) for generating a route that avoids the threats, and a Route Presenter (106) for guiding the individual along the route. The Threat Analyzer (100) includes an Obstruction Analyzer (202) for detecting obstructions in aerial imagery. The Graph Builder (102) includes a Cost Evaluator (712) that takes into account traversal speeds for individuals across various types of terrain. The Route Presenter (106) overlays the route on aerial imagery and provides real-time guidance as the individual traverses the route.