Abstract: Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.

Abstract: A method can include generating a plurality of synthetic objects and associated labels using a trained first machine learning system that is trained to generate a synthetic object based at least in part on a feature of a labeled object, an assigned label that represents the feature, and stochastic variation input; training a second machine learning model to predict labels for features of objects based at least in part on the plurality of synthetic objects and associated labels; and predicting a label for an unlabeled feature of an object using the second machine learning model.

Abstract: A method can include receiving raster images of logs, where the logs include plots, tracks and headers and where, compared to the plots and the tracks, the headers are underrepresented; processing the raster images using a trained machine learning model to generate segmentation masks for the logs for identification of the plots, the tracks and the headers; and generating digitized versions of the logs using the segmentation masks, where each of the digitized versions of the logs includes a digitized plot with an associated digitized header and an associated digitized track.

Abstract: A method for digitizing image-based data includes receiving an image file including one or more target objects, generating an intermediate image by removing noise from the image file using a denoising machine learning model, identifying the one or more target objects included in the intermediate image using an object segmentation machine learning model, discretizing the one or more target objects that were identified using the trained object segmentation machine learning model, and storing the one or more target objects that were discretized in a data file, visualizing the one or more target objects, or both.

Abstract: Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.

Abstract: Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.

Abstract: Devices, methods, and systems for voice control of components of a facility are described herein. One computing device apparatus includes a memory, and a processor configured to execute executable instructions stored in the memory to receive a voice command or voice query from a user, determine location context information associated with the computing device, and determine which component or components of the facility are associated with the voice command or voice query based, at least in part, on the location context information associated with the computing device.

Abstract: Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Abstract: Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.

Abstract: Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Abstract: Systems and methods for using artificial intelligence models to identify a current threat scenario are provided that train the artificial intelligence models to infer or recognize different threat scenarios using values from a plurality of sensors, including historical data from the plurality of sensors during known threat scenarios. In some embodiments, systems and methods can use current ones of the values from the plurality of sensors to aggregate a respective output from each one of a set of the plurality of artificial intelligence models to identify the current threat scenario present in an area monitored by the plurality of sensors and execute an action corresponding to the current threat scenario.

Abstract: Systems and methods for upgrading legacy surveillance systems to employ artificial intelligence based monitoring are provided. Such systems and methods can include a network interface device of a network connected device that can receive a primary data stream from a legacy surveillance system, a first processor of the network connected device that can receive user input identifying a type of the legacy surveillance system and process the primary data stream based on the type of the legacy surveillance system, and an artificial intelligence processor of the network connected device that can monitor the primary data stream as processed by the first processor to determine whether a current state of the secured area corresponds to a trigger condition and, when the current state of the secured area corresponds to the trigger condition, initiate a standard workflow for the type of the legacy surveillance system.

Abstract: Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Abstract: Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Abstract: Devices, methods, and systems for voice control of components of a facility are described herein. One computing device apparatus includes a memory, and a processor configured to execute executable instructions stored in the memory to receive a voice command or voice query from a user, determine location context information associated with the computing device, and determine which component or components of the facility are associated with the voice command or voice query based, at least in part, on the location context information associated with the computing device.

Abstract: Devices, methods, and systems for voice control of components of a facility are described herein. One computing device apparatus includes a memory, and a processor configured to execute executable instructions stored in the memory to receive a voice command or voice query from a user, determine location context information associated with the computing device, and determine which component or components of the facility are associated with the voice command or voice query based, at least in part, on the location context information associated with the computing device.

Abstract: Devices, methods, and systems for voice control of components of a facility are described herein. One computing device apparatus includes a memory, and a processor configured to execute executable instructions stored in the memory to receive a voice command or voice query from a user, determine location context information associated with the computing device, and determine which component or components of the facility are associated with the voice command or voice query based, at least in part, on the location context information associated with the computing device.