A building management system includes one or more computer-readable storage media having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive threat events from one or more data sources, each threat event including a description and for each threat event determine whether the description for the threat event corresponds to one of a multiple predefined threat categories, generate a standardized threat object for the threat event using the corresponding predefined threat category, and in response to determining the description does not correspond to one of the predefined threat categories, process the description using a natural language processing engine to identify one of the predefined threat categories to be assigned to the threat event and generate a standardized threat object for the threat event using the predefined threat category identified by the natural language processing engine.

A building management system includes one or more computer-readable storage media having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive threat events from one or more data sources, each threat event including a description and for each threat event determine whether the description for the threat event corresponds to one of a multiple predefined threat categories, generate a standardized threat object for the threat event using the corresponding predefined threat category, and in response to determining the description does not correspond to one of the predefined threat categories, process the description using a natural language processing engine to identify one of the predefined threat categories to be assigned to the threat event and generate a standardized threat object for the threat event using the predefined threat category identified by the natural language processing engine.

A digital video alarm human monitoring computer system includes a digital video analytics server including a digital video analytics computer. The digital video analytics computer has non-transitory memory configured to store machine instructions that are to be executed by the digital video analytics computer. The machine instructions when executed by the computer implement the following functions: receiving a digital video alarm monitoring parameter including a human characteristics tag; receiving analytics data in response to digital video data from a transmitting network camera; determining a digital video alarm monitoring status (e.g., an active status or an inactive status) in response to the human monitoring parameter and the analytics data; and transmitting or analyzing the digital video in response to the digital video alarm monitoring status being the active status.

According to one embodiment, a method executed by an electronic apparatus including storage configured to store device information including first position information indicating a position of a device installed in a particular range and risk information associated with use of the device is provided. The method includes receiving second position information indicating a position of a user wearing an eyeglasses-type wearable terminal and working within the particular range, from the eyeglasses-type wearable terminal and estimating a status of the user, based at least in part on the first position information and the risk information included in the device information, and the second position information.

According to one embodiment, a method executed by an electronic apparatus including storage configured to store device information including first position information indicating a position of a device installed in a particular range and risk information associated with use of the device is provided. The method includes receiving second position information indicating a position of a user wearing an eyeglasses-type wearable terminal and working within the particular range, from the eyeglasses-type wearable terminal and estimating a status of the user, based at least in part on the first position information and the risk information included in the device information, and the second position information.

Described herein are systems, devices, methods, and media for connecting a user for providing emergency assistance based on emergency alerts from triggering devices such as voice or sound triggered emergency alerts. In some cases, the location of the emergency is provided.

A battery powered do-it-yourself (DIY) security and safety monitor that is removably mounted by a self-centering magnet mount onto a ferromagnetic wall plate. The monitor has numerous sensors that report anomalies to the owner's smart device or a pay-for-use monitoring service through cellular communication. There is a smart hub incorporated directly to the various sensors or to the sensors through the main system microprocessor to allow communication and control of the various sensors and modules (if applicable) via the owner's smart device. The monitor may be hard wired into the premises if required by code, or it may be battery powered by long lasting Lithium batteries.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automating bulk location-based actions in response to disaster events. A system obtains data defining zones related to different geographic locations and configures a set of preferences for each zone. One of the preferences is a command for responding to an event. The system detects a disaster event and determines that a location affected by the event is related to a zone defined at the system. The system obtains sensor data generated by a sensor in the zone that is connected to a monitoring system for the zone. The system generates an alert based on the sensor data and the command and provides the alert to a client device of an entity that manages properties in the zone. The alert provides an assessment of how the disaster event affects items at properties in the zone.

A server associated with a building automation emergency response system, receives indications of a detected emergency from sensors distributed among zones in the building, comprising a sensor reading level and a sensor identity. The server determines a zone danger level, based on the sensor identity and on the sensor reading levels. The server calculates an evacuation route commencing from user interfaces distributed among the zones. The user interfaces include a display device. The evacuation route is calculated to traverse the zones with a lower route danger level. The evacuation route is directed toward a safe exit, based on a floor plan. The server then transmits a depiction of the evacuation route to the user interfaces for display. The server continues receiving updated indications from the sensors, determines updated route danger levels, calculates an updated evacuation route, and transmits an updated depiction of the evacuation route to the user interfaces for display.

A server associated with a building automation emergency response system, receives indications of a detected emergency from sensors distributed among zones in the building, comprising a sensor reading level and a sensor identity. The server determines a zone danger level, based on the sensor identity and on the sensor reading levels. The server calculates an evacuation route commencing from user interfaces distributed among the zones. The user interfaces include a display device. The evacuation route is calculated to traverse the zones with a lower route danger level. The evacuation route is directed toward a safe exit, based on a floor plan. The server then transmits a depiction of the evacuation route to the user interfaces for display. The server continues receiving updated indications from the sensors, determines updated route danger levels, calculates an updated evacuation route, and transmits an updated depiction of the evacuation route to the user interfaces for display.