In a bio-threat alert infrastructure system and method, an analyzing processor applies statistical algorithms to the collected quantitative data to precisely estimate event data, including time and position data, associated the development of a bio-threat. An encoding processor encodes the event data into a bio-threat alert signal. A transmitting element transmits the signal for reception by a bio-threat alert device. In the bio-threat alert device, and an associated method, a receiving element receives the signal. A decoding processor decodes the signal into the event data. A presentation element presents the event data to a user of the device.

In a bio-threat alert infrastructure system and method, an analyzing processor applies statistical algorithms to the collected quantitative data to precisely estimate event data, including time and position data, associated the development of a bio-threat. An encoding processor encodes the event data into a bio-threat alert signal. A transmitting element transmits the signal for reception by a bio-threat alert device. In the bio-threat alert device, and an associated method, a receiving element receives the signal. A decoding processor decodes the signal into the event data. A presentation element presents the event data to a user of the device.

An alert generation method and system. The method includes receiving by a computer processor, alert data indicating filters for specified alert types associated with possible future events. The computer processor receives monitor definition data and media generated audio/video data; compares the alert data to the media generated audio/video data; determines a first alert type matches first audio/video data of the media generated audio/video data; and determines that the first audio/video data comprises a primary event. The computer processor broadcasts the primary event.

An alert generation method and system. The method includes receiving by a computer processor, alert data indicating filters for specified alert types associated with possible future events. The computer processor receives monitor definition data and media generated audio/video data; compares the alert data to the media generated audio/video data; determines a first alert type matches first audio/video data of the media generated audio/video data; and determines that the first audio/video data comprises a primary event. The computer processor broadcasts the primary event.

In some examples, a system includes: a plurality of different articles of personal protection equipment (PPE) that are all controlled by a particular user, and a computing device. The computing device may include one or more computer processors configured to receive sets of data from each of the different articles of PPE, wherein each set of data is based at least in part on a type of each of the different articles of PPE; generate for display a user interface that contemporaneously includes a plurality of graphical elements that are based at least in part on at least two sets of data that correspond to at least two different articles of PPE of the plurality of different articles of PPE; and in response to receiving an indication of user input that corresponds to at least one of the plurality of graphical elements, perform at least one operation.

In some examples, a system includes: a plurality of different articles of personal protection equipment (PPE) that are all controlled by a particular user, and a computing device. The computing device may include one or more computer processors configured to receive sets of data from each of the different articles of PPE, wherein each set of data is based at least in part on a type of each of the different articles of PPE; generate for display a user interface that contemporaneously includes a plurality of graphical elements that are based at least in part on at least two sets of data that correspond to at least two different articles of PPE of the plurality of different articles of PPE; and in response to receiving an indication of user input that corresponds to at least one of the plurality of graphical elements, perform at least one operation.

A device and method for analyzing an event at a premises is provided. In one embodiment the device includes a processor and a memory configured to store executable instructions, which when executed by the processor, cause the processor to receive first event data related to the event at the premises, receive verification data related to the event at the premises, analyze the first event data in conjunction with the verification data, generate, based on the analysis, an indication of a probability that the event is an alarm event, and initiate at least one action based on the indication.

An observation system includes: a power supply unit having a battery; a sensor unit which detects a state of a structure on the basis of electricity from the power supply unit; a charging unit which charges the battery from renewable energy; and a processing unit which processes sensing information in one observation mode of a plurality of observation modes including at least a first observation mode and a second observation mode in which at least one of a sensor capability of the sensor unit and a load of computational processing using the sensing information is higher than in the first observation mode. The processing unit sets an observation mode on the basis of information for disaster occurrence estimation.

An observation system includes: a power supply unit having a battery; a sensor unit which detects a state of a structure on the basis of electricity from the power supply unit; a charging unit which charges the battery from renewable energy; and a processing unit which processes sensing information in one observation mode of a plurality of observation modes including at least a first observation mode and a second observation mode in which at least one of a sensor capability of the sensor unit and a load of computational processing using the sensing information is higher than in the first observation mode. The processing unit sets an observation mode on the basis of information for disaster occurrence estimation.

A system includes plural sensor devices installed at a premises and a server computer coupled to a network and in communication with a gateway, which receives a risk profile for a physical premises, collect sensor information from the plural sensor devices and receives data feeds relevant to a location of the physical premises and execute one or more learning models to continually analyze the collected sensor information and data feeds to produce operational decisions based on the sensor information and data feeds to predict changes to risk profiles based on the continual analysis of sensor information and which determines responses to new risk profiles that are produced. The system also includes an engine for monitoring the sensor devices to recognize occurrences of events, and ask, through an interface to a human for additional information to confirm an occurrence of one or more of the events.