A system and methods are provided for community outdoor fire protection comprising: receiving indicators of a current fire, and responsively determining a level of the current fire risk for each of multiple endpoints of a shared water supply; determining a relative duty cycle for operating each endpoint according to a fire risk; receiving a water pressure measurement of the shared water source and determining a maximum number of concurrent endpoints to operate; accordingly allocating operation of each endpoint to a set of time slots; and activating the multiple endpoints to turn on respective water flows according to the time slot allocation.

A system and methods are provided for community outdoor fire protection comprising: receiving indicators of a current fire, and responsively determining a level of the current fire risk for each of multiple endpoints of a shared water supply; determining a relative duty cycle for operating each endpoint according to a fire risk; receiving a water pressure measurement of the shared water source and determining a maximum number of concurrent endpoints to operate; accordingly allocating operation of each endpoint to a set of time slots; and activating the multiple endpoints to turn on respective water flows according to the time slot allocation.

One aspect of the apparatus comprising, a sensor configured to acquire a biological signal of a user, and a controller configured to, determine whether the biological signal is continuously outside a predetermined range for a first time period, after determining that the biological signal has been continuously outside the predetermined range for the first time period, then determine whether the biological signal is inside the predetermined range, and activate an alarm if the controller has determined that (i) the biological signal has been outside the predetermined range for the first time period, and (ii) the biological signal has been continuously inside the predetermined range for a second time period, the second time period being longer than the first time period.

One aspect of the apparatus comprising, a sensor configured to acquire a biological signal of a user, and a controller configured to, determine whether the biological signal is continuously outside a predetermined range for a first time period, after determining that the biological signal has been continuously outside the predetermined range for the first time period, then determine whether the biological signal is inside the predetermined range, and activate an alarm if the controller has determined that (i) the biological signal has been outside the predetermined range for the first time period, and (ii) the biological signal has been continuously inside the predetermined range for a second time period, the second time period being longer than the first time period.

A medical apparatus, method, or storage medium to perform monitoring a sensor of the medical apparatus to obtain a sensor reading, performing impact detection based on the sensor reading, generating an impact profile based on the impact detection, characterizing the impact detection, and responding to the impact detection.

A medical apparatus, method, or storage medium to perform monitoring a sensor of the medical apparatus to obtain a sensor reading, performing impact detection based on the sensor reading, generating an impact profile based on the impact detection, characterizing the impact detection, and responding to the impact detection.

A system and method for intelligently evaluating and automatically mitigating detected security activities includes implementing an on-premise security device that detects a potential security activity at a property of a subscriber; establishing a security channel between the on-premise security device and a remote machine learning-based security module operating in a cloud computing environment if the potential security activity satisfies escalation criteria; automatically transmitting, via the security channel, sensor data from the on-premise security device to the remote machine learning-based security module; computing, by the remote machine learning-based security module, a threat severity inference based on the sensor data; deriving device control instructions based on the threat severity inference; transmitting, via the security channel, the device control instructions to the on-premise security device; and mitigating the potential security activity by executing the device control instructions at the on-premise device.

A system and method for intelligently evaluating and automatically mitigating detected security activities includes implementing an on-premise security device that detects a potential security activity at a property of a subscriber; establishing a security channel between the on-premise security device and a remote machine learning-based security module operating in a cloud computing environment if the potential security activity satisfies escalation criteria; automatically transmitting, via the security channel, sensor data from the on-premise security device to the remote machine learning-based security module; computing, by the remote machine learning-based security module, a threat severity inference based on the sensor data; deriving device control instructions based on the threat severity inference; transmitting, via the security channel, the device control instructions to the on-premise security device; and mitigating the potential security activity by executing the device control instructions at the on-premise device.

Described herein are systems and methods for generating a watch list of users who pose specific security threats to a store. The method can include retrieving, by a computer system from a data store, case files that document activity that poses a security threat by a user at the store, predicting, based on applying prediction models to the case files, future activity associated with the case files, determining threat scores for the case files based on the predicted future activity, ranking the case files into a candidate list from highest to lowest threat score, generating a watch list for the store that includes a subset of the ranked case files based on which case files pose a greatest current threat to the store, generating summary videos for each case file in the watch list, and transmitting the watch list and summary videos to a user device.

The invention relates to a luminaire network comprising a plurality of luminaires as well as a central unit, and comprising a central communication unit. A plurality of luminaires in the network comprises a communication unit configured to make it possible for the luminaires to communicate with each other and/or with the central communication unit, as well as a control unit configured to control the luminaire as well as the communication unit. The central unit comprises information about the location of the luminaires. A plurality of the luminaires in the luminaire network further comprise at least one sensor which can sense information relating to the environment of the luminaire, wherein the communication unit of said luminaires is configured to send messages relating to the sensed information to the central communication unit, and the central unit is configured to analyze the received messages and to output the results of the analysis.