Devices, systems, and methods for providing predictive analytics of fire systems are described herein. One fire system maintenance system, includes fire system detectors, a fire system control panel, and a gateway device positioned within the facility and in communication with at least one of the fire system control panel or fire system detectors, the gateway having instructions to: collect fire system device health data associated with one or more fire or smoke detector devices and to send this fire system device health data to a remote device; the remote device having instructions to: analyze the collected fire system device health data to predict if the data contains any anomalies or deviations from an expected behavior; and a fire system maintenance solution application that identifies a nearest scheduled maintenance visit and associates a service item with the scheduled maintenance visit.

Example implementations include a method, apparatus and computer-readable medium for person detection by a computer device, comprising receiving a plurality of video frames from a camera located in an environment, wherein the video frames include a depiction of a person in the environment. The implementations further include identifying attributes of the person from the video frames and comparing the attributes with attribute entries in a database of suspicious persons, wherein the database of suspicious persons includes attributes of a plurality of persons associated with an alert in the environment. The implementations include retrieving a profile indicative of an alert history of the suspicious person in response to determining a match between the attributes of the person and an entry in the database corresponding to a suspicious person, and transmitting, to a second computer device, the retrieved profile and a notification that indicates that the suspicious person is in the environment.

Example implementations include a method, apparatus and computer-readable medium for person detection by a computer device, comprising receiving a plurality of video frames from a camera located in an environment, wherein the video frames include a depiction of a person in the environment. The implementations further include identifying attributes of the person from the video frames and comparing the attributes with attribute entries in a database of suspicious persons, wherein the database of suspicious persons includes attributes of a plurality of persons associated with an alert in the environment. The implementations include retrieving a profile indicative of an alert history of the suspicious person in response to determining a match between the attributes of the person and an entry in the database corresponding to a suspicious person, and transmitting, to a second computer device, the retrieved profile and a notification that indicates that the suspicious person is in the environment.

The present technology generally relates to robotics. More specifically, the present technology relates to systems and methods for reducing false alarms by a mobile robotic device using data collected by sensors in the robotic device. An example of the technology may include receiving sensor data at one or more sensors; determining a first portion of the sensor data that matches one or more positive logic patterns of the set of positive logic patterns; determining a second portion of the sensor data that matches one or more negative logic patterns of the set of negative logic patterns; determining a third portion of sensor data that does not match any positive logic patterns of the set of positive logic patterns or negative logic patterns of the set of negative logic patterns; generating an alarm decision; receiving an input indicating that the alarm decision was incorrect; linking the alarm decision and the input to each other; and transmitting the linked alarm decision and input to the second pattern library based on the input.

The present technology generally relates to robotics. More specifically, the present technology relates to systems and methods for reducing false alarms by a mobile robotic device using data collected by sensors in the robotic device. An example of the technology may include receiving sensor data at one or more sensors; determining a first portion of the sensor data that matches one or more positive logic patterns of the set of positive logic patterns; determining a second portion of the sensor data that matches one or more negative logic patterns of the set of negative logic patterns; determining a third portion of sensor data that does not match any positive logic patterns of the set of positive logic patterns or negative logic patterns of the set of negative logic patterns; generating an alarm decision; receiving an input indicating that the alarm decision was incorrect; linking the alarm decision and the input to each other; and transmitting the linked alarm decision and input to the second pattern library based on the input.

A work order prediction system is described. The work order prediction system analyzes retrieved sensor signal activity records to compare counts of signal activity in defined signal groupings to corresponding predetermined thresholds of sensor signal activity and generates a report based on the comparison when sensor signal activity exceeds the determined threshold values. The predetermined thresholds of sensor signal are determined for each signal grouping by comparing corresponding groupings of service record activity against determined counts of historical sensor signal activity to establish threshold values for each of the groupings and produce a model based on the comparison of the historical sensor signal activity to service activity.

Systems and methods for monitoring health and wellbeing in an ongoing manner use radar chips to scan monitored regions such that data obtained by the scanning radar chip are processed to identify targets within the monitored region. Health indication and activity parameters are gathered via a wellbeing prediction engine assesses the targets using a machine learning model.

Methods and systems including computer programs encoded on a computer storage medium, for receiving, for a multi-tenant dwelling unit (MDU), a map of the MDU, where the map includes locations corresponding to multiple sensors at the MDU and defines multiple sub-areas of the MDU, receiving sensor data from one or more sensors of the plurality of sensors, where the sensor data is indicative of a fire event at the MDU, determining, from the sensor data, one or more sub-areas of the multiple sub-areas included in the fire event, generating, based on the sensor data, a targeted fire event response for the one or more sub-areas of the multiple sub-areas of the MDU, and providing, to the one or more sub-areas of the multiple sub-areas, the targeted fire event response.

There is provided networks, systems and displays for providing derived data and predictive information for use in emergencies; and in particular for use in wildfire emergencies. More particularly, there is provided systems, equipment and networks for the monitoring and collecting of raw data regarding fire emergencies, both real time and historic. In embodiments, this raw data is then analyzed to provide derived data, predictive data, virtual data, and combinations and variations of this data, which depending upon the nature of this data may be packaged, distributed, displayed and used in various setting and applications to mitigate, avoid and manage the emergency, including a wildfire emergency.

There is provided networks, systems and displays for providing derived data and predictive information for use in emergencies; and in particular for use in wildfire emergencies. More particularly, there is provided systems, equipment and networks for the monitoring and collecting of raw data regarding fire emergencies, both real time and historic. In embodiments, this raw data is then analyzed to provide derived data, predictive data, virtual data, and combinations and variations of this data, which depending upon the nature of this data may be packaged, distributed, displayed and used in various setting and applications to mitigate, avoid and manage the emergency, including a wildfire emergency.