Systems and methods for installing, commissioning, testing, and maintaining a fire alarm control panel via a mobile device are provided. Some methods can include receiving a first signal from a fire alarm control panel device, the first signal containing identifying information of the fire alarm control panel device, transmitting a second signal containing the identifying information to a server device, receiving a third signal containing a second piece of information from the server device, and displaying the second piece of information on a user interface device, wherein the second piece of information includes information for installing, commissioning, testing, or maintaining the fire alarm control panel device.

Systems and methods for using multi-criteria state machines to manage alarming states and pre-alarming states of a hazard detection system are described herein. The multi-criteria state machines can include one or more sensor state machines that can control the alarming states and one or more system state machines that can control the pre-alarming states. Each state machine can transition among any one of its states based on sensor data values, hush events, and transition conditions. The transition conditions can define how a state machine transitions from one state to another. The hazard detection system can use a dual processor arrangement to execute the multi-criteria state machines according to various embodiments. The dual processor arrangement can enable the hazard detection system to manage the alarming and pre-alarming states in a manner that promotes minimal power usage while simultaneously promoting reliability in hazard detection and alarming functionality.

The present disclosure relates to system(s) and method(s) for alerting one or more service providers based on analysis of real-time sensor data. The system is configured to receive real-time sensor data and historical sensor data captured by one or more agent devices. Further, the system is configured to determine an anomaly corresponding to a target agent device from the one or more agent devices, based on comparison of the real-time sensor data and one or more predefined threshold parameters. The system is further configured to generate an alert corresponding to the anomaly and identify one or more service providers, affected by the anomaly, based on analysis of the historical sensor data and the anomaly. Further, the system is configured to transmit the alert to the one or more service providers, thereby alerting the one or more service providers.

Methods, systems, computer-readable media, and apparatuses for processing alarm signals are presented. In some embodiments, a mobile device may be registered with a security system that is installed at a premises. Subsequently, an alarm trigger associated with the security system may be received. Based on receiving the alarm trigger, the location of the mobile device may be determined. A response to the alarm trigger then may be determined based on the location of the mobile device.

Embodiments of a central security monitoring device for reducing incidences of false alarms in a security system is disclosed. In one embodiment, a method is described, comprising receiving an alarm signal from an occupancy sensor via a receiver, receiving a second alarm signal from a barrier alarm device after receiving the alarm signal, determining, by a processor, an elapsed time from when the alarm signal from the occupancy sensor was received to when the second alarm signal from the barrier alarm device was received, transmitting, by the processor via a network interface, a message to a personal communication device indicating that a false alarm has occurred when the elapsed time is less than the predetermined time.

A system for detecting and discriminating the severity of a fall includes a mobile device configured to communicate a network, a notification module, and a wearable device configured to communicate with the mobile device, the wearable device including a fall monitor and an activity log resident on the wearable device, where the fall monitor is configured to record detected movement on the activity log. The notification module is configured to effect a selectable setting of a rate of communication between the mobile device and the wearable device based on at least part of a predetermined pattern of a fall discriminator within the activity log, where the selectable setting defines a predetermined period of communication between the mobile device and the wearable device. The fall discriminator is configured to determine when the activity log includes a notable fall event based on the predetermined pattern.

Methods and systems for processing data associated with a premises management system are disclosed. The data may comprise alarm event data and non-alarm event data. The alarm event data and non-alarm event data may be processed to determine whether to send a notification.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to pre-surveil a portion of a property. In one aspect, a system may include a monitoring unit. The monitoring unit may include a network interface, a processor, and a storage device that includes instructions to cause the processor to perform operations. The operations may include obtaining data that is indicative of one or more acts of an occupant of the property, applying the obtained data that is indicative of one or more acts of the occupant of the property to a pre-surveillance rule, determining that the pre-surveillance rule is satisfied, determining a drone navigation path that is associated with the pre-surveillance rule, transmitting, to a drone, an instruction to perform pre-surveillance of the portion of the one or more properties using the drone navigation path.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to pre-surveil a portion of a property. In one aspect, a system may include a monitoring unit. The monitoring unit may include a network interface, a processor, and a storage device that includes instructions to cause the processor to perform operations. The operations may include obtaining data that is indicative of one or more acts of an occupant of the property, applying the obtained data that is indicative of one or more acts of the occupant of the property to a pre-surveillance rule, determining that the pre-surveillance rule is satisfied, determining a drone navigation path that is associated with the pre-surveillance rule, transmitting, to a drone, an instruction to perform pre-surveillance of the portion of the one or more properties using the drone navigation path.

The present invention provides an image processing apparatus (10) including: a companion determination unit (12) that determines a companion of each of a plurality of persons detected from an image, based on the image; a distance computation unit (13) that computes a first distance being a distance to the nearest person among the persons other than a companion, for the each person; and a risk information generation unit (14) that generates, with use of the first distance, infection risk information being information related to a risk of getting an infectious disease or a safety rate of not getting an infectious disease within a target region being a region included in the image.