The disclosure includes a method for using a doorbell system to detect a presence of a visitor. The doorbell system can comprise a doorbell having a speaker, a microphone, a camera, and a button. The method can include detecting, by the doorbell system, the presence of the visitor while the visitor is located outside a building to which the doorbell is attached. The building can include a door having a lock that is configured to fasten the door to inhibit unauthorized entry into the building. In response to detecting the presence of the visitor, the method can include the step of actuating, by the doorbell system, a first appliance associated with the building.

The disclosure includes a method for using a doorbell system to detect a presence of a visitor. The doorbell system can comprise a doorbell having a speaker, a microphone, a camera, and a button. The method can include detecting, by the doorbell system, the presence of the visitor while the visitor is located outside a building to which the doorbell is attached. The building can include a door having a lock that is configured to fasten the door to inhibit unauthorized entry into the building. In response to detecting the presence of the visitor, the method can include the step of actuating, by the doorbell system, a first appliance associated with the building.

Vehicles can employ onboard telematic monitoring devices to collect vehicle and operation data, such as for improved vehicle fleet management. Such telematic monitoring devices are dependent on power from a vehicle, such that data collection and communication can be interrupted if a telematic monitoring device is disconnected or has a poor connection. The present disclosure relates to battery devices, which provide power to telematic monitoring devices as needed in order to maintain data collection and communication, or other more limited functionality. The present disclosure also relates to systems including battery devices, and methods for operating battery devices. The present disclosure also relates to detecting temperature of batteries, as well as emergency input and messages for telematic monitoring systems.

In an apparatus including a personal monitoring device which includes a microphone, speaker, camera, memory or database, global positioning device, controller, and transmitter, the improvement including a wearable device configured to include at least one of more components of the personal monitoring device on, with, or within, the wearable device, and a smoke detector, the fire detector, or the carbon monoxide (CO) detector. The microphone, speaker, or camera is located on an exterior of the wearable device. The smoke detector, fire detector, or carbon monoxide (CO) detector, is located on an exterior of the wearable device. The smoke detector, fire detector, or carbon monoxide (CO) detector, detects a presence of smoke, a fire, or a presence of carbon monoxide, and the speaker emits an alarm, a siren blare, or an audible and verbal message. The transmitter transmits a message to a computer or communication device.

In an apparatus including a personal monitoring device which includes a microphone, speaker, camera, memory or database, global positioning device, controller, and transmitter, the improvement including a wearable device configured to include at least one of more components of the personal monitoring device on, with, or within, the wearable device, and a smoke detector, the fire detector, or the carbon monoxide (CO) detector. The microphone, speaker, or camera is located on an exterior of the wearable device. The smoke detector, fire detector, or carbon monoxide (CO) detector, is located on an exterior of the wearable device. The smoke detector, fire detector, or carbon monoxide (CO) detector, detects a presence of smoke, a fire, or a presence of carbon monoxide, and the speaker emits an alarm, a siren blare, or an audible and verbal message. The transmitter transmits a message to a computer or communication device.

A power outage detection system may include a device processor; and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving information indicative of the status of electrical power at a plurality of locations within a geographic region; determining the status of electrical power in the geographic region based on the status of electrical power at the plurality of locations; determining a boundary of an area in which electrical power is unavailable; and preparing a map that illustrates the boundary.

A power outage detection system may include a device processor; and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving information indicative of the status of electrical power at a plurality of locations within a geographic region; determining the status of electrical power in the geographic region based on the status of electrical power at the plurality of locations; determining a boundary of an area in which electrical power is unavailable; and preparing a map that illustrates the boundary.

Techniques for tracking and display of compliance with instructions provided by emergency call takers are provided. An artificial intelligence (AI) bot monitors a conversation between an emergency caller and an emergency call taker. The AI bot identifies at least one instruction issued by the emergency call taker to the emergency caller. The AI bot determines when execution of the at least one instruction has been confirmed.

Systems, methods, computer-readable media, and apparatuses for receiving requests for roadside assistance, generating user interfaces and using machine learning to generate roadside assistance instructions are provided. In some examples, a request for roadside assistance may be received. A user and one or more partners may be identified based on the request. In some examples, a profile associated with the user, partner or the like may be identified. A user interface may be generated based on the profile and may include features unique to the profile, partner, or the like. In some arrangements, the interface may include a first portion and a second portion. Selection of an option from the first portion may cause the system to identify data for display in the second portion and cause the data to be displayed in the second portion. Machine learning may be used to determine or identify one or more roadside assistance instructions and a roadside assistance instruction may be generated and executed.

An IA server (call control apparatus) 31 includes a plurality of execution units 311A to 311C that execute respective virtual machines of a plurality of disaster recovery stations corresponding one-to-one to a plurality of active stations including a call control server that performs call processing at normal times, the plurality of disaster recovery stations including a virtualized call control server that performs call processing when an active station is not operating, and a control unit 312 that controls an operation of the virtual machines of the plurality of disaster recovery stations. The control unit 312 activates, at normal times, the virtual machines of the plurality of disaster recovery stations corresponding one-to-one to the plurality of active stations inside of the one hardware apparatus, deactivates, when any active station of the plurality of active stations is not operating, a virtual machine of a disaster recovery station of the plurality of disaster recovery stations other than a virtual machine of a disaster recovery station of the plurality of disaster recovery stations corresponding to the active station not operating, and operates only the virtual machine of the disaster recovery station corresponding to the active station not operating. At normal times, each of the virtual machines of the plurality of disaster recovery stations repeatedly receives data related to call processing from a corresponding active station of the plurality of active stations at a predetermined timing.