A personal style database building apparatus and method in which communicate a plurality of clothing processing appliances, and a server with each other in a 5G communication environment by executing a loaded artificial intelligence (AI) algorithm and/or a machine learning algorithm. The personal style database building method according to an exemplary embodiment of the present disclosure includes analyzing first and second clothing image information collected from a first and a second clothing processing appliance to be built the first and the second clothing image information as first and second clothing record information in a database, comparing the first and the second clothing record information, and building merged record information in which the first and the second clothing record information in the database when a similarity between the first and the second clothing record information is equal to or higher than a predetermined reference value as a comparison result.

A data collection system collects data of a monitoring target. The data collection system includes a transmission-side apparatus and a reception-side apparatus. The transmission-side apparatus includes an acquisition unit that acquires the data from the monitoring target, and a transmission unit that transmits the data if the data has changed. The reception-side apparatus includes a reception unit that receives the data from the transmission-side apparatus, and a determination unit that determines whether a data loss is present.

Embodiments include systems and methods comprising a gateway located at a premise forming at least one network on the premise that includes a plurality of premise devices. A sensor user interface (SUI) is coupled to the gateway and presented to a user via a remote device. The SUI includes at least one display element. The at least one display element includes a floor plan display that represents at least one floor of the premise. The floor plan display visually and separately indicates a location and a current state of each premise device of the plurality of premise devices.

Provided is an artificial intelligence (AI) apparatus for managing an operation of an artificial intelligence (AI) system. The AI apparatus includes: a communication unit that receives state information from at least one member AI apparatus included in the AI system, respectively; a memory that stores apparatus information on the at least one member AI apparatus, respectively; and a processor that: upon acquiring a control command of a user, determines a target member AI apparatus to perform the control command; determines whether the target member AI apparatus is capable of performing the control command or not; transmits the control command to the target member AI apparatus if the target member AI apparatus is capable of performing the control command, and outputs a response indicating that the target member AI apparatus is not capable of performing the control command if the target member AI apparatus is not capable of performing the control command.

Doorbells often include a button to enable visitors to ring a chime to summon building occupants. In some embodiments, doorbells include a camera to take pictures of visitors. In several embodiments, doorbells include covers that are light filters. These light filters can cover infrared light sources such as infrared light emitting diodes. The light filters can pass infrared light while blocking visible light. In several embodiments, a front portion of a camera assembly fits through a hole in a light filter. Light filters can help secure camera assemblies and can form a portion of a doorbell's outer housing.

Doorbell systems can include a doorbell and a remote communication device. In some embodiments, the remote communication device can be communicatively coupled to a wireless network of a building, to the doorbell, and to a remote computing device. In several embodiments, the remote communication device facilitates communication with at least one of the doorbell, the remote computing device, and a remote sensor.

Systems and methods are disclosed for communicating with and controlling load control systems of respective user environments from locations that are remote from the user environments.

Methods and systems for homeowner-directed risk mitigation for damage to a property associated with insurance-related events are provided. A smart home controller may analyze data received from a plurality of smart devices disposed on, or proximate to, a property as well as data received from an insurance provider. If it is determined that an actual or potential risk of property damage exists, the smart home controller may transmit an alert to a homeowner detailing the risk. The homeowner may respond to the alert by transmitting an instruction to mitigate or prevent damage associated with the risk back to the smart home controller. Subsequently, the smart home controller may transmit information about the actual or potential risks and any homeowner-directed mitigative actions to an insurance provider. The insurance provider may interpret the transmitted data and perform insurance activities, such as providing discounts and adjusting an insurance policy associated with the property.

In one implementation, a method for detecting a configuration of wireless sensors within a vicinity includes a method of assessing wireless sensors in the vicinity of an application computing system. The application computing system is operated in a listen mode to receive and record wireless transmissions produced by one or more wireless sensors producing wireless transmissions in the vicinity of the application computing system. The recorded wireless transmissions are evaluated using a rule set that embodies normal operating characteristics of various types of wireless sensors in an operating environment to generate a conclusion regarding at least one attribute of at least one wireless sensor that produced the recorded wireless transmissions. The generated conclusion can be used so that the at least one wireless sensor is utilized in the application computing system.

Doorbell systems can include a doorbell and a chime. In some embodiments, the chime can be communicatively coupled to a wireless network of a building, to the doorbell, and to a remote computing device. In several embodiments, the chime facilitates communication with at least one of the doorbell, the remote computing device, and a remote sensor.