Abstract: A computer-implemented method for progressive profiling in a home automation system is described. Data related to a premises and an occupant of the premises may be analyzed and one or more observations may be made based on the analysis of the data. Upon detecting one or more conditions associated with the one or more observations made, an offer to perform one or more actions may be communicated to the occupant.

Abstract: Systems and methods are described for personifying communications. According to at least one embodiment, the computer-implemented method for personifying a natural-language communication includes observing a linguistic pattern of a user. The method may also include analyzing the linguistic pattern of the user and adapting the natural-language communication based at least in part on the analyzed linguistic pattern of the user. In some embodiments, observing the linguistic pattern of the user may include receiving data indicative of the linguistic pattern of the user. The data may be one of verbal data or written data. Written data may include at least one of a text message, email, social media post, or computer-readable note. Verbal data may include at least one of a recorded telephone conversation, voice command, or voice message.

Abstract: Methods and systems are described for managing and adding user profiles to access an automation system. According to at least one embodiment, the computer-implemented method includes receiving a request to add a user to an automation system. The request is generated from one of a mobile computing device or an automation controller of the automation system. The method further includes receiving contact information for the user and generating a message to send to the user. The message includes an invitation to the automation system. The method also includes sending the message to the user.

Abstract: A method for improving privacy of security cameras is described. In one embodiment, predetermined events are monitored via a security camera. The security camera may include an optical barrier. At least one of the predetermined events is detected via the security camera. Based on detecting at least one of the predetermined events, the optical barrier is repositioned, via the security camera, in relation to a camera lens of the security camera.

Abstract: A computer-implemented method for progressive profiling in a home automation system is described. Data related to a premises and an occupant of the premises may be analyzed and one or more observations may be made based on the analysis of the data. Upon detecting one or more conditions associated with the one or more observations made, an offer to perform one or more actions may be communicated to the occupant.

Abstract: A computer-implemented method for progressive profiling in a home automation system is described. Data related to a premises and an occupant of the premises may be analyzed and one or more observations may be made based on the analysis of the data. Upon detecting one or more conditions associated with the one or more observations made, an offer to perform one or more actions may be communicated to the occupant.

Abstract: Methods and systems are described for controlling settings of an automation system, such as a home and/or business automation system. According to at least one embodiment, an apparatus for controlling settings of an automation system includes a processor, a memory in electronic communication with the processor, and instructions stored in the memory which are executable by a processor to receive instructions from a user of a home automation system about an intended action by the user, continuously detect behavior of the user with the home automation system, determine whether the intended action has occurred based on the detected behavior, and adaptively update one or more settings of the home automation system when the intended action is determined to have occurred.

Abstract: Methods and systems are described for managing and adding user profiles to access an automation system. According to at least one embodiment, the computer-implemented method includes receiving a request to add a user to an automation system. The request is generated from one of a mobile computing device or an automation controller of the automation system. The method further includes receiving contact information for the user and generating a message to send to the user. The message includes an invitation to the automation system. The method also includes sending the message to the user.

Abstract: Methods and systems are described for controlling settings of an automation system, such as a home and/or business automation system. According to at least one embodiment, an apparatus for controlling settings of an automation system includes a processor, a memory in electronic communication with the processor, and instructions stored in the memory which are executable by a processor to receive instructions about an intended action by a user of the home automation system, continuously detect behavior of the user with the home automation system, determine whether the intended action has occurred based on the detected behavior, and adaptively update one or more settings of the home automation system when the intended action is determined to have occurred.

Abstract: A method for improving privacy of security cameras is described. In one embodiment, predetermined events are monitored via a security camera. The security camera may include an optical barrier. At least one of the predetermined events is detected via the security camera. Based on detecting at least one of the predetermined events, the optical barrier is repositioned, via the security camera, in relation to a camera lens of the security camera.

Abstract: Systems and methods are described for personifying communications. According to at least one embodiment, the computer-implemented method for personifying a natural-language communication includes observing a linguistic pattern of a user. The method may also include analyzing the linguistic pattern of the user and adapting the natural-language communication based at least in part on the analyzed linguistic pattern of the user. In some embodiments, observing the linguistic pattern of the user may include receiving data indicative of the linguistic pattern of the user. The data may be one of verbal data or written data. Written data may include at least one of a text message, email, social media post, or computer-readable note. Verbal data may include at least one of a recorded telephone conversation, voice command, or voice message.

Abstract: Systems and methods are described for personifying communications. According to at least one embodiment, the computer-implemented method for personifying a natural-language communication includes observing a linguistic pattern of a user. The method may also include analyzing the linguistic pattern of the user and adapting the natural-language communication based at least in part on the analyzed linguistic pattern of the user. In some embodiments, observing the linguistic pattern of the user may include receiving data indicative of the linguistic pattern of the user. The data may be one of verbal data or written data. Written data may include at least one of a text message, email, social media post, or computer-readable note. Verbal data may include at least one of a recorded telephone conversation, voice command, or voice message.

Abstract: Systems and methods are described for personifying communications. According to at least one embodiment, the computer-implemented method for personifying a natural-language communication includes observing a linguistic pattern of a user. The method may also include analyzing the linguistic pattern of the user and adapting the natural-language communication based at least in part on the analyzed linguistic pattern of the user. In some embodiments, observing the linguistic pattern of the user may include receiving data indicative of the linguistic pattern of the user. The data may be one of verbal data or written data. Written data may include at least one of a text message, email, social media post, or computer-readable note. Verbal data may include at least one of a recorded telephone conversation, voice command, or voice message.

Abstract: A method for improving privacy of security cameras is described. In one embodiment, predetermined events are monitored via a security camera. The security camera may include an optical barrier. At least one of the predetermined events is detected via the security camera. Based on detecting at least one of the predetermined events, the optical barrier is repositioned, via the security camera, in relation to a camera lens of the security camera.

Abstract: Methods and systems are described for controlling settings of an automation system, such as a home and/or business automation system. According to at least one embodiment, an apparatus for controlling settings of an automation system includes a processor, a memory in electronic communication with the processor, and instructions stored in the memory which are executable by a processor to receive instructions from a user of a home automation system about an intended action by the user, continuously detect behavior of the user with the home automation system, determine whether the intended action has occurred based on the detected behavior, and adaptively update one or more settings of the home automation system when the intended action is determined to have occurred.

Abstract: A computer-implemented method for progressive profiling in a home automation system is described. Data related to a premises and an occupant of the premises may be analyzed and one or more observations may be made based on the analysis of the data. Upon detecting one or more conditions associated with the one or more observations made, an offer to perform one or more actions may be communicated to the occupant.

Abstract: Methods and systems are described for managing and adding user profiles to access an automation system. According to at least one embodiment, the computer-implemented method includes receiving a request to add a user to an automation system. The request is generated from one of a mobile computing device or an automation controller of the automation system. The method further includes receiving contact information for the user and generating a message to send to the user. The message includes an invitation to the automation system. The method also includes sending the message to the user.

Abstract: Systems and methods are described for personifying communications. According to at least one embodiment, the computer-implemented method for personifying a natural-language communication includes observing a linguistic pattern of a user. The method may also include analyzing the linguistic pattern of the user and adapting the natural-language communication based at least in part on the analyzed linguistic pattern of the user. In some embodiments, observing the linguistic pattern of the user may include receiving data indicative of the linguistic pattern of the user. The data may be one of verbal data or written data. Written data may include at least one of a text message, email, social media post, or computer-readable note. Verbal data may include at least one of a recorded telephone conversation, voice command, or voice message.