Abstract: A multi-activity system may be configured to receive, upload, synchronize and process data for a variety of different activity types and/or recorded using multiple types of activity monitoring devices. In one example, an application interface may be defined with a multiple functions that are each useable by various types of devices and for processing multiple types of data. Additionally or alternatively, data for different activity types and/or recorded using different types of monitoring devices may be processed differently. Synchronization of data may further be handled on a device-by-device basis, device-type basis and/or activity-type basis using various tracking parameters.

Abstract: A method for enabling automated waste management is described. In one embodiment, data related to an event detected via a sensor coupled to a trash receptacle is received. A waste collection vehicle is configured to collect trash directly from the trash receptacle. The data related to the detected event is processed. A notification is generated based on the processing of the data. In some cases, a notification based on a determination of a volume of trash within the trash receptacle is generated, where the volume is determined via a ranging sensor. A notification is generated based on a determination of a weight of the trash within the trash receptacle, where the weight is determined via a load sensor.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include detecting a first sound event at a home entry point using one or more sensors. The method may further include receiving input to associate at least one home automation system operation with the first sound event, and may further include storing the first sound event. The method may further include initiating the at least one home automation system operation associated with the first sound event.

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 security and/or automation systems is described. In one embodiment, the method may include receiving a plurality of video footage at a home automation system from at least one video monitor. The method may further include reviewing the plurality of video footage recorded over a predetermined period of time. The method may further include automatically identifying at least one distinguishing feature in the video footage over the predetermined period of time, and automatically indexing the video footage based, at least in part, on identifying the at least one distinguishing feature in the video footage.

Abstract: A computer-implemented method for remote presence security is described. In one embodiment, an event is detected in relation to a premises. Upon detecting the event, a location of an occupant of the premises is determined in relation to the premises. Upon determining the occupant is a predetermined distance away from the premises, a first type of notification is sent. The first type of notification includes a display of real-time video being captured at the premises.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include detecting a first sound event at a home entry point using one or more sensors. The method may further include receiving input to associate at least one home automation system operation with the first sound event, and may further include storing the first sound event. The method may further include initiating the at least one home automation system operation associated with the first sound event.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include receiving a plurality of video footage at a home automation system from at least one video monitor. The method may further include reviewing the plurality of video footage recorded over a predetermined period of time. The method may further include automatically identifying at least one distinguishing feature in the video footage over the predetermined period of time, and automatically indexing the video footage based, at least in part, on identifying the at least one distinguishing feature in the video footage.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include detecting a first sound event at a home entry point using one or more sensors. The method may further include receiving input to associate at least one home automation system operation with the first sound event, and may further include storing the first sound event. The method may further include initiating the at least one home automation system operation associated with the first sound event.

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 security and/or automation systems is described. In one embodiment, the method may include receiving occupancy data associated with a home. The method may further include automatically selectively broadcasting an audio stream to at least one of a plurality of speakers in the home based, at least in part, on the received occupancy data.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include detecting a first sound event at a home entry point using one or more sensors. The method may further include receiving input to associate at least one home automation system operation with the first sound event, and may further include storing the first sound event. The method may further include initiating the at least one home automation system operation associated with the first sound event.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include detecting a first sound event at a home entry point using one or more sensors. The method may further include receiving input to associate at least one home automation system operation with the first sound event, and may further include storing the first sound event. The method may further include initiating the at least one home automation system operation associated with the first sound event.

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 security and/or automation systems is described. In one embodiment, the method may include receiving occupancy data associated with a home. The method may further include automatically selectively broadcasting an audio stream to at least one of a plurality of speakers in the home based, at least in part, on the received occupancy data.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include receiving occupancy data associated with a home. The method may further include automatically selectively broadcasting an audio stream to at least one of a plurality of speakers in the home based, at least in part, on the received occupancy data.

Abstract: A multi-activity system may be configured to receive, upload, synchronize and process data for a variety of different activity types and/or recorded using multiple types of activity monitoring devices. In one example, an application interface may be defined with a multiple functions that are each useable by various types of devices and for processing multiple types of data. Additionally or alternatively, data for different activity types and/or recorded using different types of monitoring devices may be processed differently. Synchronization of data may further be handled on a device-by-device basis, device-type basis and/or activity-type basis using various tracking parameters.

Abstract: A computer-implemented method for remote presence security is described. In one embodiment, an event is detected in relation to a premises. Upon detecting the event, a location of an occupant of the premises is determined in relation to the premises. Upon determining the occupant is a predetermined distance away from the premises, a first type of notification is sent. The first type of notification includes a display of real-time video being captured at the premises.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include receiving a plurality of video footage at a home automation system from at least one video monitor. The method may further include reviewing the plurality of video footage recorded over a predetermined period of time. The method may further include automatically identifying at least one distinguishing feature in the video footage over the predetermined period of time, and automatically indexing the video footage based, at least in part, on identifying the at least one distinguishing feature in the video footage.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include receiving input regarding at least one home automation system operation profile. The method may further include receiving monitored sleep data of at least one user of a home automation system associated with the at least one home automation system operation profile. The method may further include comparing the received monitored sleep data with the received input regarding the at least one home automation system operation profile, and may include implementing the at least one home automation system operation profile based, at least in part, on the comparing.