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US 10,482,751 B1Granted
Occupancy detection by social media
AssigneeVivint, Inc.
InventorsAaron Davis, Brandon Bunker, Rongbin Lanny Lin, Shiwei Liu
Life of this patent
Estimating the term…
Abstract
A method for security and/or automation systems is described. In one embodiment, the method includes receiving social media data via a signal, analyzing the social media data based at least in part on a first parameter, identifying occupancy information based at least in part on the analyzing, and assessing a structure occupancy based at least in part on the identifying.
Claims20
A method for security and/or automation systems, comprising:
- monitoring a social media account of an occupant of a premises;
- identifying location information based at least in part on a post associated with the social media account;
- analyzing the identified location information in relation to occupancy detection data from one or more sensors associated with the premises, wherein analyzing the identified location information comprises assigning a first weighted score to the identified location information and a second weighted score to the occupancy detection data from the one or more sensors;
- assessing a probability of occupancy based at least in part on analyzing the identified location information;
- determining a future probability of occupancy of the premises within a predetermined time range based at least in part on analyzing the identified location information;
- and
- updating an occupancy status of the premises and an anticipated occupancy status of the premises based at least in part on analyzing the identified location information and determining the future probability of occupancy of the premises.
4 more elements
An apparatus for security and/or automation systems, comprising:
- a processor;
- memory in electronic communication with the processor;
- and
- instructions stored in the memory, the instructions being executable by the processor to:
- monitor a social media account of an occupant of a premises;
- identify location information based at least in part on a post associated with the social media account;
- analyze the identified location information in relation to occupancy detection data from one or more sensors associated with the premises, wherein analyzing the identified location information comprises assigning a first weighted score to the identified location information and a second weighted score to the occupancy detection data from the one or more sensors;
- assess a probability of occupancy based at least in part on analyzing the identified location information;
- determine a future probability of occupancy of the premises within a predetermined time range based at least in part on analyzing the identified location information;
- and
- update an occupancy status of the premises and an anticipated occupancy status of the premises based at least in part on analyzing the identified location information and determining the future probability of occupancy of the premises.
8 more elements
A non-transitory computer-readable medium storing computer-executable code for security and/or automation systems, the code executable by a processor to:
- monitor a social media account of an occupant of a premises;
- identify location information based at least in part on a post associated with the social media account;
- analyze the identified location information in relation to occupancy detection data from one or more sensors associated with the premises, wherein analyzing the identified location information comprises assigning a first weighted score to the identified location information and a second weighted score to the occupancy detection data from the one or more sensors;
- assess a probability of occupancy based at least in part on analyzing the identified location information;
- determine a future probability of occupancy of the premises within a predetermined time range based at least in part on analyzing the identified location information;
- and
- update an occupancy status of the premises and an anticipated occupancy status of the premises based at least in part on analyzing the identified location information and determining the future probability of occupancy of the premises.
4 more elements
Dependencies are inferred from the claim text.