# US 2024/0201645 A1 · Smart-home automation system that suggests or automatically implements selected household policies based on sensed observations > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2024/0201645 A1 - Document ID: US20240201645A1 - Status: Published application - Kind: A1 - Application number: 18/592,035 - Filed: 2024-02-29 - Published: 2024-06-20 - Earliest claimed: 2015-03-05 - Assignees: Google Inc. - Applicants: Google LLC - Inventors: Anthony M. Fadell; Yoky Matsuoka; David Sloo; Maxime Veron - Web page: https://patentgrep.com/patent/US20240201645A1 ## CPC - G05B 15/02: electric - H04L 12/2823: {Reporting information sensed by appliance or service execution status of appliance services in a home automation network (device-related reporting H04L43/065; arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom H04Q9/00)} - H04W 4/80: Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication - G05B 2219/2642: Domotique, domestic, home control, automation, smart house - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract Embodiments provided herein relate to enforcing a device restriction policy. A device restriction policy may be stored that maps one or more portions of a household with particular household occupants of a plurality of household occupants. A request may be received to activate the device restriction policy on a household occupant. The device restriction policy may be activated against the household occupant based on the received request. One or more electronic devices may be disabled that are located in a portion of the household linked with the household occupant based on the received request and the device restriction policy. ## Claims ### Claim 1 A method comprising: determining sensors associated with a household policy to be implemented, wherein the sensors are located within a household; determining a sensor confidence level for the sensors associated with the household policy; analyzing the sensor confidence level with respect to a confidence threshold; and causing based, at least in part on the analyzing, the household policy to be implemented within the household. ### Claim 2 (depends on 1) The method of claim 1, wherein determining the sensors includes determining that one or more sensors are associated with one or more of an activity, event, or attribute for the household policy to be implemented. ### Claim 3 (depends on 1) The method of claim 1, further comprising expressing the sensor confidence level as one or more of a single scalar percentage metric, or a multiple-feature vector. ### Claim 4 (depends on 1) The method of claim 1, further comprising obtaining sensor data from one or more of the sensors associated with the household policy. ### Claim 5 (depends on 4) The method of claim 4, further comprising: determining that the confidence threshold has not been met; and monitoring one or more of the sensors to obtain additional sensor data. ### Claim 6 (depends on 1) The method of claim 1, further comprising: determining sensor attributes associated with the sensors to discern conditions associated with implementing the household policy; determining a level of precision with which the determined sensor attributes are observable; and providing a predicted sensor confidence for obtaining the sensor attributes for the household policy. ### Claim 7 (depends on 6) The method of claim 6, wherein determining the level of precision comprises obtaining sensor data from one or more of the sensors and analyzing the sensor data may for data quality. ### Claim 8 (depends on 1) The method of claim 1, further comprising determining one or more modifications to a sensor arrangement to increase a predicted sensor confidence; and providing the one or modifications via a user interface to increase the predicted sensor confidence. ### Claim 9 A system comprising: one or more processors; and a memory communicatively coupled with and readable by the one or more processors and having stored therein processor-readable instructions which, when executed by the one or more processors, cause the one or more processors to: determine sensors associated with a household policy to be implemented, wherein the sensors are located within a household; determine a sensor confidence level for the sensors associated with the household policy; analyze the sensor confidence level with respect to a confidence threshold; and cause based, at least in part on the analyzing, the household policy to be implemented within the household. ### Claim 10 (depends on 9) The system of claim 9, wherein determining the sensors includes determining that one or more sensors are associated with one or more of an activity, event, or attribute for the household policy to be implemented. ### Claim 11 (depends on 9) The system of claim 9, wherein the processor-readable instructions, when executed, further cause the one or more processors to obtain sensor data from one or more of the sensors associated with the household policy. ### Claim 12 (depends on 11) The system of claim 11, wherein the processor-readable instructions, when executed, further cause the one or more processors to: determine that the confidence threshold has not been met; and monitor one or more of the sensors to obtain additional sensor data. ### Claim 13 (depends on 9) The system of claim 9, wherein the processor-readable instructions, when executed, further cause the one or more processors to: determine sensor attributes associated with the sensors to discern conditions associated with implementing the household policy; determine a level of precision with which the determined sensor attributes are observable; and provide a predicted sensor confidence for obtaining the sensor attributes for the household policy. ### Claim 14 (depends on 13) The system of claim 13, wherein determining the level of precision comprises obtaining sensor data from one or more of the sensors and analyzing the sensor data may for data quality. ### Claim 15 (depends on 9) The system of claim 9, wherein the processor-readable instructions, when executed, further cause the one or more processors to determine one or more modifications to a sensor arrangement to increase a predicted sensor confidence; and providing the one or modifications via a user interface to increase the predicted sensor confidence. ### Claim 16 A non-transitory processor-readable medium, comprising processor-readable instructions configured to cause one or more processors to: determine sensors associated with a household policy to be implemented, wherein the sensors are located within a household; determine a sensor confidence level for the sensors associated with the household policy; analyze the sensor confidence level with respect to a confidence threshold; and cause based, at least in part on the analyzing, the household policy to be implemented within the household. ### Claim 17 (depends on 16) The non-transitory processor-readable medium of claim 16, wherein determining the sensors includes determining that one or more sensors are associated with one or more of an activity, event, or attribute for the household policy to be implemented. ### Claim 18 (depends on 16) The non-transitory processor-readable medium of claim 16, wherein the processor-readable instructions, when executed, further cause the one or more processors to: determine sensor attributes associated with the sensors to discern conditions associated with implementing the household policy; determine a level of precision with which the determined sensor attributes are observable; and provide a predicted sensor confidence for obtaining the sensor attributes for the household policy. ### Claim 19 (depends on 18) The non-transitory processor-readable medium of claim 18, wherein determining the level of precision comprises obtaining sensor data from one or more of the sensors and analyzing the sensor data may for data quality. ### Claim 20 (depends on 16) The non-transitory processor-readable medium of claim 16, wherein the processor-readable instructions, when executed, further cause the one or more processors to determine one or more modifications to a sensor arrangement to increase a predicted sensor confidence; and providing the one or modifications via a user interface to increase the predicted sensor confidence.