Invention Grant
- Patent Title: Sensor data to identify catastrophe areas
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Application No.: US16913779Application Date: 2020-06-26
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Publication No.: US11348436B2Publication Date: 2022-05-31
- Inventor: Phillip Moon , Sunish Menon , Jeffrey Kinsey , Jeffrey W. Stoiber
- Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
- Applicant Address: US IL Bloomington
- Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
- Current Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
- Current Assignee Address: US IL Bloomington
- Agency: Faegre Drinker Biddle & Reath LLP
- Main IPC: G08B21/10
- IPC: G08B21/10 ; G08B27/00 ; G01C21/34 ; G01S19/42 ; G06Q40/08 ; G08B21/18 ; G08B25/00 ; G08G1/01 ; G06Q50/26 ; H04Q9/00

Abstract:
A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.
Public/Granted literature
- US20200327791A1 SENSOR DATA TO IDENTIFY CATASTROPHE AREAS Public/Granted day:2020-10-15
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