20240013640. SYSTEMS AND METHODS FOR ANALYZING SENSOR DATA TO DETECT PROPERTY INTRUSION EVENTS simplified abstract (STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY)

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SYSTEMS AND METHODS FOR ANALYZING SENSOR DATA TO DETECT PROPERTY INTRUSION EVENTS

Organization Name

STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor(s)

Jackie O. Jordan, Ii of Bloomington IL (US)

John Donovan of Bloomington IL (US)

David Turrentine of Normal IL (US)

Torri Wollenschlager of Bloomington IL (US)

Bryan R. Nussbaum of Bloomington IL (US)

Deanna Stockweather of Normal IL (US)

Jeffrey W. Stoiber of Atlanta GA (US)

Kerstin Markwardt of Phoenix AZ (US)

Gail L. Carlson of Bloomington IL (US)

Kyle C. Schiebel of Bloomington IL (US)

Troy Winslow of Bloomington IL (US)

Joseph P. Harr of Bloomington IL (US)

Ellakate Wagner of Bloomington IL (US)

Michael Harris, Jr. of Tempe AZ (US)

Jennylind Sun of Bloomington IL (US)

SYSTEMS AND METHODS FOR ANALYZING SENSOR DATA TO DETECT PROPERTY INTRUSION EVENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240013640 titled 'SYSTEMS AND METHODS FOR ANALYZING SENSOR DATA TO DETECT PROPERTY INTRUSION EVENTS

Simplified Explanation

The present embodiments relate to a system and method for identifying property intrusion events in a smart home using sensor data from smart devices. The system includes a smart home controller that compares the sensor data to baseline sensor data to dynamically identify an intrusion event. The controller can generate a notification and determine an action to mitigate damage or risk. The individual associated with the home can be notified of the event and choose to perform the action, or the controller can automatically perform the action. This technology aims to reduce damage caused by intrusion events and mitigate risk, potentially leading to reduced insurance claims and insurance discounts based on risk mitigation functionality.

  • Smart home controller compares sensor data to baseline data to identify intrusion events
  • Generates notifications and determines actions to mitigate damage or risk
  • Individuals associated with the home can be notified and choose to perform actions
  • Controller can automatically perform actions
  • Reduces damage caused by intrusion events
  • Mitigates risk
  • Potential for reduced insurance claims and insurance discounts based on risk mitigation functionality

Potential Applications

  • Home security systems
  • Insurance industry
  • Smart home technology
  • Property management

Problems Solved

  • Identifying property intrusion events in real-time
  • Prompting corrective action in response to intrusion events
  • Mitigating damage caused by intrusion events
  • Reducing insurance claims and claim amounts associated with intrusion events

Benefits

  • Enhanced home security
  • Real-time identification of intrusion events
  • Prompted or automatic corrective action
  • Risk mitigation
  • Potential for reduced insurance claims and claim amounts
  • Insurance discounts based on risk mitigation functionality


Original Abstract Submitted

the present embodiments relate to identifying property intrusion events based upon sensor data received from smart devices populated about a home. a smart home controller may compare the sensor data to baseline sensor data to dynamically identify an intrusion event that may be occurring. the controller may generate a notification and determine an action to perform to facilitate damage or risk mitigation. accordingly, an individual associated with the home may be notified of the event, and then select to perform the action, such as via their mobile device. in some implementations, the controller may automatically perform the action. as a result, in response to computer identification of an intrusion event, corrective action may be taken or prompted, or otherwise any damage caused by the intrusion event may be mitigated, reducing insurance claims or claim amounts associated with intrusion events. insurance discounts may be provided based upon the risk mitigation functionality.