Security systems and methods for detecting hazards using smart sensors
AssigneeState Farm Mutual Automobile Insurance Company
InventorJennifer Curiel
Life of this patent
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Abstract
A sensor for detecting hazards is described that includes a memory and a processor. The processor may be configured to generate sensor profile data associated with a location and apply the sensor profile data to a sensor model profile associated with the location wherein the sensor model profile includes a plurality of parameter levels for the location generated by a machine learning model. The processor may also be configured to identify a discrepancy between the sensor profile data and the sensor model profile and determine a potential hazard at the location based upon the discrepancy between the sensor profile data and the sensor model profile. The processor may further be configured to generate an alert based upon the potential hazard at the location.
Claims18
A sensor for detecting hazards, the sensor comprising:
- at least one memory with instructions stored thereon;
- and
- at least one processor in communication with the at least one memory, wherein the instructions, when executed by the at least one processor, cause the at least one processor to:
- generate sensor profile data associated with a location proximate to the sensor based upon sensor data generated by the sensor and a plurality of other sensors associated with the location and in communication with the sensor, the plurality of other sensors including an electric vehicle (EV) sensor for monitoring charging of an EV;
- apply the sensor profile data to a sensor model profile associated with the location and stored in the at least one memory, wherein the sensor model profile includes a plurality of parameter levels for the location proximate to the sensor generated by a machine learning model;
- identify a discrepancy between the sensor profile data and the sensor model profile;
- determine a potential electrical hazard associated with charging of the EV at the location based upon the discrepancy between the sensor profile data and the sensor model profile;
- and
- generate an alert based upon the potential electrical hazard at the location.
A sensor system for detecting hazards, the sensor system comprising:
- at least one sensor;
- at least one memory with instructions stored thereon;
- and
- at least one processor in communication with the at least one memory, wherein the instructions, when executed by the at least one processor, cause the at least one processor to:
- generate sensor profile data associated with a location proximate to the at least one sensor based upon sensor data generated by the at least one sensor and a plurality of other sensors associated with the location and in communication with the at least one sensor, the plurality of other sensors including an electric vehicle (EV) sensor for monitoring charging of an EV;
- apply the sensor profile data to a sensor model profile associated with the location and stored in the at least one memory, wherein the sensor model profile includes a plurality of parameter levels for the location of the at least one sensor generated by a machine learning model;
- identify a discrepancy between the sensor profile data and the sensor model profile;
- determine a potential electrical hazard associated with charging of the EV at the location based upon the discrepancy between the sensor profile data and the sensor model profile;
- and
- generate an alert based upon the potential electrical hazard at the location.
A computer-implemented method for detecting hazards implemented by at least one processor in communication with at least one memory, the computer-implemented method comprising:
- generating sensor profile data associated with a location proximate to a sensor based upon sensor data generated by the sensor and a plurality of other sensors associated with the location and in communication with the sensor, the plurality of other sensors including an electric vehicle (EV) sensor for monitoring charging of an EV;
- applying the sensor profile data to a sensor model profile associated with the location and stored in the at least one memory, wherein the sensor model profile includes a plurality of parameter levels for the location proximate to the sensor generated by a machine learning model;
- identifying a discrepancy between the sensor profile data and the sensor model profile;
- determining a potential electrical hazard associated with charging of the EV at the location based upon the discrepancy between the sensor profile data and the sensor model profile;
- and
- generating an alert based upon the potential electrical hazard at the location.
Dependencies are inferred from the claim text.