Method and Apparatus for Evaluating Risk Based on Sensor Monitoring
AssigneeSensormatic Electronics Corporation
InventorDavid Vavrasek
Life of this patent
Estimating the term…
Abstract
Described are techniques for determining a quotation score that would be applicable across lines of insurance and/or carriers, and which involves the collection in real time of sensor information from plural groups of sensors deployed in a specific premises and associated with intrusion detection, access control, burglar, fire alarm systems and surveillance systems and/or other systems that monitor for physical/chemical/biological conditions. The techniques execute unsupervised learning models to continually analyze the collected sensor information to produce sequences of state transitions that are assign scores and from which a quotation score is produced.
Claims8
A computer program product tangibly stored on a computer readable hardware storage device, the computer program product for controlling operation of sensors at a physical premises, the computer program product comprising instructions to cause a processor to:
- collect sensor information from plural groups of sensors deployed in a specific premises;
- execute one or more unsupervised learning models to continually analyze the collected sensor information to produce operational states;
- produce sequences of state transitions from the operational states of sensor information;
- assign scores to the produced sequences;
- determine from the assigned scores a quotation score;
- and
- store the sensor information with the determined quotation score in a persistent storage system.
A system comprises:
- a server computer comprising processor and memory, the server computer coupled to a network;
- a storage device storing a computer program product for detecting conditions at a physical premises, the computer program product comprising instructions to cause the server to:
- collect sensor information from plural groups of sensors deployed in a specific premises;
- execute one or more unsupervised learning models to continually analyze the collected sensor information to produce operational states;
- produce sequences of state transitions from the operational states of sensor information;
- assign scores to the produced sequences;
- and
- store the sensor information with produced scores in a remote persistent storage system.
Dependencies are inferred from the claim text.