System and method for sensor-enhanced insurance coverage and monitoring service
A network of sensors is utilized to capture and relay data that is relevant to specific types of insurance coverage. Sensors included in the network can be deployed as specialized devices, or can be found in existing consumer products. Behavioral and environmental data collected from the sensor network is used to establish a feedback relationship between an insurance policy holder's behavior and insurance policy pricing. Various types of insurance products can benefit from behavioral and environmental data, including health insurance, dental insurance, disability insurance and automobile insurance. Collected data can be used for other purposes, such as initial risk assessment, risk monitoring, and prevention services.
1. A vehicle damage assessment system comprising:
an accelerometer disposed in a vehicle configured to generate data representing acceleration;
a plurality of microphones disposed on a plurality of body panels of the vehicle, each microphone of the plurality of microphones configured to generate data representing sounds generated by a corresponding body panel of the vehicle upon occurrence of damage to the corresponding body panel;
a processor configured to:
identify, based on the sound data generated by at least one microphone of the plurality of microphones, a particular body panel of the plurality of body panels damaged by a collision involving the vehicle; and
estimate a magnitude of the collision based on: the accelerometer acceleration data and the identified damaged particular body panel.
2. The risk assessment system of claim 1 , wherein the processor is further configured to estimate the magnitude of the collision based on an intensity of the sound data generated by at least one microphone of the plurality of microphones.
3. The risk assessment system of claim 1 , wherein the processor is further configured to estimate a resulting amount of damage caused by the collision based on: the accelerometer acceleration data and the identified damaged particular body panel.
4. The risk assessment system of claim 1 , wherein the processor is further configured to determine an occurrence of the collision based on the accelerometer acceleration data.
5. The risk assessment system of claim 1 , further comprising a geolocation sensor configured to generate data representing a geolocation of the vehicle.
6. The risk assessment system of claim 5 , wherein the processor is further configured to calculate a velocity of the vehicle based on the vehicle geolocation data.
7. The risk assessment system of claim 6 , wherein the processor is further configured to estimate the magnitude of the collision based on the calculated velocity of the vehicle.
8. The risk assessment system of claim 1 , wherein the processor is further configured to determine whether the accelerometer acceleration data exceeds a pre-determined threshold to distinguish acceleration data indicative of a collision from acceleration data indicative of intentional acceleration and braking.
9. The risk assessment system of claim 1 , wherein the processor is further configured to monitor whether the data generated by at least one microphone of the plurality of microphones matches a profile indicative of a collision.
10. The risk assessment system of claim 1 , further comprising a communications module, the communications module configured to transmit to a remote server at least one of the sound data generated by at least one microphone of the plurality of microphones, the accelerometer acceleration data, and the estimated magnitude of the collision.
11. A method for assessing damage to a vehicle, the method comprising:
receiving by a processor acceleration data from an accelerometer disposed in a vehicle;
receiving by the processor sound data generated by at least one microphone of a plurality of microphones, wherein the plurality of microphones are disposed on a plurality of body panels of the vehicle, and wherein each microphone of the plurality of microphones is configured to capture sounds generated by a corresponding body panel of the vehicle upon occurrence of damage to the corresponding body panel;
identifying by the processor, based on the sound data generated by the at least one microphone of the plurality of microphones, a particular body panel of the plurality of body panels damaged by a collision involving the vehicle; and
estimating by the processor a magnitude of the collision based on: the accelerometer acceleration data and the identified damaged particular body panel.
12. The method of claim 11 , further comprising estimating the magnitude of the collision based on an intensity of the sound data generated by at least one microphone of the plurality of microphones.
13. The method of claim 11 , further comprising estimating a resulting amount of damage caused by the collision based on: the accelerometer acceleration data and the identified damaged particular body panel.
14. The method of claim 11 , further comprising determining an occurrence of the collision based on the accelerometer acceleration data.
15. The method of claim 11 , further comprising receiving geolocation data of the vehicle from a geolocation sensor.
16. The method of claim 15 , further comprising calculating a velocity of the vehicle based on the vehicle geolocation data.
17. The method of claim 16 , further comprising estimating the magnitude of the collision based on the calculated velocity of the vehicle.
18. The method of claim 11 , further comprising determining whether the accelerometer acceleration data exceeds a pre-determined threshold to distinguish acceleration data indicative of a collision from acceleration data indicative of intentional acceleration and braking.
19. The method of claim 11 , further comprising monitoring whether the data generated by at least one microphone of the plurality of microphones matches a profile indicative of a collision.
20. The method of claim 11 , further comprising transmitting to a remote server at least one of the sound data generated by at least one microphone of the plurality of microphones, the accelerometer acceleration data, and the estimated magnitude of the collision.