Abstract: 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.

Abstract: Techniques are disclosed to display a dwelling's selling features on a mobile computing device as a user walks through a home. One or more transmitters may be positioned throughout a dwelling. When the mobile computing device is within a threshold range of a transmitter, the mobile computing device may send data identifying the transmitter to back end components. The back end components may correlate the identifying data with selling features associated with that dwelling location. The mobile computing device may receive this information from the one or more back end components and display the selling features. Other methods are also provided to trigger information to be displayed implementing geofences and near field communications (NFC). User feedback may be solicited and stored as part of a user profile, which may be used for marketing, advertising, to calculate homeowners insurance premium or home loan quotes, handle insurance claims, or other suitable purposes.

Abstract: A computer-implemented method in a mobile computing device for tracking health and usage of electric vehicle (EV) batteries using Quick Response (QR) codes (or NFC or RFID tags) is provided. The method may include (1) capturing, by a camera associated with a mobile computing device, an image of a tag affixed to an EV; (2) analyzing the image of the tag affixed to the EV; (3) identifying, by the one or more processors of the mobile computing device, the EV based upon analyzing the image of the tag affixed to the EV; (4) determining vehicle battery data associated with a rechargeable battery that powers the identified EV; (5) determining based upon the vehicle battery data associated with the rechargeable battery that powers the identified EV, a battery status indication corresponding to the identified EV; and/or (6) providing, via a user interface, the battery status indication corresponding to the identified EV.

Abstract: A computer-implemented method in a mobile computing device for tracking health and usage of electric vehicle (EV) batteries using Quick Response (QR) codes (or NFC or RFID tags) is provided. The method may include (1) capturing, by a camera associated with a mobile computing device, an image of a tag affixed to an EV; (2) analyzing the image of the tag affixed to the EV; (3) identifying, by the one or more processors of the mobile computing device, the EV based upon analyzing the image of the tag affixed to the EV; (4) determining vehicle battery data associated with a rechargeable battery that powers the identified EV; (5) determining based upon the vehicle battery data associated with the rechargeable battery that powers the identified EV, a battery status indication corresponding to the identified EV; and/or (6) providing, via a user interface, the battery status indication corresponding to the identified EV.

Abstract: A computer-implemented method of predicting and providing an efficient driving route for an electric vehicle (EV) based upon battery health impact includes (i) receiving geographical telematics data; (ii) generating one or more driving routes for the electric vehicle based upon at least the geographical telematics data; (iii) predicting a projected battery health impact on a battery of the electric vehicle for each driving route of the one or more driving routes, wherein the projected battery health impact for each driving route is based at least upon geographical characteristics of the driving route; (iv) determining one or more battery-efficient driving route recommendations based upon at least the projected battery health impact for each driving route; and/or (v) providing the one or more battery-efficient driving route recommendations to a user.

Abstract: A computer-implemented method of monitoring one or more batteries of an electric vehicle (EV) includes (i) detecting an indication of a battery failure event for an electric vehicle; (ii) determining a response to the battery failure event based upon the indication; (iii) determining, based upon the battery failure event, an assistance location for the electric vehicle; (iv) generating a route from a location of an autonomous vehicle to the assistance location for the electric vehicle; and (v) transmitting a command to the autonomous vehicle to drive to the assistance location for the electric vehicle, wherein the command includes the response to the battery failure event and the route from the location of the autonomous vehicle to the assistance location.

Abstract: A server and non-transitory computer-readable storage medium storing instructions for monitoring one or more batteries of an electric vehicle (EV) comprising computing instructions for (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.

Abstract: Computer-implemented methods of monitoring one or more batteries of an electric vehicle (EV) include (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.

Abstract: Methods and systems that manage building code compliance are provided. A smart or interconnected home may be populated with multiple smart or other devices that are in wired or wireless communication with a central controller. The smart devices may be covered by an insurance policy, such as a homeowners, renters, or personal articles insurance policy. The controller may receive building code compliance information associated with the smart devices, and may update an inventory list to include the building code compliance information. The controller may detect that one or more devices do not comply with building code requirements. The controller may transmit a notification to a customer about possible corrective actions to remedy non-compliant conditions and to facilitate building code compliance. The smart devices may be associated with appliances, electronics, wiring, pipes, ducts, or other equipment or personal belongings.

Abstract: A system and method for measuring a driver’s actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers’ driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

Abstract: The present embodiments relate to managing the operation of devices within a home or other property based upon electrical usage data. With customer knowledge or consent, a home controller may retrieve and analyze electrical usage data corresponding to a device, such as by comparing it to certain threshold data. If the analysis results in a trigger condition, the controller may generate a command, and transmit the command to the device for implementation, allowing modification of device operation to address any issues indicated in the electrical usage data. In some implementations, the controller may notify a home owner/occupant. As a result, faulty devices may be managed prior to their faults causing damage to the device and/or the property, and/or property owners may be timely prompted to investigate, repair, and/or replace a failing device. Insurance discounts may be provided based upon the risk mitigation/prevention functionality.

Abstract: Managing the operation of devices within a home or other property based upon electrical usage data. With customer knowledge or consent, a home controller may retrieve and analyze electrical usage data corresponding to a device, such as by comparing it to certain threshold data. If the analysis results in a trigger condition, the controller may generate a command, and transmit the command to the device for implementation, allowing modification of device operation to address any issues indicated in the electrical usage data. The controller may notify a home owner/occupant. As a result, faulty devices may be managed prior to their faults causing damage to the device and/or the property, and/or property owners may be timely prompted to investigate, repair, and/or replace a failing device. Insurance discounts may be provided based upon the risk mitigation/prevention functionality.

Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

Abstract: Methods and systems that manage building code compliance are provided. A smart or interconnected home may be populated with multiple smart or other devices that are in wired or wireless communication with a central controller. The smart devices may be covered by an insurance policy, such as a homeowners, renters, or personal articles insurance policy. The controller may receive building code compliance information associated with the smart devices, and may update an inventory list to include the building code compliance information. The controller may detect that one or more devices do not comply with building code requirements. The controller may transmit a notification to a customer about possible corrective actions to remedy non-compliant conditions and to facilitate building code compliance. The smart devices may be associated with appliances, electronics, wiring, pipes, ducts, or other equipment or personal belongings.

Abstract: The present embodiments relate to detecting instances of individuals being in peril within an independent or assisted living environment. According to certain aspects, with an individual's permission or affirmative consent, a hardware controller (such as a smart or interconnected home controller, or even a mobile device) may receive and analyze sensor data detected within the independent or assisted living environment to determine whether an individual may be in peril. In this circumstance, the hardware controller may generate a notification that indicates the situation and may communicate the notification to a proper individual, such as a family member or care giver, who may be in a position to mitigate or alleviate any risks posed by the situation. The foregoing functionality also may be used by an insurance provider to generate, update, or adjust insurance policies, premiums, rates, or discounts, and/or make recommendations to an insured individual.

Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

Abstract: The present embodiments relate to detecting instances of individuals being in peril within an independent or assisted living environment. According to certain aspects, with an individual's permission or affirmative consent, a hardware controller (such as a smart or interconnected home controller, or even a mobile device) may receive and analyze sensor data detected within the independent or assisted living environment to determine whether an individual may be in peril. In this circumstance, the hardware controller may generate a notification that indicates the situation and may communicate the notification to a proper individual, such as a family member or care giver, who may be in a position to mitigate or alleviate any risks posed by the situation. The foregoing functionality also may be used by an insurance provider to generate, update, or adjust insurance policies, premiums, rates, or discounts, and/or make recommendations to an insured individual.

Abstract: The present embodiments relate to detecting instances of individuals being in peril within an independent or assisted living environment. According to certain aspects, with an individual's permission or affirmative consent, a hardware controller (such as a smart or interconnected home controller, or even a mobile device) may receive and analyze sensor data detected within the independent or assisted living environment to determine whether an individual may be in peril. In this circumstance, the hardware controller may generate a notification that indicates the situation and may communicate the notification to a proper individual, such as a family member or care giver, who may be in a position to mitigate or alleviate any risks posed by the situation. The foregoing functionality also may be used by an insurance provider to generate, update, or adjust insurance policies, premiums, rates, or discounts, and/or make recommendations to an insured individual.

Abstract: Methods and systems for generating a response to detecting a fire on a property are provided. In certain aspects, a smart home controller (or other smart controller) may analyze data received from smart devices disposed on, within, or proximate to a property. If it is determined that a fire is present on the premises of the property, the smart home controller may determine a location of the fire as compared to the smart devices. The smart home controller may then generate and transmit instructions causing a portion of the smart devices to perform a set of actions to mitigate risks associated with the presence of the fire on the property. The smart home controller may also compare the location of the fire with a location of an occupant, and generate an escape route for the occupant. Insurance policies, premiums, or discounts may be adjusted based upon the fire response/mitigation functionality.