Patent ID: 12217315

DETAILED DESCRIPTION

While this invention is susceptible of an embodiment in many different forms, there are shown in the drawings and will be described herein in detail specific embodiments thereof with the understanding that the present disclosure is to be considered as an exemplification of the principles of the invention. It is not intended to limit the invention to the specific illustrated embodiments.

Embodiments disclosed herein include systems and methods that can detect use of a consumer electronics device and systems and methods that can generate and offer insurance or protection plans that measure, account, and adjust for the use of the consumer electronics device and consumer tendencies while using the consumer electronics device.

In some embodiments, systems and methods disclosed herein can receive or retrieve data from sensors included within the consumer electronics device, analyze the data, and determine whether the data indicates that the consumer electronics device has been dropped. For example, in some embodiments, systems and methods disclosed herein can determine whether the data from an accelerometer included within the consumer electronics device indicates that acceleration of the consumer electronics device is consistent with the consumer electronics device being dropped, such as the data both exceeding a first threshold value and dropping below a second threshold value within a predetermined period of time or the data initially dropping below the second threshold value, subsequently exceeding the first threshold value, and subsequently dropping below the second threshold value within the predetermined period of time. Additionally or alternatively, in some embodiments, systems and methods disclosed herein can determine whether the data from a gyroscope included within the consumer electronics device indicates that a rotation and an orientation of the consumer electronics device is consistent with the consumer electronics device being dropped and strongly impacting a surface.

In some embodiments, systems and methods disclosed herein can identify activities related to the consumer electronics device that pose potential risk of damage to the consumer electronics device. For example, in some embodiments, systems and methods disclosed herein can identify the activities that pose the potential risk of damage to the consumer electronics device based on location data of the consumer electronics device, intended location data of the consumer electronics device, or intended events to be attended by a user of the consumer electronics device.

In some embodiments, systems and methods disclosed herein can monitor user interactions with the consumer electronics device, including the user interactions or a lack of the user interactions with applications executed by the consumer electronics device, to determine a potential risk to the consumer electronics device or other items protected by an insurance or protection plan. In some embodiments, systems and methods disclosed herein can transmit an audible or visual warning message to the user indicative of the user interactions identified as posing the potential risk.

In some embodiments, systems and methods disclosed herein can identify a replacement cost percentage for the consumer electronics device based on a depreciated value of the consumer electronics device and generate and offer a discounted insurance or protection plan when the replacement cost percentage exceeds a predetermined threshold value.

In some embodiments, systems and methods disclosed herein can identify a durability index rating for the consumer electronics device and generate and offer a discounted insurance or protection plan when the durability index rating exceeds a predetermined threshold value. In some embodiments, systems and methods disclosed herein can identify the durability index rating based on extensive testing of various makes and models of consumer electronics devices.

In some embodiments, systems and methods disclosed herein can execute a diagnostics test on the consumer electronics device, determine whether any components of the consumer electronics device are non-functional or broken, and generate and offer a discounted insurance or protection plan when a predetermined number of the components are identified as non-functional. In some embodiments, a value of the discounted insurance or protection plan can be based on which of the components is identified as non-functional and, based on past policy claims data, how often that non-functioning component is broken.

FIG.1is a block diagram of a system100in accordance with disclosed embodiments and can implement the methods disclosed herein. As seen, the system100can include a consumer electronics device3that can be operated by a user1and that can execute a software application2. In some embodiments, the software application2can communicate with and receive or retrieve data from one or more sensors4included within the consumer electronics device3. In some embodiments, the consumer electronics device3can include a smartphone, a tablet, or a laptop computer. When the consumer electronics device3is a smartphone, the consumer electronics device can include up to eight of the sensors4, including one or more of a touchscreen, an accelerometer, a gyroscope, a magnetometer, a global positioning (GPS) system, a barometer, an ambient light sensor, a proximity sensor, and a fingerprint sensor. Additionally or alternatively, in some embodiments, the sensors4can include one or more cameras, which can collect the data when the software2includes video analytics software.

In some embodiments, the software application2can be stored and executed on the consumer electronics device3. Alternatively, in some embodiments, the software application2can be web-based and can retrieve the data from the sensors4when the consumer electronics device3navigates to a website universal resource locator (URL) associated with the software application2or at periodic intervals identified by the software application2.

In some embodiments, the software application2can generate a user risk profile5based on the data received from the sensors4and save the user risk profile5in a database device. For example, in some embodiments, the software application2can use the data from the sensors4to determine whether the consumer electronics device3has been dropped by the user1a predetermined number of times that indicates a propensity for dropping the consumer electronics device3. Responsive thereto, the software application2can generate the user risk profile5to indicate that the user1has a propensity to drop the consumer electronics device3, and, therefore, is associated with a predetermined level of risk to insure.

In some embodiments, the software application2and the consumer electronics device3can transmit the user risk profile5to a protection and insurance offering system7via a network connection, such as a LTE, 4G, WiFi, or any other Internet-based connection, and in some embodiments, the protection and insurance offering system7can include a cloud-based server, which can be accessible at a predetermined URL. In some embodiments, the protection and insurance offering system7can also receive or retrieve input data6from other sources. For example, the input data6can include identifications of locations that present an increased risk to the safety of the consumer electronics device3, identifications of times and dates of events that present an increased risk to the safety of the consumer electronics device3, identifications of past interactions of the user1with another device, or identifications of any other factors that may impact the risk associated with the user1owning and using the consumer electronics device3.

Based on the user risk profile5and the input data6, the protection and insurance offering system7can generate a risk based policy offering8that is customized to the user and the consumer electronics device3. For example, in some embodiments, the risk based policy offering8can include a custom price to insure the consumer electronics device3for the user1, and in some embodiments, the risk based policy offering8can include terms and a scope of protection for an insurance or protection plan associated with the user1and the consumer electronics device3. In some embodiments, the risk based policy offering8can include a provision in a terms of service associated with the risk based policy offering8requiring that the software application2be installed on the consumer electronics device2at all times during the life of the risk based policy offering8and that removal of the software application2from the consumer electronics device will void insurance protection associated with the risk based policy offering8.

As disclosed herein, a common and constant risk to the consumer electronics device3is that the user1will drop the consumer electronics device3, thereby damaging the consumer electronics device3. For example, if the user1drops the consumer electronics device3from a sufficient height and in a specific manner, then a screen of the consumer electronics device3may shatter. Thus, an important factor measured by the software application2and included in the user risk profile5is when and how often the user1drops the consumer electronics device3.

In this regard, the software application2can identify a trauma event each time the consumer electronics device3is dropped from a height that ends in a hard impact, and the software application2can use the trauma event to create the user risk profile5. In some embodiments, the software application2can communicate with the user1, such as by generating a notification message (e.g. email notification, push notification) that includes one or more suggested proactive actions to prevent future drops. For example, the one or more suggested proactive actions may include the user1purchasing a shock-absorbing case for the consumer electronics device3, a screen protector for the consumer electronics device, or gripping strips that increase an amount of friction on a housing of the consumer electronics device3while being held by the user1. In some embodiments, the notification message may include one or more reasons for the suggested proactive action, such as data that suggests the user1drops the consumer electronics device3more than average.

As disclosed herein, the software application2can identify when the consumer electronics device3has been dropped. For example, in some embodiments, the software application2can monitor the data from the sensors4, such as the accelerometer, to determine whether the consumer electronics device3has been dropped. In some embodiments, the software application2can identify an impact level of the consumer electronics device3being dropped to differentiate between a damage-inducing drop when the consumer electronics device3impacts a hard surface (e.g. a cement floor) and a harmless drop when the consumer electronics device3impacts a soft surface (e.g. a couch). In some embodiments, the software application2can validate the impact level using the data collected from sensors4, such as the accelerometer or the gyroscope.

FIG.2is a flow diagram of a method200for detecting whether the consumer electronics device3has been dropped in accordance with disclosed embodiments. As seen, the method200can include starting a background service, as in3-1. For example, the background service can be started by installing the software application2on the consumer electronics device3for continually monitoring the data from the sensors4to detect conditions indicative of a drop. In some embodiments, the background service may be unnoticeable to the user1during regular use of the consumer electronics device3.

The method200can also include setting lower and upper threshold values and a time interval, as in3-2. In some embodiments, the lower and upper threshold values and the time interval can be predetermined, and in some embodiments, the upper threshold can be greater than the lower threshold. For example, the upper threshold value can be set to an acceleration value corresponding with a height at which the consumer electronics device3must be dropped to qualify as a damage-inducing drop. Additionally or alternatively, in some embodiments, the lower and upper threshold values can be based on a type of the consumer electronics device3on which the software application2is installed. For example, an iPhone 8 Plus may be heavier than an iPhone 8 so, when dropped, a force of impact for the iPhone 8 Plus may be higher than the iPhone 8. As such, the software application2installed on the iPhone 8 Plus may set the upper threshold value higher than the software application2installed on the iPhone 8 sets the upper threshold value. Additionally or alternatively, in some embodiments, the upper and lower threshold values can be identified from the data from the sensors4, including acceleration values measured by the accelerometer, angular velocity values measured by the gyroscope, and/or orientation values measured by the gyroscope and the magnetometer. In any embodiment, the lower and upper threshold values can be set at values that facilitate identifying drops that follow the same general pattern discussed herein.

The method200can also include the software application2determining whether the data from the accelerometer is indicative of a drop, that is, whether the data indicates that an acceleration of the consumer electronics device3exceeded the upper threshold value and subsequently fell below the lower threshold value within the time interval or whether the data indicates that the acceleration of the consumer electronics device3initially fell below the lower threshold value, subsequently exceeded the upper threshold value, and subsequently fell below the lower threshold value, as in3-3. In some embodiments, the accelerometer can include a tri-axial accelerometer with three axes (x-axis, y-axis, and z-axis) for measuring the data in three directions, and the data from the accelerometer can be measured in meters per second squared. When the accelerometer is the tri-axial accelerometer, the software application2can calculate a geometric mean of the data associated with the three axes as follows: |AT|=sqrt (ax2, ay2, az2). When the conditions of 3-3 have not been met, the software application2can repeat 3-3. However, when the conditions of 3-3 have been met, the method200can continue to 3-4.

Pursuant to the method200,FIG.3is a graph300plotting accelerometer measurements in accordance with disclosed embodiments and identifies the upper threshold value302, the lower threshold value304, and the data indicative of a drop306. As known by those of ordinary skill in the art, the data from the accelerometer can include the force of gravity (e.g. 9.81 m/s2). Accordingly, when the consumer electronics device3is stationary on a surface, the data from the accelerometer can be 9.81. However, when the consumer electronics device is falling downwards, the data from the accelerometer can be 0. In this regard and as seen in FIG.3, during the drop, the data from the accelerometer can initially fall below the lower threshold value304(e.g. accelerometer data=0 during free fall), subsequently exceed the upper threshold value302(e.g. accelerometer data=36 upon impacting a surface and bouncing off the surface), and subsequently fall below the lower threshold value304(e.g. accelerometer data=0 during free fall after bouncing off the surface) within the time interval (e.g. 20 ms).

In some embodiments, after initially falling below the lower threshold value304, when the data from the accelerometer subsequently exceeds an intermediate threshold value that is below the upper threshold value302, the method200can determine that the consumer electronics device3was dropped on a soft surface and, therefore, that the drop was harmless.

The method200can also include the software application2determining whether the drop concluded with an impact exceeding an impact threshold value, as in3-4. For example, in some embodiments, the method200can identify an impact level of the consumer electronics device3being dropped to differentiate between a damage-inducing drop when the consumer electronics device3impacts a hard surface and a harmless drop when the consumer electronics device3impacts the soft surface. In this regard, in some embodiments, the method200can validate the drop with the data from the sensors4, such as the data from the gyroscope indicative of the rotation and/or the orientation of the consumer electronics device3in azimuth (angle around the x-axis), pitch (angle around the y-axis), and roll (angle around the z-axis) directions (θX,θT,θZ). In some embodiments, after the data from the accelerometer exceeds the upper threshold value, the software application2can calculate a geometric mean of the rotation of the consumer electronics device3in degrees per second as follows:

=sqrt⁢(2,2,2).
Then, the software application2can confirm that the drop was a damage-inducing drop when the geometric mean of the rotation and the orientation exceeds the impact threshold value. In some embodiments, the impact threshold value can be set based on rotation and orientation values of the consumer electronics device3impacting a hard surface during a drop and/or dropping and inducing damage, wherein such values can be identified via modeling and testing of consumer electronics devices.

When the method200confirms that the drop was a damage-inducing drop, the method200can continue as in3-5. However, when the method200fails to confirm that the drop was a damage-inducing drop, the method200can continue as in3-3, and the software application2can confirm that the drop was a harmless drop.

Finally, the method200can include the software application2registering the drop on a cloud server, such as the protection and insurance offering system7, as in3-5. In some embodiments, registering the drop can include the software application2updating a risk profile5for the user1and the consumer electronics device3. In this regard,FIG.4is a graph400plotting a tendency to drop a device in accordance with disclosed embodiments and identifies four drops over a period of time.

In some embodiments, the software application2can set a thrown threshold value that can be lower than the lower threshold value. In these embodiments, when the data from the accelerometer falls below the thrown threshold value, the software application2can determine that the consumer electronics device3has been thrown, an event that may not be protected by the risk based policy offering8. Additionally or alternatively, the software application2can determine that the consumer electronics device3has been thrown upward when the data from the accelerometer increased before initially falling below the lower threshold value.

When the software application2determines that the user1has a propensity to drop the consumer electronics device3(e.g. a number of drops within a time period exceeds a predetermined threshold value), the protection and insurance offering system7can generate a notification message to the consumer electronics device3that includes an offer to the user1to purchase a case or a screen protector and that can be accompanied by data illustrative of the user1having the propensity to drop the consumer electronics device3. In addition, the protection and insurance offering system7can increase a price of the risk based policy offering8in response to determining that the user1has the propensity to drop the consumer electronics device3and notify the user1as such.

FIG.5is a flow diagram of a method500for adjusting risk in accordance with disclosed embodiments, for example, by generating a risk profile for the user1based on user events and user activities that may affect the risk involved with insuring or protecting the consumer electronics device3.

As seen, the method500can include starting an event detection process, as in4-1. In some embodiments, the event detection process can include a background service that operates in conjunction with the background service described in connection withFIG.2. After beginning the event detection process, the method500can include the software application2or the protection and insurance offering system7identifying the user events and the user activities, as in4-2, and retrieving identified risk scenarios from an event monitoring database, as in4-3, to determine whether any of the user events and the user activities matches any of the identified risk scenarios, as in4-4. If no matches are identified, as in4-4, then the method500can include the software application2continuing to monitor for the user events and the user activities, as in4-2, and retrieve the identified risk scenarios, as in4-3. However, when the method500identifies a match between one of the user events and the user activities and one of the identified risk scenarios, the method500can include the software application2registering the one of the user events and the user activities identified as in4-3on the cloud server, as in4-5.

As an example, one of the identified risk scenarios can include the user1attending a concert, a sporting event, a street festival, or a political march that has a high risk for the consumer electronics device3because the user1is likely to capture a video or a photograph while holding the consumer electronics device3at an elevated height or because large crowds associated with such a high risk event increase the likelihood of the consumer electronics device3being stolen. The software application2can retrieve the identified risk scenario (e.g. concert attendance) and monitor the activities of the user1through the consumer electronics device3to determine whether the user1has purchased or is purchasing a ticket to the concert, for example, by monitoring the user's1internet browsing, determining that the consumer electronics device3received an email confirming a ticket purchase, or by monitoring the user's1text messages. In response to detecting that the user1purchased the ticket to the concert, for example, the software application2can identify a match with the identified risk scenario and can register the user purchasing the concert ticket purchase on the cloud server, as in4-5.

As another example, one of the identified risk scenarios can include the user1traveling internationally or to another high risk location. The software application2can retrieve the identified risk scenario (e.g. international travel) and monitor the activities of the user1to determine whether the user1purchased a ticket to, reserved lodging in, or is physically present in an international location, a specific country particularly associated with risk (e.g. a developing country), or a risky or unsafe geographic location (e.g. a high crime neighborhood), for example, by monitoring a destination address entered by the user1into navigation software (e.g. Waze, Google Maps) or by monitoring GPS coordinates of the consumer electronics device3relative to GPS coordinates of the international location, the specific country particularly associated with risk, or the risky or unsafe geographic location. In response to detecting the user1purchasing the ticket to the international location, for example, the software application2can identify a match with the identified risk scenario and can register the user1purchasing the ticket to the international location on the cloud server, as in4-5.

In some embodiments, when the software application2determines that one of the user events and the user activities matches one of the identified risk scenarios, the protection and insurance offering system7can generate a notification message to the consumer electronics device3that includes an offer to the user1to purchase added protection or insurance at any time prior to the user attending or travelling to the one of the identified risk scenarios to provide enhanced protection or heightened insurance for any or all portions of the user attending or travelling to the one of the identified risk scenarios.

LikeFIG.5,FIG.6is a flow diagram of a method600for adjusting risk and generating warnings in accordance with disclosed embodiments, for example, by monitoring the user activities of the user1within other applications executed by the consumer electronics device3. In doing so, the method200can identify risky behavior of the user1through the consumer electronics device3and offer an insurance or protection plan through the protection and insurance offering system7for more than just the consumer electronics device3. For example, the protection and insurance offering system7can offer insurance or protection for data stored on the consumer electronics device3, stationary electronics in a home of the user1, or actions of the user1.

As seen, the method600can include starting an actions monitoring process, as in10-1. In some embodiments, the actions monitoring process can include a background service that operates in conjunction with the background service described in connection withFIG.2or the event detection process described in connection withFIG.5. After beginning the actions monitoring process, the method600can include the software application2identifying applications and actions that have a pertinence for insurance from a database, as in10-2, and identifying the user events and the user activities, as in4-2, to determine whether any of the user events and the user activities matches any of the applications and actions that have a pertinence for insurance, as in10-3. The method600can determine the user activities by monitoring a user interface or touchscreen of the consumer electronics device3. If, as in10-4, none of the user events and the user activities identified as in4-2matches the applications and the actions identified as in10-2, then the method600can include the software application2continuing to monitor for the user events and the user activities, as in4-2. However, if, as in10-4, one of the user events and the user activities identified as in4-2matches one of the applications and the actions identified as in10-2, then the method600can include the software application2registering the one of the user events and the user activities identified as in4-3(seeFIG.5) on the cloud server, as in4-5.

Finally, the method600can include determining whether the one of the user events and the user activities identified as in4-2requires a notification message for warning the user1, as in10-5. If so, then the notification message can be generated and audibly or visibly presented to the user1, as in10-6.

As an example, one of the applications and the actions identified as in10-2can include an application that controls a home security system of the user1. When the software application2determines, through GPS data, that the user1is away from home, the software application2can determine whether the user1has armed the home security system via the application that controls the home security system. When the user1has failed to arm the home security system via the application that controls the home security system, the software application2can generate a notification message to remind the user1to arm the home security system via the application that controls the home security system. Failure to consistently arm the home security system or respond to reminders to do so can result in increased costs in the risk based policy offering8.

As another example, one of the applications and the actions identified as in10-2can include an application that backs up data stored on the consumer electronics device3. The software application2can monitor the user1backing up the consumer electronics device3via the application that backs up data stored on the consumer electronics device3, and upon a failure to backup within a predetermined period of time, the software application2can offer a service to back up the data stored on the consumer electronics device3via the risk based policy offering8and/or automatically back up the consumer electronics device3.

Generally, the cost to repair or replace the consumer electronics device3drops precipitously over time. For example,FIG.7is a graph plotting device depreciation for an iPhone 6s mobile device, an iPhone X mobile device, and a Samsung Galaxy S6 mobile device. As shown inFIG.7, 70-80% of a device's value is lost after one year. Accordingly, systems and methods disclosed herein can offer a discounted insurance plan based on the device depreciation.

FIG.8is a flow diagram of a method800for accounting for device depreciation in accordance with disclosed embodiments, for example, by basing a price of an insurance offering on depreciated value. For example, the consumer electronics device3can depreciate from a launch date regardless of when the consumer electronics device3was purchased because newer versions are always being developed. In this regard, the iPhone 8 launched in October, 2017 at a release price of $750 and continued to sell at that price for an extended period of time thereafter. Nevertheless, a value of the iPhone 8 depreciated approximately 1% per week with a floor determined by demand in the marketplace.

As seen inFIG.8, the method800can include determining a make and a model of the consumer electronics device, as in801, and identifying a replacement cost percentage of the consumer electronics device3, as in802. In some embodiments, the replacement cost percentage can be identified as follows:

Replacement⁢cost⁢percent⁢reduction=(release⁢pric⁢e-ASP)r⁢e⁢lease⁢price*100
where the release price can be a retail price of the consumer electronics device3when the consumer electronics device3was first launched and where ASP can be an average selling price of the consumer electronics device3on a secondary market. ASP can be updated monthly or at some other periodic interval. In some embodiments, the method800can factor additional variables into the replacement cost percentage, such as months since the launch date, device attributes, seasonal effects, macro variables, and worldwide or geographical calamities (e.g. political turmoil that affects trade or a typhoon in Asia that halts trading, thereby impacting a supply of consumer electronics devices in North America), each of which can be assigned a coefficient and incorporated into the equation used for identifying the replacement cost percentage.

Then, the method800can include comparing the replacement cost percentage to a threshold value as in804. When the replacement cost percentage exceeds the threshold value, the method800can include extending a discounted insurance offering to the user1, as in806. For example, if a smartphone was purchased on Jan. 1, 2018 for $1,000 (e.g. release price) and is valued on Dec. 1, 2019 at $300 (e.g. ASP), then the replacement cost percentage can be 70%, and the method800can offer the discounted insurance offering with a 50% discount.

Some technology for consumer electronics devices can increase a durability of the consumer electronics device3. For example, some smartphones can include organic light emitting diode (OLED) displays. In addition to higher display quality, OLED displays can have higher durability and a lower propensity for cracks and scratches. Indeed, testing has shown that an iPhone 7 having an OLED screen breaks only 6% of the time when dropped from a distance of ten feet whereas an iPhone 6 having an LCD screen breaks 74% of the time when dropped from the same distance and that the iPhone 7 has a decreased chance of damage to a back glass, a back camera, a front camera, and a loud speaker as compared to the iPhone 6. Accordingly, systems and methods disclosed herein can offer a discounted insurance plan based on device durability.

FIG.9is a flow diagram of a method900for accounting for device durability in accordance with disclosed embodiments, for example, by basing a price of an insurance offering on the device durability. As seen, the method900can include starting a risk assessment process, as in6-1. In some embodiments, the risk assessment process can include a background service that operates in conjunction with the background service described in connection withFIG.2, the event detection process described in connection withFIG.5, or the actions monitoring process described in connection withFIG.7. After starting in the risk assessment process, the method900can include determining a make and a model of the consumer electronics device3, as in6-2, for example, by referencing data stored on the consumer electronics device3, a profile of the user1stored by the protection and insurance offering system7, or a TCP/IP packet sent over the Internet. Then, the method900can include retrieving a device durability index rating associated with the make and the model from a device durability index database, as in6-3, and determining whether the device durability index rating exceeds a predetermined threshold value, as in6-4. When the device durability index rating exceeds the predetermined threshold value, as in6-4, the method900can include the protection and insurance offering system7offering a discounted rate.

In some embodiments, systems and methods disclosed herein can also include creating and populating the device durability index database with a respective device durability index rating for each of a plurality of makes and each of a plurality of models based on significant diagnostic testing of the plurality of makes and the plurality of models and aggregate data thereof. Additionally or alternatively, systems and methods disclosed herein can identify the respective device durability rating for each of the plurality of makes and each of the plurality of models from a respective part durability rating for each of a plurality of parts forming a respective device.

In some situations, the consumer electronics device3may be broken, but the user1may wish to protect remaining functional components of the consumer electronics device3.FIG.10is a flow diagram of a method1000for generating a protection plan based on device diagnostics in accordance with disclosed embodiments, for example, by generating a specialized insurance plan based on results of a diagnostics test.

As seen, the method1000can include the software application2executing a diagnostics test, as in9-2and, based on results of the diagnostics test, determining whether all components of the consumer electronics device3are functional, as in9-3. When the diagnostics test indicates that all components of the consumer electronics device3are fully functional, the method1000can include the software application2generating a report indicative thereof, and the protections and insurance offering system7can offer a standard rate insurance plan, as in9-4. However, when the diagnostics test indicates that one or more of the components of the consumer electronics device3is non-functional, the software application2can generate a report that identifies an exclusionary list that includes the components of the consumer electronics device3that failed the diagnostics test, as in9-5. Then, the method1000can include the software application2transmitting the exclusionary list to the protections and insurance offering system7, which can use the exclusionary list to reference a protection offering database, as in5-3, and provide a specialized offer with exclusions, as in9-6.

For example, if the diagnostics test reveals that a front camera of the consumer electronics device3is non-functional, then the protection and insurance offering system7can offer an insurance plan that excludes protection of the front camera and is discounted accordingly. In some embodiments, an amount of a discount can be based on a percentage of insurance claims that claim damage to such a non-functional component (e.g. the front camera). For example, if relatively few insurance claims claim damage to the front camera (e.g. 10%), then a price of the insurance plan can be discounted a relatively small amount (e.g. 5% discount). Alternatively, if a screen of the consumer electronics device3is cracked and, therefore, the non-functional component, and a relatively high number of insurance claims claim damage to the screen (e.g., 75%), then the discount can be higher (e.g. 45% discount).

In some embodiments, the discount can be based on a relative value of the non-functional component toward an overall value of the consumer electronics device3. Additionally or alternatively, in some embodiments, the discount can be based on a price to repair the non-functional component. For example, if the price to repair the non-functional component is higher than functioning components of the consumer electronics device3, then the discount can be higher than if the price to repair the non-functional component were lower than the functioning components.

The systems and methods disclosed herein present a substantial advancement over the prior art by identifying a price to insure a consumer electronics device based on data from sensors of the consumer electronics device itself. Furthermore, the systems and methods disclosed herein improve upon the prior art by continually monitoring and detecting data related to risk-creating events and actions of the consumer electronics device, the health of the consumer electronics device, and the overall condition of the consumer electronics device via a software application executing and operating in the background of the consumer electronics device without disrupting other functions or applications executed by the consumer electronics device. Finally, the systems and methods disclosed herein are an improvement to the prior art because the systems and methods disclosed herein interact with the sensors of the consumer electronics device itself, thereby facilitating the consumer electronics device regularly monitoring its own health to protect itself from damage.

Although a few embodiments have been described in detail above, other modifications are possible. For example, the logic flows described above do not require the particular order described or sequential order to achieve desirable results. Other steps may be provided, steps may be eliminated from the described flows, and other components may be added to or removed from the described systems. Other embodiments may be within the scope of the invention.

From the foregoing, it will be observed that numerous variations and modifications may be effected without departing from the spirit and scope of the invention. It is to be understood that no limitation with respect to the specific system or method described herein is intended or should be inferred. It is, of course, intended to cover all such modifications as fall within the spirit and scope of the invention.