Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for detecting that a mobile device has a cracked screen, and reporting the status of the screen, working or not, so that appropriate action may be taken by a third party. In one embodiment, the data obtained by testing of the mobile device is encrypted to prevent tampering or spoofing by the user of the mobile device, and is suitably decrypted by the recipient or software running within a server.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for detecting that a mobile device has a cracked screen, and reporting the status of the screen, working or not, so that appropriate action may be taken by a third party. In one embodiment, the data obtained by testing of the mobile device is encrypted to prevent tampering or spoofing by the user of the mobile device, and is suitably decrypted by the recipient or software running within a server.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

Abstract: There are provided systems and methods for extensible device assessment and dynamic policy configuration, where a plurality of devices associated with a primary device owner can be covered in a dynamically adjustable insurance policy. In one embodiment, a primary device is tested and assessed for insurability, then additional related devices may be discovered devices through network connections established through communications interfaces with the primary device (as well as direct inputs from the device owner. Then once devices are discovered and more fully diagnosed for operational status, insurance/warranty options are assessed, and a list of devices, coverage options, and cost is provided to the device owner. As such, comprehensive insurance with known and manageable risk may be provided for a collection of devices, not all of which may be presented to an insurance agent in person.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

Abstract: There is presented a system and method for detecting mobile device fault conditions, particularly detecting defects in a display or housing of a mobile device. One or more cameras included within the mobile device are used with a reflecting surface in a test fixture to obtain properly aligned and formatted images of the external housing and display of the mobile device, and interactive guidance assists with placement and execution of diagnostics. A remote server conducts further analysis of the captured images, and then defect status may be returned to and displayed upon the mobile device screen.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for detecting that a mobile device has a cracked screen, and reporting the status of the screen, working or not, so that appropriate action may be taken by a third party. In one embodiment, the data obtained by testing of the mobile device is encrypted to prevent tampering or spoofing by the user of the mobile device, and is suitably decrypted by the recipient or software running within a server.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for detecting that a mobile device has a cracked screen, and reporting the status of the screen, working or not, so that appropriate action may be taken by a third party. In one embodiment, the data obtained by testing of the mobile device is encrypted to prevent tampering or spoofing by the user of the mobile device, and is suitably decrypted by the recipient or software running within a server.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for detecting a that a mobile device has a cracked screen, and reporting the status of the screen, working or not, so that appropriate action may be taken by a third party. In one embodiment, the data obtained by testing of the mobile device is encrypted to prevent tampering or spoofing by the user of the mobile device, and is suitably decrypted by the recipient or software running within a server.