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, 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.