Systems and methods disclosed herein relates generally to using augmented reality (AR) for visualizing recommended updates to devices proximate a structure. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. An improved home score indicia may be displayed based upon the recommended update.

A system and a method for generating semantic predictions corresponding to pixels of an input image by providing a first Convolutional Neural Network (CNN) and a second CNN, the first CNN having a selected sampling factor, s, and defining a mask that corresponds to a grid of pixels positioned s pixels apart from each other and centered on a single pixel of the grid of pixels, with an input image crop size based on the extent of the mask, and processing mage data shaped according to the input image crop to generate semantic predictions for pixels corresponding to the grid of pixel locations of the mask. The second CNN receives input image and generates semantic predictions for the input image that is at a higher pixel density than the mask.

A system utilizing artificial intelligence use and AI module to process roof data that includes image data and non-imagery data to generate at least one image input vector data structure and at least one imagery input vector data structure associated with the roof, the system comparing the at least one image input vector data structure and the at least one imagery input vector data structure to preexisting at least one preexisting imagery input vector data structure and at least one preexisting non-imagery input vector data structure to determine if a change has occurred to the roof or determine an age of the roof.

An information processing system according to an aspect includes one or more memories that store an instruction and one or more processors that execute the instruction. The one or more processors acquires risk information of a disaster related to a place where a management target managed by an administrator is present, selects one or more countermeasures for suppressing damage caused by the disaster based on the risk information, calculates a profit of the administrator which is generated in a case where at least one of the one or more countermeasures is executed, and outputs the one or more countermeasures and the profit.

Systems and methods disclosed herein relate generally to using augmented reality (AR) for receiving and displaying recommended devices proximate a structure. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. An improved home score indicia may be displayed based upon the recommended device.