Abstract:
Methods and systems for identifying an unidentified plumbing supply product are provided. According to certain aspects, an application executing on an electronic device may be configured to capture image data encoding an image of the unidentified plumbing supply product therein. The application may cause the electronic device to transmit the image data to an identification server. The identification server may analyze the image data to determine the unidentified plumbing supply product encoded in the image data matches a known plumbing supply product in a plumbing supply products database. The identification server may then transmit an indication to the electronic device that the unidentified plumbing supply product was successfully identified. The identification of the unidentified plumbing supply product may be used to process and/or subrogate an insurance claim.
Abstract:
Systems and methods for analyzing image data to identify cabinet products are disclosed. A computer-implemented method may include receiving, from an electronic device via a network connection, at least one digital image depicting a cabinet. The method also may include analyzing, by one or more processors, the at least one digital image to determine a first set of characteristics of the cabinet. Additionally, the method may include accessing, by the one or more processors from memory, a second set of characteristics corresponding to a plurality of cabinet products and comparing the first set of characteristics to the second set of characteristics to identify a cabinet product of the plurality of cabinet products that matches the cabinet. Further, the method may include transmitting, to the electronic device via the network connection, an indication of the cabinet product.
Abstract:
Methods and systems for identifying an unidentified plumbing supply product are provided. According to certain aspects, an application executing on an electronic device may be configured to capture image data encoding an image of the unidentified plumbing supply product therein. The application may cause the electronic device to transmit the image data to an identification server. The identification server may analyze the image data to determine the unidentified plumbing supply product encoded in the image data matches a known plumbing supply product in a plumbing supply products database. The identification server may then transmit an indication to the electronic device that the unidentified plumbing supply product was successfully identified. The identification of the unidentified plumbing supply product may be used to process and/or subrogate an insurance claim.
Abstract:
In a computer-implemented method of roofing material identification, image data corresponding to one or more images of roofing materials may be received. The image data may be processed to determine pertinent characteristics of the roofing materials. The determined characteristics and a characteristics database storing data indicative of associations between a plurality of roofing material products and characteristics of the plurality of roofing material products, may be used to identify a roofing material product associated with the pertinent characteristics. An indication of the identified roofing material product may be provided (e.g., to facilitate claim processing).
Abstract:
Systems and methods are provided for automating property assessment using probable roof loss confidence scores. More particularly, the systems and methods may generate a base-line probable roof loss confidence score based upon buildings, roof, weather, hail, and climate data. The systems and methods may predict a specific event and a set of characteristics of the specific event. The systems and methods may predict a level of roof damage and a cost of roof damage based upon the predicted level of roof damage. The systems and methods may adjust a risk-related factor, and may further adjust policy parameters based upon the risk-related factor. A probable roof loss confidence score may be generated, as well as property insurance claims data or property insurance loss mitigation data based upon probable roof loss confidence score data.
Abstract:
Apparatuses, systems and methods are provided for generating enterprise data relating to roof damage associated with weather and hail data. The apparatuses, systems and methods may determine aspects of a proposed service related to roof damage (e.g., damage extent, repair estimates, or repair timing) based upon the enterprise data and the base-line probable roof loss confidence scores. The apparatuses, systems and methods may generate probable roof loss confidence score data based upon the base-line probable roof loss confidence scores, weather event data and hail event data. The apparatuses, systems and methods may determine aspects of a proposed service related to roof damage (e.g., damage extent, repair estimates, or repair timing) based upon the enterprise data and the probable roof loss confidence score.
Abstract:
A computer-implemented method for identifying whether tread of a tire of a vehicle is insufficient is presented. Image data corresponding to at least one image of the tire of the vehicle may be captured using an image sensor. The image data may be processed to determine at least one indication of a tread wear of the tire. At least one of the at least one indication of the tread wear may be analyzed based on tread wear data corresponding to the tire, with the tire being of a particular type. The tread wear data corresponding to the tire may be available to one or more processors that perform the analyzing from a provider of tires of the particular type. Based on the analyzing of the at least one of the at least one indication of the tread wear, it may be identified whether the tread of the tire is insufficient.
Abstract:
Systems and methods for analyzing image data to identify cabinet products are disclosed. A computer-implemented method may include receiving, from an electronic device via a network connection, at least one digital image depicting a cabinet. The method also may include analyzing, by one or more processors, the at least one digital image to determine a first set of characteristics of the cabinet. Additionally, the method may include accessing, by the one or more processors from memory, a second set of characteristics corresponding to a plurality of cabinet products and comparing the first set of characteristics to the second set of characteristics to identify a cabinet product of the plurality of cabinet products that matches the cabinet. Further, the method may include transmitting, to the electronic device via the network connection, an indication of the cabinet product.
Abstract:
Systems and methods for analyzing image data to identify cabinet products are disclosed. A computer-implemented method may include receiving, from an electronic device via a network connection, at least one digital image depicting a cabinet. The method also may include analyzing, by one or more processors, the at least one digital image to determine a first set of characteristics of the cabinet. Additionally, the method may include accessing, by the one or more processors from memory, a second set of characteristics corresponding to a plurality of cabinet products and comparing the first set of characteristics to the second set of characteristics to identify a cabinet product of the plurality of cabinet products that matches the cabinet. Further, the method may include transmitting, to the electronic device via the network connection, an indication of the cabinet product.
Abstract:
Apparatuses, systems and methods are provided for generating a base-line probable roof loss confidence score. More particularly, apparatuses, systems and methods are provided for generating a base-line probable roof loss confidence score based on hail data. The apparatuses, systems and methods may generate a probable roof loss confidence score. The apparatuses, systems and methods may generate verified probable roof loss confidence score data. The apparatuses, systems and methods may generate property insurance underwriting data based on probable roof loss confidence score data. The apparatuses, systems and methods may generate property insurance claims data based on probable roof loss confidence score data. The apparatuses, systems and methods may generate property insurance loss mitigation data based on probable roof loss confidence score data.