Abstract: An automated tread analysis system and methods for using are described. The automated tread analysis system may include a sensing system having a plurality of cameras providing a plurality of sequential two-dimensional images. The automated tread analysis system may also include an analysis system configured to provide at least one surface model of a first object via photogrammetry using the plurality of sequential two-dimensional images. The automated tread system may execute processing software reading data corresponding to the at least one surface model of the first object. The surface model may correspond to a current condition of the first object. The processing software executed by the user system may analyze the at least one surface model of the first object and provide at least one indicative wear metric based on the analysis of the surface model of the first object.

Abstract: An automated tread analysis system and methods for using are described. The automated tread analysis system may include a sensing system having a plurality of cameras providing a plurality of sequential two-dimensional images. The automated tread analysis system may also include an analysis system configured to provide at least one surface model of a first object via photogrammetry using the plurality of sequential two-dimensional images. The automated tread system may execute processing software reading data corresponding to the at least one surface model of the first object. The surface model may correspond to a current condition of the first object. The processing software executed by the user system may analyze the at least one surface model of the first object and provide at least one indicative wear metric based on the analysis of the surface model of the first object.

Abstract: An automated tread analysis system and methods for using are described. The automated tread analysis system may include a sensing system having a plurality of cameras providing a plurality of sequential two-dimensional images. The automated tread analysis system may also include an analysis system configured to provide at least one surface model of a first object via photogrammetry using the plurality of sequential two-dimensional images. The automated tread system may execute processing software reading data corresponding to the at least one surface model of the first object. The surface model may correspond to a current condition of the first object. The processing software executed by the user system may analyze the at least one surface model of the first object and provide at least one indicative wear metric based on the analysis of the surface model of the first object.

Abstract: An automated tread analysis system and methods for using are described. The automated tread analysis system may include a sensing system having a plurality of cameras providing a plurality of sequential two-dimensional images. The automated tread analysis system may also include an analyzing system configured to provide at least one surface model of a first object via photogrammetry using the plurality of sequential two-dimensional images. The automated tread system may execute processing software reading data corresponding to the at least one surface model of the first object. The surface model may correspond to a current condition of the first object. The processing software executed by the user system may analyze the at least one surface model of the first object and provide at least one indicative wear metric based on the analysis of the surface model of the first object.

Abstract: An automated tread analysis system and methods for using are described. The automated tread analysis system may include a sensing system having a plurality of cameras providing a plurality of sequential two-dimensional images. The automated tread analysis system may also include an analyzing system configured to provide at least one surface model of a first object via photogrammetry using the plurality of sequential two-dimensional images. The automated tread system may execute processing software reading data corresponding to the at least one surface model of the first object. The surface model may correspond to a current condition of the first object. The processing software executed by the user system may analyze the at least one surface model of the first object and provide at least one indicative wear metric based on the analysis of the surface model of the first object.

Abstract: A method for assigning of geocodes to addresses identifying entities on a street includes ordering a set of entity geocodes associated with a street segment based on ordering criteria such as the linear distance of the geocodes along the length of the street segment. Assignable addresses are matched with the ordered geocodes creating a correspondence between a numerical order of the assignable addresses and a linear order of the ordered set of geocodes, consistent with address range direction data and street segment side data. The geocodes may be implicit or explicit, locally unique or globally unique. The set of entity geocodes may be obtained by identifying image features in aerial imagery corresponding to streets and buildings and correlating this information with data from a street map database.

Abstract: A method for assigning of geocodes to addresses identifying entities on a street includes ordering a set of entity geocodes associated with a street segment based on ordering criteria such as the linear distance of the geocodes along the length of the street segment. Assignable addresses are matched with the ordered geocodes creating a correspondence between a numerical order of the assignable addresses and a linear order of the ordered set of geocodes, consistent with address range direction data and street segment side data. The geocodes may be implicit or explicit, locally unique or globally unique. The set of entity geocodes may be obtained by identifying image features in aerial imagery corresponding to streets and buildings and correlating this information with data from a street map database.

Abstract: An email mapper to identify sender's U.S. postal address by detecting in the sender's email address, email message, or the sender's posting whether the sender's name and address are identifiable in the signature line of the sender's email and searching one or more electronic white pages to identify the sender's name and postal address. Wherein if no signature line is detected in the sender's email further filtering the sender's email to identify the geographic locale of the sender and then searching against one or more electronic datases, such as a business database, an ISP database, an electronic whitepage, or email mapper's generated relational database, to identify and generate a list of one or more USPS addresses associated with the sender's email address, name and locale of the sender.