A method of operation for a computer system comprising: receiving a tire image of a target tire ; generating a composite image based on: a captured image of the target tire , wherein the captured image of the target tire is an image of the target tire captured at an earlier time and from a different angle, perspective view, orientation, or a combination thereof than the received tire image , and the received tire image , wherein the composite image provides additional information for the target tire that can be utilized for analysis; determining an analyzability for the target tire based on a wear model including the tire image by: determining a depth measurability for a target tread depth based on the composite image , and generating the analyzability based on the depth measurability ; analyzing a wear level for the target tire based on whether the analyzability meets or exceeds a usable threshold ; generating an augmented reality image for the wear level for the target tire , wherein the augmented reality image is a computer-implemented image that is superimposed or overlaid onto the tire image or the captured image or the composite image or a real view of the target tire and includes rendering in color, text, graphical images, animation, or a combination thereof to provide information about the target tire or aspects or attributes of the target tire ; and communicating the augmented reality image for displaying the wear level for the target tire . receiving a tire image of a target tire ; generating a composite image based on: a captured image of the target tire , wherein the captured image of the target tire is an image of the target tire captured at an earlier time and from a different angle, perspective view, orientation, or a combination thereof than the received tire image , and the received tire image , wherein the composite image provides additional information for the target tire that can be utilized for analysis; a captured image of the target tire , wherein the captured image of the target tire is an image of the target tire captured at an earlier time and from a different angle, perspective view, orientation, or a combination thereof than the received tire image , and the received tire image , wherein the composite image provides additional information for the target tire that can be utilized for analysis; determining an analyzability for the target tire based on a wear model including the tire image by: determining a depth measurability for a target tread depth based on the composite image , and generating the analyzability based on the depth measurability ; determining a depth measurability for a target tread depth based on the composite image , and generating the analyzability based on the depth measurability ; analyzing a wear level for the target tire based on whether the analyzability meets or exceeds a usable threshold ; generating an augmented reality image for the wear level for the target tire , wherein the augmented reality image is a computer-implemented image that is superimposed or overlaid onto the tire image or the captured image or the composite image or a real view of the target tire and includes rendering in color, text, graphical images, animation, or a combination thereof to provide information about the target tire or aspects or attributes of the target tire ; and communicating the augmented reality image for displaying the wear level for the target tire . <EOS>