# US 12,602,937 B2 · Systems, methods, and interfaces for identifying coating surfaces > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,602,937 B2 - Document ID: US12602937B2 - Status: Granted - Kind: B2 - Application number: 18/251,561 - Filed: 2021-10-12 - Published: 2024-01-11 - Granted: 2026-04-14 - Earliest claimed: 2020-11-06 - Assignees: The Pittsburgh Paints Co. - Applicants: The Pittsburgh Paints Company - Inventors: Francis J. Groves; Kathleen M. Chrobak; William R. Wright - Web page: https://patentgrep.com/patent/US12602937B2 ## CPC - G06T 11/60: Creating or editing images; Combining images with text - G06T 7/90: Determination of colour characteristics - G06T 11/10: Texturing; Colouring; Generation of textures or colours (retouching, inpainting or scratch removal G06T5/77) - G06V 20/64: Three-dimensional [3D] objects - G06T 2200/24: involving graphical user interfaces [GUIs] - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract A computer system for dynamically parsing a digital image to identify coating surfaces can receive a user-provided input comprising an indication of a particular environment, and a user-provided digital image of an environment. The computer system can also identify, with an image recognition module, one or more objects within the user-provided digital image. Additionally, the computer system can create a modified digital image by parsing the identified objects from the user-provided digital image and identify surfaces within the modified digital image. The computer system can also identify a proposed color for the surfaces within the modified digital image and generate a colorized digital image by integrating the proposed color on at least one surface and integrating the parsed one or more objects in the modified digital image. ## Claims ### Claim 1 A computer system for dynamically parsing a digital image to identify coating surfaces, comprising: one or more processors; and one or more computer-readable media having stored thereon executable instructions that when executed by the one or more processors configure the computer system to perform at least the following: receive, through a network connection, a user-provided input comprising an indication of a particular environment; receive, through the network connection, a user-provided digital image, wherein the digital image comprises a picture of an environment and one or more objects; identify, with an image recognition module, the one or more objects within the user-provided digital image; create a modified digital image by parsing the identified one or more objects from the user-provided digital image; identify surfaces within the modified digital image; identifying at least one proposed color for the surfaces within the modified digital image, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises: obtaining data about an age of a user, accessing a color-age look-up table, wherein the color-age look-up table comprises color prevalence in association with various ages, accessing a digital architectural template look-up table, wherein the digital architectural template look-up table comprises color prevalence in association with a database subset of one or more digital architectural templates based on the data about the age of the user, identifying correlations between the color-age look-up table and the digital architectural template look-up table, and generating at least one proposed color based on the identified correlations between the color-age look-up table and the digital architectural template look-up table; and generate a colorized digital image by integrating the at least one proposed color on at least one surface and integrating the parsed one or more objects in the modified digital image. ### Claim 2 (depends on 1) The computer system of claim 1, wherein identifying, with the image recognition module, one or more objects within the user-provided digital image comprises: accessing, within a digital architectural template database, a database subset of one or more digital architectural templates for the particular environment; and mapping one or more digital architectural templates from the database subset to the one or more objects within the user-provided digital image. ### Claim 3 (depends on 2) The computer system of claim 2, wherein the image recognition module comprises a machine learning algorithm. ### Claim 4 (depends on 1) The computer system of claim 1, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises: identifying at least one color of at least one of the parsed one or more objects; and generating at least one proposed color based on the at least one identified color of at least one of the parsed one or more objects. ### Claim 5 (depends on 1) The computer system of claim 1, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises: identifying at least one color of at least one of the parsed one or more objects; organizing the parsed one or more objects by a permanence attribute with respect to the particular environment; and generating at least one proposed color based on the at least one identified colors and permanence attributes associated with the parsed one or more objects. ### Claim 6 (depends on 1) The computer system of claim 1, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises: obtaining geographic data about a user; accessing a color-geographic look-up table, wherein the color-geographic look-up table comprises color prevalence in association with various geographic regions; and generating at least one proposed color based on the geographic data about the user. ### Claim 7 A computerized method for use on a computer system comprising one or more processors and one or more computer-readable media having stored thereon executable instructions that when executed by the one or more processors configure the computer system to perform a method of dynamically parsing a digital image to identify coating surfaces, the method comprising: receiving, through a network connection, a user-provided input comprising an indication of a particular environment; receiving, through the network connection, a user-provided digital image, wherein the digital image comprises a picture of an environment and one or more objects; identifying, with an image recognition module, the one or more objects within the user-provided digital image; creating a modified digital image by parsing the identified one or more objects from the user-provided digital image; identifying surfaces within the modified digital image; identifying at least one proposed color for the surfaces within the modified digital image, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises: obtaining geographic data about a user, accessing a color-geographic look-up table, wherein the color-geographic look-up table comprises color prevalence in association with various geographic regions, accessing a digital architectural template look-up table, wherein the digital architectural template look-up table comprises color prevalence in association with a database subset of one or more digital architectural templates based on the geographic data about the user, identifying correlations between the color-geographic look-up table and the digital architectural template look-up table, and generating at least one proposed color based on the identified correlations between the color-geographic look-up table and the digital architectural template look-up table; and generating a colorized digital image by integrating the at least one proposed color on at least one surface and integrating the parsed one or more objects in the modified digital image. ### Claim 8 (depends on 7) The computerized method of claim 7, wherein identifying, with the image recognition module, one or more objects within the user-provided digital image comprises: accessing, within a digital architectural template database, a database subset of one or more digital architectural templates for the particular environment; and mapping one or more digital architectural templates from the database subset to the one or more objects within the user-provided digital image. ### Claim 9 (depends on 8) The computerized method of claim 8, wherein the image recognition module comprises a machine learning algorithm. ### Claim 10 (depends on 7) The computerized method of claim 7, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises: identifying at least one color of at least one of the parsed one or more objects; and generating at least one proposed color based on the at least one identified color of at least one of the parsed one or more objects. ### Claim 11 (depends on 7) The computerized method of claim 7, wherein identifying at least one proposed color for the surfaces within the modified image comprises: identifying at least one color of at least one of the parsed one or more objects; organizing the parsed one or more objects by a permanence attribute with respect to the particular environment; and generating at least one proposed color based on the identified colors and permanence attributes associated with the parsed one or more objects. ### Claim 12 (depends on 8) The computerized method of claim 8, wherein accessing, within a digital architectural template database, a database subset of one or more digital architectural templates for the particular environment comprises: obtaining data about an age of a user; accessing an age look-up table, wherein the age look-up table comprises one or more digital architectural templates in association with various ages; and generating the database subset of one or more digital architectural templates based on the data about the age of the user. ### Claim 13 (depends on 7) The computerized method of claim 7, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises: obtaining data about an age of a user; accessing a color-age look-up table, wherein the color-age look-up table comprises color prevalence in association with various ages; accessing a digital architectural template look-up table, wherein the digital architectural template look-up table comprises color prevalence in association with a database subset of one or more digital architectural templates based on the data about the age of the user; identifying correlations between the color-age look-up table and the digital architectural template look-up table; and generating at least one proposed color based on the identified correlations between the color-age look-up table and the digital architectural template look-up table. ### Claim 14 A computer program product comprising one or more non-transitory computer storage media having stored thereon computer-executable instructions that, when executed at a processor, cause a computer system to perform a method for dynamically parsing a digital image to identify coating surfaces, the method comprising: receiving, through a network connection, a user-provided input comprising an indication of a particular environment; receiving, through the network connection, a user-provided digital image, wherein the digital image comprises a picture of an environment and one or more objects; identifying, with an image recognition module, the one or more objects within the user-provided digital image; creating a modified digital image by parsing the identified one or more objects from the user-provided digital image; identifying surfaces within the modified digital image; identifying at least one proposed color for the surfaces within the modified digital image, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises: obtaining geographic data about a user, accessing a color-geographic look-up table, wherein the color-geographic look-up table comprises color prevalence in association with various geographic regions, accessing a digital architectural template look-up table, wherein the digital architectural template look-up table comprises color prevalence in association with a database subset of one or more digital architectural templates based on the geographic data about the user, identifying correlations between the color-geographic look-up table and the digital architectural template look-up table, and generating at least one proposed color based on the identified correlations between the color-geographic look-up table and the digital architectural template look-up table; and generating a colorized digital image by integrating the at least one proposed color on at least one surface and integrating the parsed one or more objects in the modified digital image.