IP Library › Granted Patent US 10,940,452
Granted Patent B2
US 10,940,452 · App. 16/409,285 · Granted Mar 9, 2021

Automated paint machine with custom order capability

Inventors: Jeremy L. Velten (Bella Vista, AR); Robert Taylor (Rogers, AR)
Assignee: Walmart Apollo, LLC
B01F13/1061B44D3/003G06Q20/20G06Q30/0601
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Quick Facts
Patent No.
US 10,940,452
App. No.
16/409,285
Granted
Mar 9, 2021
Kind
B2
Abstract

Embodiments of a vending system are disclosed for delivering custom paints, permitting automated paint mixing and dispensing without the need for assistance. Customizable paint may be ordered locally or remotely, possibly with improved color matching that leverages color references to compare a known color with a color as observed within an image provided by the customer. Dimensional estimates of the surface to be painted may be possible using scale references within an image provided by the customer, to provide quantity suggestions. Common consumer products, having packaging of known color and dimensions, placed within the image provided by the customer may provide both color references and scale references. A preview function may replicate the image provided by the customer, but indicating the new paint color, as adjusted according to an analysis of one or more color references.

Claims (57)

1. A system for automated paint dispensing, implemented on at least one processor, the system comprising:

a processor; and

a non-transitory computer-readable medium storing instructions that are operative when executed by the processor to:

receive an image of a scene comprising a reference object;

identify the reference object;

determine a true color of the reference object;

determine a color difference between an observed color of the reference object and the true color of the reference object;

provide a preview of a finished project using a proposed paint mixture, the preview using a color adjustment based on the determined color difference; and

dispense paint with additives included according to the proposed paint mixture.

2. The system of claim 1 wherein the instructions are further operative to:

provide a suggestion of the reference object.

3. The system of claim 1 wherein the instructions are further operative to:

determine a coverage need for the proposed paint mixture using an area measurement of a surface to be painted.

4. The system of claim 1 wherein the instructions are further operative to:

suggesting parameters for the proposed paint mixture.

5. The system of claim 4 wherein the instructions are further operative to:

use a wizard to generate the suggested paint parameters.

6. The system of claim 5 wherein the suggested paint parameters include one or more parameters selected from a list consisting of:

application, brand, sheen, color, additives, and quantity.

7. The system of claim 1 wherein the instructions are further operative to:

receive delivery or notification preferences.

8. A method for automated paint dispensing, implemented on at least one processor, the method comprising:

receiving an image of a scene comprising a reference object;

identifying the reference object;

determining a true color of the reference object;

determining a color difference between an observed color of the reference object and the true color of the reference object;

providing a preview of a finished project using a proposed paint mixture, the preview using a color adjustment based on the determined color difference; and

dispensing paint with additives included according to the proposed paint mixture.

9. The method of claim 8 further comprising:

providing a suggestion of the reference object.

10. The method of claim 8 further comprising:

determining a coverage need for the proposed paint mixture using an area measurement of a surface to be painted.

11. The method of claim 8 further comprising:

suggesting parameters for the proposed paint mixture.

12. The method of claim 11 further comprising:

using a wizard to generate the suggested paint parameters.

13. The method of claim 12 wherein the suggested paint parameters include one or more parameters selected from a list consisting of:

application, brand, sheen, color, additives, and quantity.

14. The method of claim 8 further comprising:

receiving delivery or notification preferences.

15. One or more computer storage devices having a first computer-executable instructions stored thereon for automated paint dispensing, which, on execution by a computer, cause the computer to perform operations comprising:

receiving an image of a scene comprising a reference object;

identifying the reference object;

determining a true color of the reference object;

determining a color difference between an observed color of the reference object and the true color of the reference object;

providing a preview of a finished project using a proposed paint mixture, the preview using a color adjustment based on the determined color difference; and

dispensing paint with additives included according to the proposed paint mixture.

16. The one or more computer storage devices of claim 15 wherein the operations further comprise:

providing a suggestion of the reference object.

17. The one or more computer storage devices of claim 15 wherein the operations further comprise:

determining a coverage need for the proposed paint mixture using an area measurement of a surface to be painted.

18. The one or more computer storage devices of claim 15 wherein the operations further comprise:

suggesting parameters for the proposed paint mixture.

19. The one or more computer storage devices of claim 18 wherein the operations further comprise:

using a wizard to generate the suggested paint parameters.

20. The one or more computer storage devices of claim 19 wherein the suggested paint parameters include one or more parameters selected from a list consisting of:

application, brand, sheen, color, additives, and quantity.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 24, 2019
From: VELTEN, JEREMY L.; TAYLOR, ROBERT
To: WALMART APOLLO, LLC
Reel/Frame 049275/0104 →
Continuity (2)
Provisional Application 62681338 · Jun 6, 2018
Related Publication 20190374914A1 · Dec 12, 2019
Cited By (1)
US 12,459,290