Systems and methods for using variable ink detection to detect environmental exposure on products
AssigneeCVS Pharmacy, Inc.
InventorDwayne Kurfirst
Life of this patent
Estimating the term…
Abstract
A method is provided, the method including obtaining one or more vision machine learning—artificial intelligence (ML-AI) models associated with a product and obtaining one or more images of a product label of the product. The product label indicates a variable ink that changes colors based on environmental aspects. The method also includes determining condition information indicating a status of the product label based on the one or more vision ML-AI models and the one or more images of the product label indicating the variable ink, and outputting an indicator indicating the status of the product label based on the condition information.
Claims20
A system, comprising:
- one or more vision capturing devices configured to obtain one or more images of a product label of a product, wherein the product label indicates a variable ink that changes colors based on environmental aspects;
- one or more sensor system computing devices configured to:
- access, via an enterprise computing system, one or more first machine learning-artificial intelligence (ML-AI) models associated with the product;
- determine condition information indicating a status of the product label based on the one or more first ML-AI models, a determination of at least one environmental condition the product label was exposed to from a plurality of potential environmental conditions, and the one or more images of the product label indicating the variable ink;
- and
- provide, to a user device, an indicator indicating the status of the product label based on the condition information;
- and
- the user device, wherein the user device is configured to:
- receive the indicator indicating the status of the product label;
- and
- cause display of a prompt indicating a condition of the product.
A method, comprising:
- obtaining one or more vision machine learning-artificial intelligence (ML-AI) models associated with a product;
- obtaining one or more images of a product label of the product, wherein the product label indicates a variable ink that changes colors based on environmental aspects;
- determining condition information indicating a status of the product label based on the one or more vision ML-AI models, a determination of at least one environmental condition the product label was exposed to from a plurality of potential environmental conditions, and the one or more images of the product label indicating the variable ink;
- and
- outputting an indicator indicating the status of the product label based on the condition information.
A non-transitory computer-readable medium having processor-executable instructions stored thereon, wherein the processor-executable instructions, when executed by one or more controllers, facilitate:
- obtaining one or more vision machine learning-artificial intelligence (ML-AI) models associated with a product;
- obtaining one or more images of a product label of the product, wherein the product label indicates a variable ink that changes colors based on environmental aspects;
- determining condition information indicating a status of the product label based on the one or more vision ML-AI models, a determination of at least one environmental condition the product label was exposed to from a plurality of potential environmental conditions, and the one or more images of the product label indicating the variable ink;
- and
- outputting an indicator indicating the status of the product label based on the condition information.
Dependencies are inferred from the claim text.