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US 11,386,540 B2Granted
Image based counterfeit detection
Assignee3M Innovative Properties Company
InventorsJennifer F. Schumacher, James B. Snyder, Nicholas A. Asendorf
Life of this patent
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Abstract
Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm. The computer-vision features of a test sample are evaluated by the trained classification algorithm to identify the test sample.
Claims4
An anti-counterfeiting system comprising:
- a graphical user interface (GUI) provided to a mobile device, the mobile device being capable of obtaining, via the GUI, one or more digital images for a sample to be tested;
- a computation component functionally connected to the mobile device, configured to receive the images from the GUI, and process the images to extract computer-vision features from the images, comprising to extract one or more patches for each image and convert the patch into a patch feature vector for each patch, the patch feature vector representing a material property of the respective patch;
- and
- a trained classification algorithm associated with the computation component, the trained classification algorithm being configured to evaluate the computer-vision features of the sample to identify the sample, and return a decision to the GUI of the mobile device.
1 more element
Dependencies are inferred from the claim text.