US 12,272,167 B2
Systems and methods for automated acceptance of form documents
Thy Timothy Tran, Vancleave, MS (US)
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed on Oct. 14, 2022, as Appl. No. 17/966,336.
Claims priority of provisional application 63/413,490, filed on Oct. 5, 2022.
Prior Publication US 2024/0119752 A1, Apr. 11, 2024
Int. Cl. G06V 30/413 (2022.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01); G06V 30/412 (2022.01)
CPC G06V 30/413 (2022.01) [G06V 10/82 (2022.01); G06V 30/19147 (2022.01); G06V 30/412 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for determining acceptability of a form document, the method comprising:
obtaining, via one or more processors, a form document under test of a form type;
inputting, via the one or more processors, the form document under test into an image classification model trained by:
applying a first label to a first set of images representative of form documents of the form type that are acceptable,
applying a second label to a second set of images representative of form documents of the form type that that exhibit at least one characteristic that renders the form document unacceptable, and
training a neural network using the labeled first and second sets of images such that the neural network applies the first label to input form documents that are acceptable and the second label to input form documents that exhibit at least one characteristic that renders the form document unacceptable;
detecting, via the one or more processors, that the image classification model applied the first label to the form document under test; and
accepting, via the one or more processors, the form document under test.