OMB Individually Reported

Intelligent Document Processing (IDP) for I-539 Form Digitization

Low riskExact public inventory row

Description

Before the use case, all pages of a I-539 application were scanned and stored as a single document in the content management system, delaying adjudication and not meeting National Archives and Records Administration (NARA) standards. The tool uses a learning model to identify, classify, and separate individual documents into their component parts for storage.

Detailed example

Input - one digital file comprised of all pages of a 539 benefit application. Output - multiple digital files comprised of the individual documents submitted as part of the 539 benefit application. These will include the 539 form, any other USCIS forms, and image files of other supporting documents such as Passports, Driver's license, Marriage Certificate, Bank Statement, etc. All pages of the original digital file are accounted for and stored. Any pages not identified by the tool are referred to a human for document type resolution.

AI / analytics pattern

Computer Vision: AI that processes and interprets visual data (e.g., images and videos).

Automation level / stage

c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

Expected benefit

IDP for the I-539 makes use of an AI-enhanced tool to identify, categorize, and create separate images for each document type submitted as part of the 539 benefit application. Prior to implementation of this use case, all pages of a 539 application were scanned and stored as a single document in the content management system. The benefit is reduced case processing time for adjudicators by identifying and classifying supporting documents for ease of use. An additional benefit is to bring digital images into compliance with NARA standards.

Controls / human review

ATO: Yes; PIA: https://www.dhs.gov/publication/dhsuscispia-079-content-management-services-cms

Data needed

CMS/STACKS test data is used to train the model. This data is comprised of digital images of blank USCIS forms and common supporting forms (Marriage License, Driver's License, Passport, ect.) generated using fake information such as Mickey Mouse and Donald Duck in place of PII.