Visual Code Document Linking for Person Identification
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Solution Overview
Problem
Existing methods for recording data and documents for a person, especially when the documents do not originate from a service provider, face challenges in accurately linking documents to the correct individual without a unique person identifier printed on them.
Innovation Solution
A computer-implemented method using a visual code generated in a computer system to encode reference information for identifying data objects, which is captured by a mobile communication device and used to create a data package including document images, allowing secure transfer and storage in a computer system linked to the person's identifier.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a person identifier is printed on paper documents before mailing to the service provider, then the documents can be properly assigned to the correct person, but this approach is neither practical nor feasible for documents that do not originate at the service provider
Solution Approach 1:
The patent introduces a visual code (QR code or barcode) as an intermediary element that bridges the gap between documents without person identifiers and the computer system. The visual code contains encoded reference information that enables automatic identification and linking, serving as a mediator that works for both internally generated and externally sourced documents without requiring manual intervention or pre-printing of person identifiers on all documents
Solution Approach 2:
The patent creates a copy of the person identifier information by encoding it within a visual code that can be attached to or associated with documents. Instead of printing the actual person identifier on every document, the system creates a visual code copy containing reference information that points to the person's data in the computer system, enabling indirect identification and linking
2Loss of information
If paper documents are sent by mail to a remote service provider for conversion to electronic representations, then documents can be stored in the computer system, but documents without person identifiers cannot be properly linked to the correct person
Solution Approach 1:
The patent replaces the mechanical process of manual document handling, sorting, and linking with an automated optical recognition system. Instead of manually processing papers and matching them to person identifiers, the system uses visual code recognition technology to automatically capture, extract, and link document information to the correct person in the computer system, eliminating manual intervention and potential errors
Solution Approach 2:
The patent performs preliminary action by pre-encoding reference information into visual codes that are associated with person data in the computer system before documents arrive. This allows the system to be pre-prepared to automatically recognize and link incoming documents with the correct persons, eliminating the need for manual matching processes when documents are received
Data Source
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Figure 5
AI summary
In a computer system (1), generated (S2) is a visual code which encodes reference information for identifying a data object linked to a person. Using a camera of a mobile communication device (2), the reference information encoded in the visual code is captured from a visual representation of the visual code and stored (S5) in the mobile communication device (2). In the mobile communication device (2), generated (S8) is a data package which includes the captured reference information and an image (23) of a document (4) of the person. The data package is transferred (S9) from the mobile communication device (2) to the computer system (1). In the computer system (1), the image of the document (4) is stored (S11) linked to the data object (10), defined by the reference information received in the data package.