Person Document Recognition — Electronic Military Registration Document
Overview
The Person Document Recognition feature supports importing data from the Electronic Military Registration Document (eVOD). In this scenario, the system uses Azure Content Understanding to recognize document fields and then additionally processes the embedded QR code when it is present in the analyzer result.
For the general Azure setup and the base recognition flow, see Person Document Recognition.
How eVOD import works
After the user uploads the document, the system runs two sequential stages:
- OCR recognition through Azure Content Understanding to extract visible document fields.
- Embedded QR processing when the analyzer returns the
QrCodefield.
This approach combines:
- the fields printed directly on the document;
- the military data available only inside the QR payload.
Prerequisites
This scenario requires:
- configured Azure Content Understanding;
- an eVOD analyzer created in Azure AI Foundry;
- analyzer assignment through the scenario or the person document type;
- populated master data used for value mapping.
Pay special attention to these directories and code tables:
- Personal Information Codes with group Military Rank;
- SMA Military Dismissal Reason;
- Personal Information Codes with group Militaty Duty Relation;
- General Directory with type Military Office;
- General Directory with type SMA Military Service Fitness.
If a required value is missing, some fields are skipped or the military-data update from QR stops with an error.