Form Data Metadata Extraction for Privacy and Automation
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Solution Overview
Problem
Current screen capture technologies do not allow for the capture and storage of form data with context or metadata, making it difficult to automate form population across different platforms and databases, and they fail to protect sensitive information by storing private data fields.
Innovation Solution
A method and system that detect data fields in an image, identify and store non-private data fields as metadata while protecting private data fields, allowing for the retrieval and population of forms with associated metadata to automate form filling and ensure data security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all data fields in a form are captured and stored as metadata, then complete form data is preserved for automation, but private and sensitive information is exposed and compromised
Solution Approach 1:
The patent segments form data fields into two distinct categories: public fields and private fields. Public fields are captured and stored as metadata for automation purposes, while private fields are identified and excluded from storage. This segmentation allows the system to preserve necessary form data for automation while protecting sensitive information from exposure.
2Extent of automation
If screen capture technology stores complete form data as metadata, then form automation capability is improved, but data security and privacy protection deteriorate
Solution Approach 1:
The patent extracts and identifies private data fields from the form metadata before storage. By separating private fields from public fields and excluding them from the stored metadata, the system enables form automation using only the necessary public data while maintaining data security and privacy protection.
3Quantity of substance
If traditional screen capture stores all form contents, then comprehensive data recording is achieved, but storage space and data processing complexity increase
Solution Approach 1:
The patent applies local quality by treating different data fields differently based on their sensitivity and necessity. Public fields are captured and stored as metadata to enable automation, while private fields are identified and excluded. This selective approach reduces overall storage requirements and simplifies data processing complexity by focusing only on essential form data.
Data Source
AI summary
Processing a form in an image is provided. A plurality of data fields is detected within the form in the image. One or more of the data fields that contain private data and a plurality of the data fields that do not contain private data are detected. Contents of the plurality of data fields that do not contain private data are stored as metadata for the image and contents of the one or more data fields that contain private data are not stored as metadata for the image.