On-Image Navigation Guide for Direct Table Data Capture
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Solution Overview
Problem
Existing image analysis and feature extraction technologies require users to interact extensively with both document images and data entry forms, leading to inefficiencies and increased time requirements, especially when dealing with large documents containing extensive table data.
Innovation Solution
The implementation of on-image navigation and direct image-to-data storage table data capture systems, which utilize an on-image navigation guide overlaying the document image to allow users to capture table data directly from the image without needing to interact with the data entry form.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users interact with both document images and data entry forms to capture table data, then data capture can be performed, but user interaction time and complexity increase significantly
Solution Approach 1:
The patent merges the document image display and data entry form into a single integrated interface. The data entry form is overlaid directly on top of the document image, allowing users to capture table data by simply clicking on cells in the image while the corresponding form fields are automatically populated. This eliminates the need for users to switch between separate document viewing and data entry interfaces, significantly reducing interaction time and complexity.
Solution Approach 2:
The patent introduces an intermediary layer - the overlaid data entry form with automatic field population capability - that mediates between the document image and the underlying data storage system. When users interact with table cells in the image, the intermediary automatically maps and populates the corresponding form fields, reducing manual data entry operations while maintaining accurate data capture.
2Productivity
If users manually transfer data from document images to data entry forms, then data can be captured, but the number of keystrokes and manual operations increases
Solution Approach 1:
The system performs preliminary actions by automatically detecting table structures and populating form fields before user input is required. The overlaid form is pre-configured with field mappings to corresponding table cells, and the system proactively transfers data from the document image to the appropriate form fields as the user navigates through the table, eliminating the need for manual data transfer operations.
Solution Approach 2:
The data capture system performs self-service by automatically detecting table boundaries, cell positions, and data content from the document image, then autonomously populating the corresponding form fields. This self-service capability reduces the burden on users to manually copy and paste data, as the system handles the data transfer and field population automatically based on user navigation actions.
Data Source
AI summary
An on-image navigation guide can be generated utilizing coordinates of table data of a table in a document image. The on-image navigation guide enables a user to populate a data entry form with the table data by interacting directly with the document image. The data entry form is configured with the same number of columns as the table and the document image and the data entry form share the same data structure. The on-image navigation guide is presented on top of the document image. As a user navigates the document image, a focus point of the on-image navigation guide moves from table cell to table cell, providing an immediate visual feedback on what is captured in a corresponding data entry field. The on-image navigation guide includes an on-image context menu and a pin through which the user can make adjustments and/or corrections without leaving the document image.