Document Camera Video Processing for Incomplete Entry Detection
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Solution Overview
Problem
Users may fill in information incompletely due to various circumstances or excessive entry fields in document filling procedures, leading to potential errors or incomplete submissions.
Innovation Solution
An information processing apparatus equipped with a processor that captures a video of a document and outputs unfilled entries, utilizing a document camera, user interface, and processing unit to detect and highlight incomplete fields, allowing users to fill in missing information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users fill in many entry fields in a document, then the document contains more complete information, but the likelihood of filling omission increases
Solution Approach 1:
The system captures video of the document, detects entry fields using OCR and image processing, and provides feedback by highlighting unfilled entries in red and displaying a completion list. This feedback mechanism helps users verify they have filled all required fields, directly addressing the problem of filling omission in complex documents with many entries.
Solution Approach 2:
The system enables users to independently verify their own document completion status through video feedback and automated detection, without requiring external review. Users can see which fields are filled and which are missing, allowing them to self-correct omissions before submission.
2Loss of information
If the document has many entry fields, then more information can be captured, but it becomes harder for users to track completion status
Solution Approach 1:
The system uses color coding to indicate completion status: red highlights unfilled entries in the video, green indicates filled entries, and yellow marks the current processing position. This visual color system makes it easy for users to track which fields need attention among many entry fields.
Solution Approach 2:
The system adds a temporal dimension by capturing video over time and processing it frame-by-frame. This allows the system to track the dynamic state of document filling and provide ongoing feedback, transforming a static completion check into a dynamic monitoring process.
3Reliability
If users manually check each entry field for completion, then filling accuracy improves, but the time required increases
Solution Approach 1:
The system replaces manual visual inspection with automated optical character recognition (OCR) and image processing. The processor automatically detects entry fields, determines their completion status, and generates feedback, eliminating the need for users to manually check each field while maintaining high accuracy.
Solution Approach 2:
The system creates a digital copy of the document through video capture and uses this copy for automated analysis. This allows the system to process and verify document completion without affecting the original document, enabling rapid automated checking that is much faster than manual verification.
Data Source
AI summary
An information processing apparatus includes a processor configured to: acquire a video captured by photographing a side of a document where an entry is filled; and output an unfilled entry of the document in the video.