Document Reading Error Extraction and List Generation
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Solution Overview
Problem
In existing lesson assistance systems, it is difficult for operators to identify and re-read documents that have been unsuccessfully scanned, especially when documents are not sorted by student identification number, leading to inefficiencies in document retrieval and error detection.
Innovation Solution
An information processing apparatus that includes an extraction unit to identify documents with reading errors and a generation unit to create a list with document serial numbers, allowing for easy identification and re-reading of unsuccessful scans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If documents are read one by one from a bundle without sorting by student identification number, then the reading process is simple and fast, but it becomes difficult to identify and retrieve documents with reading errors
Solution Approach 1:
The patent extracts only the necessary information (document serial number and reading status) from the complete document set and presents it in a simplified list format. This allows operators to quickly identify problematic documents without reviewing all documents in detail, thus maintaining high reading speed while improving error detection efficiency.
Solution Approach 2:
The system provides feedback by generating a list that indicates which documents were read successfully and which were not. This feedback mechanism enables operators to quickly locate and re-read only the problematic documents, transforming the reading process into an iterative improvement cycle that maintains productivity while ensuring accuracy.
2Loss of information
If reading results are displayed in a table with separate mapping for successful and unsuccessful readings, then reading status is clearly recorded, but it becomes difficult to recognize whether both surfaces of a specific document were successfully read
Solution Approach 1:
The patent merges the information about document serial number and reading status into a single integrated list structure. This unified presentation allows operators to view all documents and their reading statuses together, making it easy to verify whether both surfaces of each document were read successfully without needing to cross-reference multiple separate tables.
Solution Approach 2:
The system segments the reading results into distinct entries for each document, with clear indicators of reading success or failure. This segmentation allows operators to quickly scan the list and identify specific problematic documents without confusion, improving the verification process while maintaining clear information recording.
3Device complexity
If documents are not arranged in order of student identification number, then the bundle processing is faster and simpler, but it becomes difficult to find documents that need to be re-read
Solution Approach 1:
The system performs preliminary action by generating a pre-sorted list of documents with reading status information before the operator needs to identify problematic documents. This pre-processing creates an organized view that allows operators to quickly locate documents needing re-reading without having to manually search through unsorted bundles, thus reducing time loss without requiring complex document arrangement.
Data Source
AI summary
An information processing apparatus includes: an extraction unit that extracts a document on which reading is unsuccessfully completed in a surface unit in a case where a bundle of a plurality of documents including written information are optically read one by one in order; and a generation unit that generates a list of summary results in which a number indicating in what number the document including a surface is read from the bundle of documents is added to a record corresponding to the surface on which reading is unsuccessfully completed.