Image Reading Detection for Mixed Document Bundles
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Solution Overview
Problem
Existing image reading devices struggle to handle mixed document bundles effectively, leading to undesired reading results when documents of different sizes or types are included, such as A5 or recycled paper in a bundle of A4 plain paper.
Innovation Solution
An image reading system with a transport section, reading section, detection section, and display section, where the detection section identifies non-target documents, and the control section alerts the user through the display section when a document does not meet the set conditions, allowing for the removal of non-target documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the image reading device reads documents from a mixed document bundle without detection, then the reading process is simple and fast, but the reading accuracy and reliability deteriorate because non-target documents are read
Solution Approach 1:
The detection section performs preliminary detection of document conditions (size, type, orientation) before the reading process. This allows the system to identify and flag non-target documents in advance, ensuring reading accuracy without complicating the core reading mechanism.
Solution Approach 2:
The control section acts as an intermediary between the detection section and the reading section. It processes detection results and controls the reading process accordingly, managing the interaction between detection and reading functions without requiring direct complex integration.
2Reliability
If the detection section detects all documents to ensure accurate reading, then the reading reliability improves, but the processing time increases
Solution Approach 1:
The system performs partial detection by checking only the necessary document conditions (size, type, orientation) rather than comprehensive analysis of all documents. This selective detection approach maintains reading reliability while minimizing processing time.
Solution Approach 2:
The detection section uses optical detection methods instead of manual document inspection. This substitution enables rapid automated detection of document conditions, significantly reducing processing time while maintaining high reliability.
3Productivity
If the system processes all documents without verification, then the productivity is high, but the quality of reading results deteriorates
Solution Approach 1:
The detection section performs preliminary verification of document conditions before processing. This allows the system to quickly identify and exclude non-target documents, maintaining high processing speed for valid documents while ensuring reading quality through pre-verification.
Solution Approach 2:
The control section uses feedback from the detection section to adjust the reading process. When non-target documents are detected, the system provides feedback to skip or flag these documents, maintaining productivity by not processing invalid documents while ensuring quality through continuous verification.
Data Source
AI summary
An image reading system is provided with a transport section for transporting sheets of documents one sheet at a time from a document bundle, a reading section for reading the documents, a detection section for detecting the documents, a display section for displaying a setting screen on which a target condition, which is a condition of documents that are the target of reading, is set, and a control section, wherein when the detection section detects a document that does not match the target condition, the control section causes the display section to display that a document that does not match the target condition has been detected.