Character String Reading Device Misreading Detection
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Solution Overview
Problem
Existing character recognition systems in portable devices struggle with accurate reading of character strings in varied environments, often leading to misreading, and frequently notify operators of potential misreading even when the reading is accurate, causing operator fatigue.
Innovation Solution
A character string reading method that involves obtaining an image of a read object, recognizing a character string, and obtaining candidates for a second character string based on matching formats. The method notifies the operator of potential misreading when multiple candidates are found, and it uses predetermined conditions to select the appropriate character string for output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system notifies the operator of potential misreading in all cases where multiple candidates are found, then the reliability of character recognition is improved, but the operator experiences fatigue due to frequent notifications even when reading is accurate
Solution Approach 1:
The system changes the parameter of notification frequency by introducing a determination unit that evaluates multiple factors (candidate number, matching rates, format consistency) before triggering notifications. This filters out false positives while maintaining detection of actual misreadings, reducing operator fatigue while preserving reliability.
Solution Approach 2:
The system implements feedback mechanisms by comparing multiple candidate results against predetermined conditions and providing selective feedback to the operator. The determination unit analyzes the quality of matching and provides targeted notifications only when misreading is likely, creating a feedback loop that reduces unnecessary alerts while maintaining accurate error detection.
2Measurement precision
If the system uses multiple read formats and substring matching to detect potential misreading, then the measurement precision of character recognition is improved, but the device complexity increases
Solution Approach 1:
The system segments the character recognition process into distinct functional units: a read format management unit that handles multiple formats, a recognition unit that generates candidates, and a determination unit that evaluates results. This modular segmentation allows precise misreading detection through substring matching while managing complexity through organized functional separation.
Solution Approach 2:
The system performs preliminary action by pre-defining multiple read formats and their associated conditions before the actual recognition process. This preparation of format templates and matching criteria in advance enables precise misreading detection without requiring complex real-time analysis, as the framework is already established prior to processing character strings.
3Reliability
If the system notifies misreading possibilities in varied reading environments, then the reliability of reading results is improved, but the frequency of notifications increases leading to operator fatigue
Solution Approach 1:
The system changes the parameter of notification selectivity by evaluating multiple conditions (candidate count, matching rates, format compliance) before triggering alerts. This parameter-based filtering maintains high reliability in varied reading environments by adapting to different input qualities while reducing the frequency of notifications to only those cases where misreading is genuinely likely, thereby preserving operator attention.
Data Source
AI summary
An imaging part obtains an image of a read object, and a character string recognizing part recognizes a character string in the image. An output format setting part sets an output format of a character string to be read from the image and to be output. A character extracting part obtains a candidate for a character string for output, at a portion matching the output format among the recognized character string, and if plural candidates are obtained, selects one of the plural candidates as the character string for output, based on a predetermined condition. A notifying part notifies a possibility of misreading in a case where plural candidates are obtained by the character extracting part.