Image Scanner Operator Error Classification
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Solution Overview
Problem
Conventional image reading devices fail to accurately distinguish between operator-dependent and device-dependent errors, leading to inappropriate countermeasure suggestions, as they do not account for the unique factors contributing to errors in scanner operations.
Innovation Solution
An image reading device equipped with a storage unit for error and operator information, and a determining unit that analyzes past operations to differentiate between operator-dependent and device-dependent errors, providing tailored countermeasure guidance based on the error type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional error analysis methods are used that do not distinguish operator-dependent and device-dependent errors, then the error analysis process is simple, but the accuracy of error factor determination is low
Solution Approach 1:
The patent segments error analysis into two distinct categories: operator-dependent errors and device-dependent errors. By dividing the error analysis process into separate evaluation paths for each error type, the system achieves more accurate error factor determination while managing complexity through structured classification rather than attempting to analyze all errors uniformly.
Solution Approach 2:
The patent changes the parameter of error analysis from a generic unified approach to a differentiated approach based on error type. By introducing operator information as a key parameter and changing how errors are classified and analyzed based on whether they are operator-dependent or device-dependent, the system improves determination accuracy without proportionally increasing overall system complexity.
2Adaptability or versatility
If generic countermeasure suggestions are provided for all errors, then the response process is simple and quick, but the appropriateness of countermeasures is low
Solution Approach 1:
The patent performs preliminary classification of errors into operator-dependent and device-dependent categories before providing countermeasure suggestions. By pre-establishing different countermeasure guidelines for each error type and having the system automatically classify and select appropriate countermeasures, the system delivers adaptable and appropriate recommendations without requiring time-consuming manual analysis of each error case.
Solution Approach 2:
The patent implements a feedback mechanism where error information and operator information are continuously collected, analyzed, and used to refine future error analysis and countermeasure recommendations. This feedback loop enables the system to learn from past errors and improve the appropriateness of countermeasures over time while maintaining efficient automated response times.
Data Source
AI summary
An image reading device includes an information storage unit that stores, in an associated manner, error information on errors occurred due to a previous scan operation and operator information on an operator who produced errors, and an error analyzing unit that determines whether an error occurred due to a scan operation of a specific operator is an operator-dependent error, based on the error information and the operator information stored in the information storage unit.