Printing Sheet Mismatch Detection With Adaptive Thresholds
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Solution Overview
Problem
Existing systems for detecting mismatched sheets in printing face challenges with accuracy and reliability due to varying sheet characteristics, leading to increased reprinting costs and decreased user trust.
Innovation Solution
An information processing apparatus that sets sheet information, stores predetermined requirements, and determines whether detected sheet characteristics meet these requirements, using adaptive thresholds based on sheet profiles to accurately identify mismatched sheets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed threshold is used for mismatch detection, then the device complexity is reduced, but the measurement precision decreases due to varying sheet characteristics
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed threshold to a dynamic threshold that automatically adapts based on sheet characteristics. The system stores multiple predetermined requirements (different threshold levels) and selects the appropriate threshold based on the detected sheet type, making the threshold dynamic rather than static. This resolves the contradiction by maintaining simple device structure while achieving high detection accuracy through adaptive threshold selection.
Solution Approach 2:
The patent changes the parameter of the threshold from a fixed value to a variable that depends on sheet characteristics. By storing multiple predetermined requirements with different threshold levels and selecting based on sheet type detection, the system changes the threshold parameter dynamically. This allows the mismatch detection accuracy to be maintained high across different sheet types without increasing device complexity.
2Measurement precision
If a strict threshold is used for mismatch detection, then the measurement precision increases, but the productivity decreases due to increased false positives
Solution Approach 1:
The patent applies local quality by setting different threshold levels (predetermined requirements) for different sheet types rather than using a single uniform threshold. Each sheet type has its own optimized threshold stored in the storage unit, allowing the system to achieve high detection accuracy for each specific sheet type while minimizing false positives. This localized approach to threshold setting maintains productivity by reducing unnecessary job stoppages.
Solution Approach 2:
The system dynamically selects the appropriate threshold level based on the detected sheet characteristics. When a sheet is fed, the system first identifies the sheet type and then selects the corresponding predetermined requirement with the appropriate threshold. This dynamic adaptation ensures that each sheet type is evaluated with its optimal threshold, maintaining high accuracy while avoiding false positives that would reduce productivity.
3Productivity
If a loose threshold is used for mismatch detection, then the productivity is maintained, but the measurement precision decreases leading to undetected wrong sheets
Solution Approach 1:
The patent implements local quality by storing multiple predetermined requirements with different threshold levels tailored to specific sheet types. Instead of using a single loose threshold that compromises detection accuracy, the system selects the appropriate threshold level for each sheet type. This ensures that each sheet type is evaluated with the optimal threshold that maintains both high detection accuracy and productivity.
4Measurement precision
If manual threshold setting for each sheet type is implemented, then the measurement precision increases, but the ease of operation decreases
Solution Approach 1:
The patent applies self-service by enabling the system to automatically select the appropriate predetermined requirement based on detected sheet characteristics. Instead of requiring manual threshold setting for each sheet type, the system autonomously identifies the sheet type and selects the corresponding threshold from stored predetermined requirements. This self-service approach maintains high detection accuracy while significantly improving ease of operation.
Solution Approach 2:
The system uses feedback from sheet characteristic detection to automatically select the appropriate threshold level. The detection unit detects sheet characteristics, and this information feeds back to the determination unit, which then selects the corresponding predetermined requirement. This feedback mechanism eliminates the need for manual threshold setting while maintaining high measurement precision across different sheet types.
Data Source
AI summary
An information processing apparatus includes: a setting unit that sets pieces of sheet information on sheets; a storage that stores multiple predetermined requirements; and a hardware processor. The hardware processor determines whether characteristic information of a sheet that has a piece of sheet information set by the setting unit satisfies a predetermined requirement corresponding to the sheet among the predetermined requirements stored in the storage.