Embossed Paper Image Inspection Using Adaptive Editing Thresholds
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Solution Overview
Problem
Existing image inspection systems fail to accurately inspect images on embossed paper due to erroneous determinations caused by recesses and protrusions, leading to unnecessary discarding of entire bundles of sheets.
Innovation Solution
An image forming system that adjusts the intensity of image editing processes and determination thresholds based on the type of paper, specifically for embossed paper, to reduce erroneous determinations by applying a reduction process to minimize shadows from recesses and protrusions while maintaining image integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image inspection is performed on embossed paper using standard determination thresholds, then individual defect detection is enabled, but erroneous determinations occur due to shadows from recesses and protrusions
Solution Approach 1:
The patent applies parameter changes by adjusting the determination threshold based on the sheet type. For embossed paper, a higher (stricter) determination threshold is used compared to plain paper, which allows the inspection system to account for the inherent shadows and irregularities caused by the embossed surface while still detecting actual defects.
Solution Approach 2:
The patent implements local quality by applying different determination thresholds tailored to specific sheet types. Instead of using a uniform threshold for all papers, the system selects appropriate threshold values based on the characteristics of each sheet type (e.g., embossed vs. plain paper), thereby optimizing defect detection for each material's unique properties.
2Reliability
If embossed paper is excluded from inspection to avoid erroneous determinations, then determination accuracy is improved, but image inspection capability is lost for this sheet type
Solution Approach 1:
The patent enables inspection of embossed paper by changing the determination threshold parameter to a higher value specifically for this sheet type. This parameter adjustment allows the system to distinguish between normal surface irregularities and actual defects, thereby maintaining inspection capability while ensuring accurate determinations.
Solution Approach 2:
The patent introduces dynamics by making the determination threshold adaptive rather than static. The threshold dynamically adjusts based on the sheet type being inspected, allowing the system to flexibly handle different materials with varying surface characteristics without requiring separate inspection systems for each paper type.
3Reliability
If entire bundles of sheets are discarded due to erroneous fail determination, then false defect detection is avoided, but resource waste increases
Solution Approach 1:
The patent prevents resource waste by applying sheet-type-specific determination thresholds that reduce erroneous determinations. By using appropriate thresholds for embossed paper, the system minimizes false defect detections, thereby preventing the unnecessary discarding of entire bundles and reducing material waste.
4Measurement precision
If determination threshold is set to detect all potential defects, then detection sensitivity is improved, but erroneous determinations increase on embossed paper
Solution Approach 1:
The patent resolves this contradiction by implementing variable determination thresholds based on sheet type. For embossed paper, the threshold is set higher to reduce false positives from surface irregularities, while for plain paper, a lower threshold maintains high sensitivity. This parameter adaptation allows the system to optimize both detection sensitivity and determination accuracy for different materials.
Data Source
AI summary
An image forming system executes determination processing with an intensity of an image editing process being a first intensity and a determination threshold being a first value and does not execute the determination processing with the intensity of the image editing process being the first intensity and the determination threshold being a second value. The system executes the determination processing with the intensity of the image editing process being a second intensity greater than the first intensity and the determination threshold being the first value and does not execute the determination processing with the intensity of the image editing process being the second intensity and the determination threshold being the second value.