Image Inspecting Device Dynamic Non-Detection Area Control
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Solution Overview
Problem
Existing image inspecting devices face challenges in preventing false detection of image abnormalities due to factors like foreign material adhesion, sheet folding, cutting defects, and skew, especially in areas outside the sheet end portion, leading to incomplete inspection and missed abnormalities.
Innovation Solution
An image inspecting device with an abnormality detector and controller that sets a non-detection area based on detection results, identifying and excluding areas with false detection patterns by satisfying a predetermined non-detection condition, thereby preventing false detection and ensuring comprehensive inspection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a non-detection area is set at the end portion of the sheet to prevent false detection, then false detection is reduced, but actual abnormalities in the non-detection area cannot be detected
Solution Approach 1:
The non-detection area is dynamically adjusted based on detected abnormality patterns. When false detection patterns are identified (such as foreign material adhesion or sheet folding), the system automatically sets non-detection areas at those specific locations. This dynamic adjustment allows the inspection system to adapt to different sheet conditions while maintaining both high detection accuracy and comprehensive inspection coverage.
2Measurement precision
If the entire sheet area is inspected, then inspection coverage is maximized, but false detection increases due to factors like foreign material and sheet defects
Solution Approach 1:
The system uses detection results as feedback to identify false detection patterns and adjust the non-detection area settings. When abnormalities such as foreign material adhesion or sheet folding are detected, the system analyzes these patterns and sets appropriate non-detection areas to prevent false detection in subsequent inspections, while maintaining inspection coverage in areas where actual abnormalities may occur.
3Reliability
If manual setting of non-detection area is used, then false detection can be prevented in specific areas, but user time and operation complexity increase
Solution Approach 1:
The system automatically identifies false detection patterns and sets non-detection areas without requiring manual user input. By analyzing detection results and identifying patterns such as foreign material adhesion or sheet folding, the system self-adjusts the non-detection area settings, eliminating the need for manual configuration while maintaining high detection accuracy.
Data Source
AI summary
An image inspecting device includes an abnormality detector and circuitry. The abnormality detector is configured to detect an abnormality of an inspection object image. The circuitry is configured to set a non-detection area to be excluded from a detection object area within which the abnormality detector detects an image abnormality and set an area including an abnormality detection portion as the non-detection area when a detection result obtained by the abnormality detector satisfies a non-detection condition.