Automated Image Inspection Reliability Testing via Embedded Defects
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Solution Overview
Problem
Current image inspection methods in printing presses lack automation for verifying the reliability of error detection, leading to time-consuming and costly manual processes that fail to detect errors promptly, resulting in potential misprints and increased waste.
Innovation Solution
An automated method for testing the reliability of error detection in image inspection systems, where a faulty test image is created by overlaying a reference image with specific error elements, and the image inspection process is evaluated for accuracy, allowing for immediate intervention and recalibration, reducing the need for dedicated error plates and increasing the frequency of checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate printing plate with defect objects is created to test the image inspection process, then the reliability of error detection can be verified, but the printing process must be interrupted and time is lost
Solution Approach 1:
The patent combines the test image generation with the regular printing workflow by integrating defect elements directly into the prepress data used for normal production. This merging eliminates the need for separate test plates and allows reliability verification to occur during regular printing operations, thus resolving the contradiction between ensuring detection reliability and maintaining production continuity
Solution Approach 2:
The patent implements preliminary generation of test images by incorporating defect elements into the prepress data before the actual printing begins. This preliminary preparation allows the image inspection system to be tested with known defects already in place, enabling continuous verification without interrupting the printing process and eliminating the need for separate test plate creation
2Reliability
If manual testing procedures are used to verify image inspection accuracy, then error detection reliability can be assessed, but the process is time-consuming and costly
Solution Approach 1:
The patent implements a self-service testing mechanism where the image inspection system automatically evaluates its own performance by comparing detected defects against the known defect elements embedded in the test images. This automated self-assessment eliminates the need for manual testing procedures, significantly improving testing efficiency while maintaining reliable error detection verification
Solution Approach 2:
The patent establishes a feedback loop where the image inspection system's detection results are automatically compared with the ground truth defect information, and performance metrics are generated and displayed to operators. This automated feedback mechanism enables continuous monitoring and validation of inspection accuracy without manual intervention, resolving the contradiction between reliability assessment and productivity
3Reliability
If the image inspection process is frequently tested with separate test plates, then errors can be detected early, but the complexity of the testing procedure increases
Solution Approach 1:
The patent creates a universal testing approach where a single integrated system handles both production printing and reliability testing functions. By embedding defect elements in the prepress data that is already used for production, the system eliminates the need for multiple specialized test plates and procedures, reducing complexity while enabling frequent early error detection
Solution Approach 2:
The patent simplifies the testing procedure by performing preliminary integration of defect elements into the prepress data before printing. This upfront preparation creates a unified workflow where testing is automatically incorporated into the production process, eliminating the need for complex separate testing procedures and enabling frequent, simple reliability checks
Data Source
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AI summary
A method for testing the reliability of the defect detection of an image inspection procedure using a computer, comprising the following steps: • Generation of a defective test image by superimposing a defect-free reference image with specific defect elements • Execution of the image inspection procedure with the defective test image • Comparison of the defects detected by the image inspection procedure with the quantity of defects expected based on the known defects added to the test image • Evaluation of the reliability of the image inspection procedure based on the difference between detected and expected defects