Dynamic Reader Calibration for Image Recording Devices
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Solution Overview
Problem
Conventional image recording devices face challenges in calibrating their readers at optimal timings due to uniform frequency calibration, leading to potential inaccuracies in image recording and reading results.
Innovation Solution
An image recording device and method that calibrate the reader based on specific conditions, including the type of image being recorded and reading influence factors such as light source brightness, ensuring appropriate calibration timing adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the reader is calibrated with predetermined frequency uniformly, then the calibration process is simple to manage, but the calibration cannot always be performed at appropriate timings leading to potential inaccuracies
Solution Approach 1:
The calibration frequency is made dynamic rather than uniform. The calibration control unit determines calibration timing based on actual reading results and detects changes in reading characteristics. When variations exceeding thresholds are detected, calibration is triggered. This dynamic approach ensures calibration occurs at appropriate timings to maintain accuracy while avoiding unnecessary uniform calibration cycles.
Solution Approach 2:
The system implements feedback mechanisms where reading results are continuously monitored and fed back to the calibration control unit. The unit compares current reading characteristics with reference values and triggers calibration when deviations indicate performance degradation. This feedback-driven approach optimizes calibration timing based on actual system state rather than predetermined schedules.
2Measurement precision
If the reader is calibrated frequently to maintain accuracy, then reading accuracy is improved, but calibration time and operational efficiency are reduced
Solution Approach 1:
The calibration control unit continuously monitors reading results and compares them against reference values. Calibration is triggered only when actual variations exceed predetermined thresholds, rather than following a fixed frequent schedule. This feedback-based approach maintains high accuracy by calibrating only when necessary, thereby maximizing operational efficiency.
Solution Approach 2:
The system changes the calibration parameter from a fixed time-based interval to a condition-based trigger. By monitoring reading result variations and triggering calibration only when variations exceed thresholds, the system adapts calibration frequency to actual performance needs, balancing accuracy maintenance with operational productivity.
3Measurement precision
If calibration is performed at every reading to ensure maximum accuracy, then reading accuracy is maintained, but time loss and operational slowdown occur
Solution Approach 1:
The system uses feedback from continuous monitoring of reading results to determine when calibration is actually needed. By comparing current readings with reference values and detecting significant variations, the system triggers calibration only when performance degradation is detected, avoiding unnecessary calibration time loss while maintaining accuracy.
Solution Approach 2:
Instead of performing full calibration at every reading (excessive action), the system performs calibration only when variations exceed predetermined thresholds (partial action). This selective approach applies calibration exactly when needed to maintain accuracy, minimizing time loss while ensuring reading quality.
4Ease of operation
If uniform calibration frequency is used, then the system is easy to operate, but it cannot adapt to changing reading conditions
Solution Approach 1:
The calibration system transitions from static uniform frequency to dynamic condition-based timing. The calibration control unit automatically adjusts calibration timing based on detected variations in reading results, enabling the system to adapt to changing reading conditions while maintaining simple operation through automated decision-making.
Solution Approach 2:
The calibration control unit autonomously monitors reading results, compares them with reference values, and determines when calibration is needed without requiring manual intervention. This self-service approach maintains ease of operation while providing adaptive calibration that responds to changing reading conditions.
Data Source
AI summary
An image recording device includes a recorder, a reader and a hardware processor. The recorder records an image on a recording medium. The reader reads, with an imaging element, a surface of the recording medium and a surface of a predetermined reference member. The hardware processor calibrates the reader for a value to be detected by the imaging element, based on a reading result of the reading of the surface of the reference member. Further, the hardware processor performs the calibration in at least one of: a case where a type of the image to be recorded on the recording medium satisfies a predetermined image type condition; and a case where a predetermined reading influence factor which affects a reading result of the reading of the surface of the recording medium satisfies a predetermined reading influence factor condition.