Dynamic QR Code Error Correction for Print Quality Variations
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Solution Overview
Problem
Existing code reading technologies face challenges with reading errors due to varying display quality and toner-saving modes, which affect the accuracy of two-dimensional and one-dimensional codes, especially when printing on different media types with genuine or non-genuine ink.
Innovation Solution
A method that acquires output information, specifies the output condition, and converts it into a code with an error-correction amount tailored to the specific print or display condition, using a processor with modules for acquisition, specification, conversion, and output control to generate a QR code with adjusted error-correction capabilities based on print medium and ink type, thereby optimizing code size and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error-correction amount is increased to reduce reading errors, then reading reliability is improved, but code size increases
Solution Approach 1:
The patent changes the error-correction parameter of the code based on output conditions. When printing on genuine ink with high print quality, a lower error-correction level (e.g., L or M) is used, reducing code size. When printing on non-genuine ink or with low print quality, a higher error-correction level (e.g., Q or H) is used, improving reading reliability. This dynamic parameter adjustment resolves the contradiction between code size and reading reliability.
2Area of moving object
If code size is reduced for high-quality prints, then area efficiency is improved, but reading reliability may deteriorate in low-quality prints
Solution Approach 1:
The patent makes the error-correction level dynamic rather than fixed. The code generation process adapts the error-correction parameter according to detected output conditions (genuine/non-genuine ink, print quality). This dynamic adjustment ensures optimal code size for high-quality prints while maintaining sufficient reading reliability for low-quality prints by increasing error-correction when needed.
3Loss of substance
If toner-saving mode is applied to reduce material consumption, then loss of substance is reduced, but manufacturing precision of code deteriorates
Solution Approach 1:
The patent applies preliminary anti-action by pre-compensating for the expected deterioration in print quality when toner-saving mode is detected. The system detects the toner-saving mode before code generation and automatically increases the error-correction parameter in advance, counteracting the negative effect of reduced print quality on code readability. This prevents reading errors before they occur.
4Reliability
If error-correction amount is uniformly increased for all output conditions, then reading reliability is improved, but code size increases unnecessarily for high-quality prints
Solution Approach 1:
The patent applies local quality by adjusting the error-correction parameter according to specific output conditions rather than using a uniform setting for all codes. High-quality prints using genuine ink receive lower error-correction levels (e.g., L or M), while low-quality prints or those using non-genuine ink receive higher error-correction levels (e.g., Q or H). This localized adjustment optimizes both reading reliability and output efficiency by avoiding unnecessary error-correction in high-quality scenarios.
Data Source
AI summary
An output product producing method includes acquiring output information, specifying an output condition for an output section, converting the output information into a code having an error-correction amount corresponding to the output condition, and causing the output section to output an output product including the code under the output condition.