Color Barcode Encoding via Closed-Loop Calibration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The limitations in hardware factors, such as color rendering and detection characteristics of printers and scanners, result in reduced data capacity and readability of color barcodes, as the same digital color data can produce different printed and scanned colors due to varying hardware configurations.
Innovation Solution
A method is introduced to determine the optimum color gradation levels for a closed loop system by generating a test pattern, scanning it, and comparing the detected data with input data to establish reliable gradation levels, thereby maximizing data capacity and readability of color gradation barcodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If color gradation barcodes use high-bit depth color data (e.g., 8-bit per color) to increase data capacity, then the data capacity is improved, but the readability and measurement accuracy deteriorate due to hardware limitations in printer and scanner color reproduction
Solution Approach 1:
The patent transforms the color barcode from using absolute color values (RGB/CMYK) to using relative color difference values. By measuring the actual printed colors and calculating deviation from expected values, the system can encode data in the differential color space, effectively utilizing the full dynamic range of the hardware while maintaining measurement accuracy.
Solution Approach 2:
The patent replaces the traditional optical detection system with a computational approach. Instead of relying on the scanner to directly read color values, the system uses a camera to capture the barcode and computational algorithms to decode the color difference patterns, substituting mechanical/optical precision requirements with computational processing.
2Adaptability or versatility
If different printers and scanners with varying color characteristics are used, then the adaptability and versatility are improved, but the reliability and consistency of color reproduction deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the system measures the actual printed barcode colors using a scanner or camera, compares them to the expected colors, and uses this feedback to decode the data. This closed-loop approach compensates for variations in printer and scanner characteristics, enabling reliable operation across different hardware configurations.
Solution Approach 2:
The patent creates a universal color barcode system that can operate with any printer-scanner combination by encoding data in relative color differences rather than absolute color values. This universal approach allows the same barcode generation and decoding methodology to work across diverse hardware platforms without requiring hardware-specific calibration or configuration.
3Adaptability or versatility
If color barcodes are printed on different recording mediums with varying characteristics, then the versatility is improved, but the manufacturing precision and color accuracy deteriorate
Solution Approach 1:
The patent changes the encoding parameter from absolute color values to relative color differences. By measuring the actual printed colors on the specific medium and encoding data in the differential space, the system adapts to the medium's characteristics while maintaining precise data representation regardless of the recording medium used.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for reliable printing and scanning of color barcodes with increased data capacity by identifying and using the specific color capabilities of the printer-scanner combination, ensuring consistent and accurate color representation across different hardware systems.
Implementation Method 1
A color scanner or detector typically uses a set of color filters (e.g. RGB filters) to detect the color of the received light.
Data Source
AI summary
Disclosed is a method for determining optimum color gradation levels used by a color gradation barcode in a system including a rendering device for rendering the barcode and a detector for detecting the barcode. The method includes: (a) obtaining input color gradation data; (b) rendering, by using the rendering device, a test pattern based on the input color gradation data, the test pattern comprising at least one color gradation pattern; (c) detecting, by using the detector, the rendered test pattern to generate detected color gradation data; (d) based on the detected color gradation data and the input color gradation data, determining a plurality of optimum color gradation levels to be used for a color gradation barcode; and (e) storing the plurality of optimum color gradation levels.


