Graphical Indicator Reading with Partial Image Data Recovery
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Solution Overview
Problem
Existing methods for reading graphical indicators fail when the entire indicator is not completely captured, leading to incomplete data retrieval due to shifting optical devices or partial image capture.
Innovation Solution
A method and structure that utilize a header and content data part with graphical micro-units, where lost micro-units are estimated using corresponding micro-units from adjacent indicators, allowing for complete data recovery through a mathematical relationship between adjacent indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the electronic system requires complete capture of the graphical indicator to read it, then the reading accuracy is improved, but the system becomes vulnerable to failures when the optical device shifts or only partially captures the indicator
Solution Approach 1:
The patent applies preliminary action by pre-establishing mathematical relationships between adjacent graphical indicators during the design phase. The indicator structure is configured so that each indicator has a predetermined mathematical relationship with its neighbors, allowing the system to reconstruct complete data even when partial capture occurs. This pre-prepared framework enables the electronic system to automatically perform data recovery without requiring complete initial capture.
Solution Approach 2:
The patent uses copying by creating redundant information through mathematical relationships between adjacent indicators. Instead of storing complete independent data in each indicator, the system creates compressed representations where full information can be reconstructed by combining data from multiple indicators. This copying approach allows the system to recover complete data by synthesizing information from partially captured indicators and their mathematical relationships with neighbors.
2Quantity of substance
If the graphical indicator uses compressed representation with mathematical relationships, then the information density is improved, but the complexity of data reconstruction increases
Solution Approach 1:
The patent applies segmentation by dividing the indicator structure into distinct components: header parts for identification, content data parts for information storage, and graphical micro-units for visual representation. Each segment serves a specific function, and the mathematical relationships are established between corresponding segments of adjacent indicators. This structured segmentation simplifies the reconstruction process by providing clear guidelines for which parts to combine and how to process them.
Solution Approach 2:
The patent uses parameter changes by transforming the representation of indicator data from complete explicit forms to compressed forms defined by mathematical relationships. The key parameter change is in how information is encoded: instead of storing all data explicitly in each indicator, the system stores compact representations where full information can be derived by applying mathematical transformations. This parameter change in data representation achieves high information density while managing processing complexity through systematic reconstruction algorithms.
Data Source
AI summary
A method for reading a graphical indicator is provided. The method includes the following steps. An indicator image including a plurality of graphical micro-units is obtained. According to a portion of the graphical micro-units, a first header part and a first content data part belonging to a first image indicator are obtained. According to another portion of the graphical micro-units, a second header part and a second content data part belonging to a second image indicator are obtained. The graphical micro-units of the first content data part are further used to obtain the indicator data. When a portion of the graphical micro-units in the first content data part is lost, the complete graphical micro-units can be obtained by recovering the lost graphical micro-units of the first content data part according to the graphical micro-units belonging to the first and the second content data parts captured in the indicator image.