Two-Dimensional Code Position Detection Patterns
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Solution Overview
Problem
Conventional two-dimensional codes face challenges in accurate recognition, especially when photographed under varying conditions such as out-of-focus or blurry images, and when multiple codes are recognized simultaneously, due to limitations in position detection pattern design and processing efficiency.
Innovation Solution
The proposed two-dimensional code incorporates four or more different position detection patterns with distinct shapes, sizes, and orientations, along with a separation space, to facilitate faster and more accurate recognition, even in deteriorated image conditions, by reducing the number of scanning operations and increasing detection speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If three identical position detection patterns are used for quick analysis, then detection speed is improved, but processing time increases when multiple codes are recognized simultaneously
Solution Approach 1:
The patent divides the position detection function into multiple distinct patterns (first, second, third, and fourth position detection patterns) with different shapes, sizes, and orientations. This segmentation allows the system to quickly identify and differentiate between multiple codes simultaneously, reducing the processing time required to verify pattern combinations while maintaining fast detection speed through distinctive pattern characteristics.
2Measurement precision
If multiple position detection patterns are used to improve detection accuracy, then recognition accuracy is improved, but device complexity increases
Solution Approach 1:
Each position detection pattern is designed with distinct local qualities - different shapes (square, rectangular), different sizes, and different orientations. This allows the system to achieve high recognition accuracy through pattern differentiation while keeping the overall device complexity manageable, as each pattern serves a specific detection purpose with its unique characteristics.
Solution Approach 2:
The patent employs asymmetric design by using position detection patterns with different geometric properties (square vs. rectangular, different orientations). This asymmetry enables the system to distinguish between multiple codes and their orientations accurately, improving recognition precision without requiring complex additional components, as the complexity is embedded in the simple geometric variations of the patterns themselves.
3Measurement precision
If scanning of all pixels is performed for position detection, then detection accuracy is improved, but productivity decreases
Solution Approach 1:
The distinct position detection patterns are designed to be identifiable through their unique geometric characteristics (shape, size, orientation) without requiring exhaustive pixel-by-pixel scanning. The patterns are configured so that their centers can be quickly located and their light-dark ratios determined through targeted scanning, enabling accurate detection while significantly improving analysis throughput by avoiding complete pixel scanning of the entire image.
Data Source
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AI summary
Disclosed is a two-dimensional code which is not likely to be affected by contamination or out-of-focus photographing thereof and can thus be accurately recognized in a short time even when it is photographed under various photographing conditions. The disclosed two-dimensional code comprises: cells representing binary-coded data that are arranged as a pattern in a two-dimensional matrix; and four or more different position detection patterns.