Cork Coding Method for Wine Authentication via Texture Feature
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Solution Overview
Problem
In the red wine production and sales market, existing methods for tracing products and ensuring authenticity are unreliable due to the ease with which red wine and wine bottles can be imitated, rendering verification uncontrollable.
Innovation Solution
A cork coding method that involves acquiring and identifying a character code on the cork, extracting and establishing a unique texture feature, and creating a one-to-one correspondence between the character code and texture feature, allowing for authentic verification through a database comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unique verification is performed via red wine and wine bottle, then verification is simplified, but reliability deteriorates because red wine and wine bottles are easy to be imitated
Solution Approach 1:
The verification system is segmented into three independent components: the red wine bottle (external container), the red wine (product), and the cork (internal component). By segmenting the verification object, the patent makes it significantly harder for counterfeiters to replicate the complete system, as they would need to forge all three components with their unique texture features and corresponding relationships, rather than just the bottle or wine label.
Solution Approach 2:
The patent focuses on the cork's unique texture features as a local quality characteristic that is difficult to replicate. Instead of verifying the entire bottle or wine (which can be easily imitated), the system extracts and verifies specific local texture features of the cork, such as grain patterns, pores, and surface characteristics, which serve as a reliable authentication marker.
2Reliability
If texture feature extraction is performed on corks, then authentication reliability is improved, but device complexity increases due to image processing requirements
Solution Approach 1:
The patent replaces complex mechanical verification methods with optical and computational approaches. Image processing technology is used to capture cork texture features, and algorithmic methods automatically extract and compare texture characteristics. This substitution of mechanical systems with optical-computational systems improves reliability while managing complexity through software-based solutions.
Solution Approach 2:
The system creates a digital copy or model of the cork's texture features by extracting characteristic parameters from images. These copied texture features are stored and compared against reference samples, allowing for reliable authentication without requiring physical comparison of the actual corks. This copying approach simplifies the verification process while maintaining high reliability.
Data Source
AI summary
The present application discloses a cork coding method and device, a cork tracing method and device, and an electronic device, wherein, the cork coding method comprises: acquiring an original image of a to-be-coded cork with an original character code; identifying the original character code in the original image; determining whether the original character code is matched with a character already inputted into a database; extracting an original texture feature of an to-be-coded cork from the original image, if the original character code is not matched with the character in the database; and establishing a one-to-one correspondence between the original texture feature and the original character code. In the method the original character code on the cork corresponds to the original texture feature on the cork, to guarantee the uniqueness of the original character code and the original texture feature