Label Verification System Using On-Device Code Analysis
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Solution Overview
Problem
Existing label verification systems fail to reliably verify the authenticity of target articles by confirming that the delivered item is the one selected by the customer, as they can mistakenly authenticate incorrect items, and they require costly networked server systems for operation.
Innovation Solution
A label verification system that includes a label creating device and an information device, which generate and analyze code information containing characteristic and identification data printed on labels, allowing for on-site verification of article identity without a networked server system, by matching characteristic and identification information at the time of delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a server connected to a network is used for verifying the authenticity of labels, then the verification system can be implemented, but the system costs increase
Solution Approach 1:
The label verification system enables self-service verification by embedding all necessary verification data (characteristic information, identification information, authentication codes) directly on the label. The information device can independently verify article authenticity by reading and analyzing this embedded data without requiring external server assistance, thus eliminating network infrastructure costs while maintaining verification reliability
Solution Approach 2:
The system creates a complete copy of verification capabilities by encoding all authentication data onto the label itself. Instead of relying on a centralized server to store and verify data, the label contains a self-contained copy of all verification information, allowing any information device to perform verification locally without network connectivity
2Reliability
If only label authenticity is verified without article characteristic matching, then the verification process is simple, but the authenticity of the target article cannot be confirmed
Solution Approach 1:
The verification process is segmented into distinct functional modules: an imaging unit for capturing article images, an analyzer for extracting characteristic information, an extracting unit for reading label data, and a determination unit for comparing results. This segmentation allows the system to perform comprehensive article verification while maintaining clear functional separation and manageable complexity
Solution Approach 2:
The system replaces manual verification methods with automated image analysis. The imaging unit captures images of the article, the analyzer automatically extracts characteristic information from these images, and the determination unit electronically compares this information with label data, substituting mechanical/manual verification processes with automated optical and computational systems
3Measurement precision
If characteristic information analysis is performed to verify article identity, then the verification reliability increases, but the processing time and complexity increase
Solution Approach 1:
Characteristic information is extracted and stored on the label during the label creation process, before the verification stage. This preliminary action ensures that reference data is already prepared and available, eliminating the need for time-consuming analysis during verification and enabling rapid comparison with the actual article
Solution Approach 2:
The system utilizes optical properties and image analysis techniques to rapidly capture and compare visual characteristics of articles. By converting physical article properties into digital image data and comparing key visual features, the system achieves fast and accurate verification without requiring extensive processing time
Data Source
AI summary
The label creating device is configured to image the article and generate code information including first characteristic information indicating a characteristic of the article and first identification information associated with the article. The label creating device is configured to create the label on which the code information is printed. The information device is configured to image the article and the code information, to extract the first characteristic information and the first identification information from the code information, to analyze the characteristic of the article, to generate the second characteristic information, and to acquire the second identification information used for determining the first identification information. The information device is configured to determine whether the first characteristic information and the second characteristic information match each other, and whether the first identification information and the second identification information match each other.