Sample Analysis System Dual Identification for Barcode Scanning Failures
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Solution Overview
Problem
Existing sample analysis systems face interruptions and inefficiencies due to scanning failures caused by poor quality or scratches on sample barcodes, which prevent the accurate determination of sample identifiers.
Innovation Solution
The system incorporates a scanning component and an image information obtaining component to scan and capture images of sample identifiers, with a processor that identifies the sample identifier using either scanning information or image information, ensuring accurate identification even in cases of scanning failure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If barcode scanning is used to identify samples, then automation and efficiency are improved, but scanning failures occur due to poor quality or scratches on barcodes
Solution Approach 1:
The patent introduces an image information obtaining component as an intermediary between the scanning component and the processor. When scanning fails due to barcode quality issues, this component captures image information of the region containing the sample identifier, which then serves as an alternative data source for the processor to identify the sample, thus maintaining reliability while preserving automation.
Solution Approach 2:
The system performs preliminary scanning to attempt automated identification. Only when this preliminary action fails does it proceed to obtain image information as a backup. This preliminary action approach maintains high automation for normal cases while preparing a fallback mechanism to ensure reliability when needed.
2Reliability
If multiple identification methods are implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The identification system is designed dynamically, switching between scanning-based identification and image-based identification based on real-time conditions. The processor determines which method to use based on whether scanning succeeds or fails, making the system adaptable rather than statically complex. This dynamic approach improves reliability without permanently increasing device complexity.
Data Source
AI summary
A sample analysis system and a sample management method are provided. The sample analysis system includes: one or more analysis devices configured to test a sample; a scanning component configured to scan the sample to obtain scanning information before testing the sample by the analysis devices; an image information obtaining component configured to acquire image information of a region in the sample containing a sample identifier; a processor configured to identify the sample identifier of the sample according to at least one of the scanning information or the image information of the sample. The system can obtain the sample identifier of a sample in two ways, thus improving the efficiency of sample test.