Beef freshness detection method and detection system

By designing a beef freshness detection system for automatic stretching, rinsing and drying, the problem that existing detection methods rely on manual experience and sample surface changes affect the results, and a high-precision and standardized detection process is achieved.

CN119715528AInactive Publication Date: 2025-03-28YANGXIN XIAOXIONG ANIMAL HUSBANDRY CO LTD
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Patent Information

Application Number
CN202411930715.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-26
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing beef freshness detection methods rely on manual experience, lack unified standards, insufficient detection accuracy, and changes in the surface moisture content and wrinkles of the sample affect the detection results.

Method used

Design a beef freshness detection system, including sample detection equipment and detection platform. The equipment is equipped with visual identification components, cleaning mechanisms, locking extension components and lifting mechanisms. Through automatic stretching, rinsing and drying, it ensures that the moisture content of the sample surface is consistent and avoids wrinkle interference.

Benefits of technology

It improves the accuracy and reliability of the detection, reduces the difficulty of pre-processing of the sample in the early stage, and the entire detection process is highly standardized and unified.

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Abstract

The invention provides a beef freshness detection method and detection system, and relates to the technical field of optical identification detection, the detection system comprises a sample detection device and a detection platform, the sample detection device carries a visual identification assembly, a cleaning mechanism, a locking extension assembly and a lifting mechanism, a light source control system, a database, a feature extraction module and a prediction analysis module are further carried in the visual recognition assembly, a model is established in the detection platform, and side plates are welded to the two sides of the sample detection equipment. According to the method, the water content of the surface layers of different samples is highly consistent, the interference of wrinkles on the surface of the to-be-detected beef sample on the final result in the image acquisition process is avoided, the detection accuracy is improved, the pretreatment difficulty of the beef sample in the early stage is reduced, and the whole detection process is highly standardized and unified.
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