In the famous liquor consumption market, the rampant proliferation of counterfeit liquor seriously threatens consumer rights and brand reputation. Traditional identification methods rely heavily on manual experience, which suffers from strong subjectivity, low efficiency and high error susceptibility, making it difficult to keep pace with high-grade imitation and counterfeiting technologies. The AI solution for famous liquor authentication takes multimodal AI recognition technology as the core and blockchain anti-counterfeiting as the guarantee. Through image analysis, spectral detection and big data comparison, it realizes accurate and rapid authenticity identification of famous liquor. Focusing on the three major pain points — low identification efficiency, inadequate anti-counterfeiting means and data silos — the solution proposes an authentication system of one scan, one binding and three verifications:
One scan: Adopt high-precision image sensors and near-infrared spectroscopy technology to collect features such as bottle appearance, labels and bottle caps in a non-contact manner.
One binding: Bind the unique identification code of each bottle of famous liquor, such as RFID tags or QR codes, to its blockchain digital identity to ensure tamper-proof traceability.
Three verifications:
AI Visual Comparison: Leverage deep learning models to analyze label texture, printing details and bottle craftsmanship so as to identify counterfeit traces.
Spectral Composition Analysis: Detect the spectral characteristics of liquor samples, compare
them with the genuine product database, and accurately judge ingredient consistency.
Real-time On-chain Verification: The blockchain platform verifies product circulation records in real time to prevent repackaging and parallel trafficking.

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