In the famous liquor consumption market, the rampant problem of counterfeit liquor seriously threatens consumer rights and brand reputation. Traditional identification methods rely on manual experience, which has limitations such as strong subjectivity, low efficiency, and susceptibility to errors, making it difficult to cope with high imitation and forgery technology. The AI solution for authenticating famous liquor is based on "multimodal AI recognition technology as the core and blockchain anti-counterfeiting as the guarantee". Through image analysis, spectral detection, and big data comparison, it achieves accurate and rapid identification of the authenticity of famous liquor. This plan focuses on the three major pain points of "low identification efficiency, weak anti-counterfeiting measures, and data silos", and proposes a "one scan, one binding, and three verification" authentication system:
One scan: Using high-precision image sensors and near-infrared spectroscopy technology, non-contact collection of features such as bottle appearance, labels, bottle caps, etc.
One binding: Bind the unique identification code (such as RFID tag or QR code) of each bottle of famous liquor with the blockchain digital identity to ensure that traceability cannot be tampered with.
Three verifications:
AI Visual Comparison: Using deep learning models to analyze wine label texture, printing details, and bottle craftsmanship, identifying counterfeit traces;
Spectral composition analysis: detect the spectral characteristics of the liquor, compare it with the authentic database, and accurately determine the consistency of the ingredients;
Real time on chain verification: The blockchain platform verifies product circulation records in real-time to prevent secondary packaging or smuggling activities.

Dedicated to the research and development of core visual algorithm technologies, product innovation and industry applications, empowering AI+ diversified scenarios, facilitating industrial upgrading
Contact Us