The application discloses a product identity
verification method fusing a two-dimensional code and a visual
fingerprint, comprising the following steps: obtaining two-dimensional code information of a product to be verified, guiding and collecting a high-definition image of a preset feature anchor area of the product based on an associated digital twin model through AR technology; performing geometric and illumination correction preprocessing on the image, extracting a to-be-verified visual
fingerprint vector with local invariance and global depth texture features; combining the vector with the two-dimensional code information and a salt value, generating a to-be-verified composite identity hash value through a
cryptographic hash function; comparing the hash value with an original hash value pre-stored on a
distributed ledger, if the hash values are inconsistent, calculating the similarity between the to-be-verified visual
fingerprint and an original visual fingerprint through a twin neural network, and performing auxiliary
verification; the application realizes high-security and convenient product identity
authentication by strongly binding an external two-dimensional code and internal physical features of a product, and adopts a
cascade verification strategy, and effectively prevents counterfeiting.